1 | |
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2 | |
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3 | #define CODENAME "NBI" |
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4 | #define VERSION "1" |
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5 | |
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6 | /* ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
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7 | |
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8 | NBI |
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9 | A set of numerical integrators for the gravitational N-body problem. |
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10 | |
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11 | (C) Copyright 1996 Ferenc Varadi. All rights reserved. |
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12 | This copyright notice is intended to prevent the commercial use of this code. |
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13 | The code is free and can be freely distributed. |
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14 | Do not remove this copyright notice unless you make changes in the code. |
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15 | If you make changes in the code, add your name to the copyright notice. |
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16 | |
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17 | The usual disclaimers apply, i.e., use the code at your own risk. |
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18 | The author does not guarantee anything. |
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19 | |
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20 | This code was developed by F. Varadi in collaboration |
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21 | with M. Ghil, W. I. Newman, W. M. Kaula, K. Grazier, D. Goldstein |
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22 | and M. Lessnick. The partial financial support of NSF Grant |
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23 | ATM95-23787 (M. Ghil and F. Varadi) is gratefully acknowledged. |
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24 | |
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25 | If you have any questions, suggestions etc., contact F. Varadi, |
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26 | e-mail: varadi@ucla.edu |
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27 | WWW: http://www.atmos.ucla.edu/~varadi |
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28 | |
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29 | |
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30 | For the impatient: |
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31 | Save this file as NBI.c |
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32 | Compile the code as |
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33 | cc -o NBI NBI.c -lm |
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34 | |
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35 | Download the sample input file NBIsampleinput and save it as |
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36 | NBIsampleinput. It is an input file for the outer Solar System, with |
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37 | the planets from Jupiter through Neptune based on the Jet Propulsion |
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38 | Laboratory's DE403 (Digital Ephemeris 403). This was obtained |
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39 | from the ftp site navigator.jpl.nasa.gov, updates can be accessed |
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40 | there. |
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41 | |
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42 | Run the code: |
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43 | NBI NBIsampleinput |
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44 | Take a look at the output in NBIsampleoutput and the log file |
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45 | NBIsampleoutput.log Change the MAXNBODIES macro, i.e., the |
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46 | maximum number of particles, to suit your needs. It is set to |
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47 | 2100 in this version. |
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48 | |
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49 | 1) Description: |
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50 | Four numerical integrators for the gravitational (nonrelativistic) |
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51 | N-body problem are bundled into a single source code. The N bodies |
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52 | are assumed to be point masses. Particles with zero mass are called |
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53 | test particles; they are assumed not to influence each other and |
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54 | the particles with nonzero mass. |
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55 | |
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56 | The integrators are: |
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57 | |
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58 | a) A Wisdom-Holman-type mapping for hierarchical N-body systems. |
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59 | Code name: HWH, maximum global order = 4 |
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60 | This can deal with more general arrangements than the standard |
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61 | Wisdom-Holman mapping. Hierarchical N-body systems are described |
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62 | by Roy (1988). These are represented in the code by binary trees. |
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63 | The integrator takes advantage of certain properties of |
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64 | symplectic forms and Jacobi coordinates, these will be described |
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65 | in a paper (in preparation). We also use singularly weighted |
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66 | symplectic forms, these are discussed by Varadi et al. (1995). |
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67 | |
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68 | b) A modified Cowell-Stormer integrator, with modifications by |
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69 | W. I. Newman and his students. |
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70 | Code name: CSN, max global order = 15 |
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71 | Note: (global order) = (local order) - 2 (Goldstein, 1996) |
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72 | |
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73 | c) A Gragg-Bulirsch-Stoer integrator, as it is described by |
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74 | Hairer et al., (1993). |
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75 | Code name: GBS, max order = 20 (max stage = 10) |
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76 | IMPORTANT: The user has to specify the number of stages |
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77 | in the input file and not the order. Order = 2*(number of stages), |
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78 | see the Notes below. |
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79 | |
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80 | d) A symplectic mapping with Kinetic-Potential energy splitting |
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81 | Code name: SKP, max global order = 4 |
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82 | This is included for the sake of completeness. |
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83 | |
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84 | |
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85 | 2) References: |
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86 | |
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87 | Goldstein, D.: 1996, The Near-Optimality of Stormer |
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88 | Methods for Long Time Integrations of y''=g(y), |
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89 | Ph.D. Dissertation, Univ. of California, Los Angeles, |
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90 | Dept. of Mathematics |
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91 | |
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92 | Hairer, E., Norsett, S. P. and Wanner, G.: 1993, |
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93 | Solving Ordinary Differential Equations I. Nonstiff Problems. |
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94 | Second Revised Edition |
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95 | |
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96 | Lessnick, M.: 1996, Stability Analysis of Symplectic |
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97 | Integration Schemes, Ph.D. Dissertation, Univ. of California, |
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98 | Los Angeles, Dept. of Mathematics |
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99 | |
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100 | Roy, A. E.: 1988, Orbital Motion, Institute of Physics |
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101 | Publishing, Bristol |
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102 | |
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103 | Varadi, F. De la Barre, Kaula, W. M. and Ghil, M.: 1995, |
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104 | Singularly Weighted Symplectic Forms and Applications to |
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105 | Asteroid Motion, Celestial Mechanics and Dynamical Astronomy, |
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106 | vol. 62, pp. 23-41 |
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107 | |
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108 | Yoshida, H.: 1993, Recent Progress in The Theory and |
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109 | Application of Symplectic Integrators, |
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110 | Celestial Mechanics and Dynamical Astronomy, vol. 56, pp. 27-43 |
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111 | |
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112 | |
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113 | |
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114 | 3) Notes |
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115 | |
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116 | All long-term integrations suffer from roundoff errors. |
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117 | Symplectic schemes guarantee symplecticity for short |
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118 | integrations but they are not strictly symplectic |
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119 | for very long integrations. The implementation of |
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120 | the Wisdom-Holman mapping in this code was aimed at |
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121 | reducing the effects of roundoff errors and thus make |
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122 | the scheme as symplectic as possible. |
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123 | |
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124 | The Cowell-Stormer integrator, being a multistep |
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125 | integrator, has to be intialized. In theory, the starting |
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126 | points should be computed with machine precision. This |
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127 | can be done using quadrupole precision arithmetic but |
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128 | the Gragg-Bulirsch-Stoer scheme in double precision |
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129 | appers to be quite adequate. It should be noted that |
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130 | the stability of the Cowell-Stormer scheme ensures |
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131 | that initial errors do not grow due to computational |
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132 | limitations (Goldstein, 1996). |
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133 | |
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134 | In the case of the Gragg-Bulirsch-Stoer scheme one |
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135 | specifies the number of stages k in the extrapolation |
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136 | scheme. The order of the method is then 2*k. |
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137 | This factor of 2 comes from the fact that the |
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138 | underlying method (Gragg's) has only even powers |
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139 | of the step size in the expansion of the local error |
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140 | (cf. Hairer et al., 1993, especially equation 9.22). |
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141 | |
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142 | All integrators use only G*mass, there is no need for |
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143 | the masses themselves nor the value of G. Any set of units |
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144 | can be used: |
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145 | distance_unit for position, |
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146 | time_unit for time and step size, |
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147 | distance_unit/time_unit for velocity. |
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148 | E.g., one can use AU, day and AU/day as units. |
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149 | |
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150 | None of the codes is regularized in any sense. We intend |
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151 | to provide regularized code in the future. For the Wisdom-Holman |
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152 | mapping this involves changing the tree of Jacobian reference |
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153 | frames and dealing with the transition region accurately. |
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154 | |
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155 | In the case of the Wisdom-Holman mapping, the computation of |
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156 | acceleration differences between Jacobi and inertial coordinates |
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157 | could be improved in order to further reduce roundoff error. |
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158 | These differences can be represented by multi-pole expansions |
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159 | of the potential but we have not explored the details yet. |
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160 | |
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161 | The present version of the integrator does not monitor error. |
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162 | |
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163 | The choice of step size is up to the user. In most cases |
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164 | one has to adjust the step size to the shortest orbital |
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165 | period T in the system. The Wisdom-Holman mapping at second |
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166 | order is usually used with step size of T/10-T/100. |
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167 | We recommend T/1000 for Cowell-Stormer integrator |
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168 | since this renders the calculation EXACT to double |
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169 | precision, even for high (e=0.5) eccentricities. |
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170 | The cost of using this short time step is substantially |
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171 | compensated by reduced computational complexity (as |
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172 | compared to the Wisdom-Holman mapping). For much larger |
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173 | step sizes the integrator is not stable. |
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174 | |
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175 | The Gragg-Bulirsch-Stoer method appears to be stable |
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176 | for large orders and step sizes. For order 20 one can |
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177 | even use T/5 as the step size and still get accurate results. |
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178 | Since this is an accurate but compuationally very expensive |
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179 | integrator, it is mainly used by us for short integrations. |
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180 | We have not investigated the propagation of roundoff |
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181 | error in the GBS method. |
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182 | |
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183 | |
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184 | 4) How to compile: |
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185 | Since there is only a single source file, it is very easy to |
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186 | compile the code with whatever C compiler is available. The |
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187 | code was compiled and tested on Sun SPARCstations (Solaris 2.5.1 |
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188 | and earlier) and DEC Alpha workstations (Digital UNIX V3.2). |
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189 | For instance, on the SPARCstations, |
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190 | |
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191 | cc -fast -xO5 -xdepend -o NBI NBI.c -lm |
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192 | |
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193 | should work with Sun's C compiler. The code uses only the standard |
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194 | C library, more exactly: I/O functions, exit, malloc and free for |
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195 | the tree, sqrt, cbrt, sin, cos, sinh, cosh. |
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196 | |
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197 | Caution: optimization may introduce problems with some compilers |
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198 | and it is prudent to check the correctness of the optimized code |
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199 | by compiling without optimization, e.g., |
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200 | cc -g -o NBI_no_op NBI.c -lm |
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201 | By comparing the output from NBI and NBI_no_op one can detect if |
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202 | the optimization leads to any problems. (It should not but in |
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203 | practice the situation is not so clear.) |
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204 | |
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205 | One also can play with various compiler switches which control |
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206 | roundoff but we have not explored these. |
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207 | |
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208 | 5) How to run |
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209 | |
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210 | NBI inputfile |
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211 | |
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212 | (Everything has to be specified in inputfile.) |
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213 | |
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214 | 6) On hierarchical N-body systems |
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215 | |
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216 | We can give only a brief introduction into these; a detailed technical |
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217 | description is in preparation. Our approach is somewhat different |
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218 | from that of Roy (1988). |
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219 | |
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220 | One starts with the concept of joining subsystems and applies this |
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221 | concept recursively to form new systems. When two subsystems are |
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222 | joined, the two subsystems are assumed to behave as point masses |
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223 | and thus define the appropriate two-body problem for the Wisdom-Holman |
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224 | mapping. The subsystems are, in general, not point masses and one |
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225 | takes this into account in the perturbation step of the Wisdom-Holman |
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226 | mapping. |
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227 | |
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228 | Instead of a simple chain of Jacobi coordinates, the code uses a |
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229 | tree of Jacobi coordinates. This makes it possible to use the code |
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230 | e.g., in situations when the massive particles have sattelites, either |
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231 | massive ones or not. It also reduces, when carefully specified, the |
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232 | integration error since more of the perturbations are absorbed into |
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233 | two-body interactions. The tree has to be specified in the input file. |
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234 | One can define this tree formally as it is processed by the code which |
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235 | works like a simple finite automaton but we did not use lex, yacc or |
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236 | any other compiler-compiler tools. |
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237 | |
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238 | Tree description rules: |
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239 | Rule 1) particles are indexed by consecutive natural numbers, from 1 to N, |
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240 | Rule 2) particles are subsystems, |
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241 | Rule 3) (x y) : join the subsystems x and y to create a new subsystem., |
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242 | Rule 4) [i1 - i2] denotes a set of test particles, from index i1 to index i2, |
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243 | which are treated the same way, |
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244 | Note: the space before and after - is necessary! |
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245 | Rule 5) ([i1 - i2] i3) is forbidden, use instead (i3 [i1 - i2]) |
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246 | |
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247 | Example: 2000 main belt asteroids, from 6 to 2006, and |
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248 | Sun, Jupiter, Saturn, Uranus and Neptune (1 - 5) |
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249 | can described as |
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250 | (((((1 [6 - 2006]) 2) 3) 4) 5) |
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251 | |
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252 | Another example for the tree specification when test particles between |
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253 | Jupiter and Saturn are added with indeces from 6 to 1000 and another set |
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254 | of test particles is added between Saturn and Uranus with indices from |
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255 | 1001 to 2000. The indices for the massive bodies are: |
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256 | Sun 1, Jupiter, 2, Saturn 3, Uranus 4, Neptune 5. |
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257 | ((((((1 2) [6 - 1000]) 3) [1001 - 2000]) 4) 5) |
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258 | |
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259 | Yet another example: the Sun, Earth, Moon, Jupiter and Io with indeces |
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260 | 1,2,3,4 and 5, respectively, for which the tree is |
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261 | ((1 (2 3)) (4 5)) |
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262 | |
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263 | |
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264 | 7) Format of the input file |
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265 | Id method order step_size total_integration_time printing_time |
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266 | number_of_particles |
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267 | |
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268 | tree_description |
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269 | |
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270 | GMs of particles, possibly zeros |
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271 | |
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272 | Initial conditions: x,y,z, vx, vy, vz |
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273 | |
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274 | Explanation: |
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275 | |
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276 | Id is an arbitrary string which specifies the name of the experiment. |
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277 | |
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278 | Method can be SKP, HWH, CSN and GBS. |
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279 | |
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280 | Tree_description is used only when the method is HWH or the HWH is used |
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281 | to initialize CSN. One can put a dummy tree description of the form |
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282 | (1 2) |
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283 | in the input file when HWH is not used. This will satisfy the parser |
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284 | which processes the tree description but will not play any role in the |
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285 | integration. |
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286 | |
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287 | |
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288 | Example: |
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289 | For Sun, Jupiter, Saturn, Uranus and Neptune, |
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290 | with indeces 1,2,3,4 and 5, in heliocentric coordinates. |
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291 | |
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292 | SomeId HWH 4 100.0 365.0e+4 1.0e+4 |
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293 | 5 |
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294 | ((((1 2) 3) 4) 5) |
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295 | |
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296 | 0.295912208285591095e-03 |
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297 | 0.282534590952422643e-06 0.845971518568065874e-07 |
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298 | 0.129202491678196939e-07 0.152435890078427628e-07 |
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299 | |
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300 | 0.0 0.0 0.0 0.0 0.0 0.0 |
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301 | |
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302 | -0.538420940678015203e+01 -0.831247035699103631e+00 -0.225095848657298592e+00 |
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303 | 0.109236311953937086e-02 -0.652329334256263223e-02 -0.282301443780311710e-02 |
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304 | |
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305 | 0.788989169798583756e+01 0.459570785756998301e+01 0.155843220515231762e+01 |
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306 | -0.321720261683698921e-02 0.433063255278440598e-02 0.192641782724487106e-02 |
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307 | |
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308 | -0.182698980946940850e+02 -0.116271406901560681e+01 -0.250371938307287545e+00 |
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309 | 0.221540447608191936e-03 -0.376765389967669917e-02 -0.165324449144407023e-02 |
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310 | |
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311 | -0.160595376822070470e+02 -0.239429495784517528e+02 -0.940042953888094424e+01 |
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312 | 0.264312302715172384e-02 -0.150349219713705076e-02 -0.681271071793930938e-03 |
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313 | |
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314 | |
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315 | There are 2 output files: |
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316 | 1) SomeId contains the actual integration data |
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317 | 2) SomeId.log contains a copy of the input data and error messages. |
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318 | Some error messages might be sent to the standard output and the user |
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319 | has to redirect it in order to capture them. |
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320 | |
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321 | In the case of the Cowell-Stormer integrator, an additional file, SomeId.lerr |
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322 | is created. This contains the LOCAL truncation error of the integration, |
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323 | computed for each step but only printed for the last step in the printing |
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324 | cycle. This also should help to determine the appropriate step size. |
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325 | |
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326 | The output is in the original coordinate system, i.e., inertial and not Jacobian. |
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327 | Output is produced when time is an integer multiple of the specified printing |
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328 | time. The following is printed: |
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329 | time relative_change_in_total_energy relative_change_in_ang.mom.z.comp. |
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330 | after which |
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331 | x y z |
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332 | dx dy dz |
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333 | for each particle. |
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334 | |
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335 | |
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336 | 9) The uset can change the code, of course. The section MAIN LOOP is where |
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337 | this can be done easily. You can insert code to do more things, e.g., |
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338 | detecting close approaches. |
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339 | |
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340 | 10) MACROS TO GIVE SOME CONTROL OVER THINGS. |
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341 | Changes in the code that you can make HERE: |
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342 | CHANGE the DIM macro to 2 for planar motions. |
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343 | (Note: a variables dim is also used, easy to change |
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344 | it everywhere to DIM. It is still better to keep |
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345 | the Kepler solver in the more general 3-dimensional form.) |
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346 | CHANGE the MAXNBODIES macro to whatever you want, |
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347 | including test particles. |
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348 | |
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349 | **************** END OF DESCRIPTION ********************** */ |
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350 | |
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351 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
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352 | USER-CHANGEABLE MACROS */ |
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353 | |
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354 | /* dimension of physical space */ |
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355 | #define DIM 3 |
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356 | /* max number of bodies, obviously */ |
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357 | #define MAXNBODIES 2100 |
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358 | |
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359 | /* TOLERANCES */ |
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360 | |
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361 | /* the extrapolation scheme stops when |
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362 | Tj,k - T(j-1),k becomes smaller than this */ |
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363 | #define GBSTOL 5.0e-32 |
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364 | |
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365 | /* The solution of Kepler's equation is accepted when |
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366 | when iterates change by an amount smaller than this */ |
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367 | #define KEPLERSOLVERTOLERANCE 5.0e-16 |
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368 | |
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369 | /* what method and order to use to initialize the CSN integrator, GBS or HWH */ |
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370 | #define CSNINITGBS 1 |
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371 | #define CSNINITGBSORDER 4 |
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372 | #define CSNINITHWH 2 |
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373 | #define CSNINITHWHORDER 4 |
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374 | int csninit = CSNINITGBS; |
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375 | |
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376 | |
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377 | /* which extrapolation sequence to use in the GBS method */ |
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378 | #define EXSEQHARM int extrapolseq[] = { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; |
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379 | #define EXSEQBUL int extrapolseq[] = { 0, 1, 2, 3, 4, 6, 8, 12, 16, 24, 32}; |
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380 | |
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381 | /* cange this line accordingly */ |
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382 | EXSEQBUL |
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383 | |
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384 | |
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385 | /* VVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV */ |
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386 | |
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387 | /* The actual code. |
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388 | Change things below this line at your own peril. |
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389 | |
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390 | */ |
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391 | |
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392 | /* MACROS TO DISTINGUISH BETWEEN TEST PARTICLES AND |
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393 | PARTICLES WITH FINITE MASS |
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394 | You can add more types here, these values are stored |
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395 | in tpstore for each particle |
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396 | e.g., you could define stopped test particles, |
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397 | but you have to change the code accordingly. |
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398 | It is perhaps easier to add more integer arrays. |
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399 | IMPORTANT: THE TREE MAINTAINS ITS OWN INTEGER ARRAYS |
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400 | WHICH HOLD TEST PARTICLE INDICES. |
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401 | */ |
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402 | |
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403 | #define NOTTESTPARTICLE 1 |
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404 | #define TESTPARTICLE 0 |
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405 | |
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406 | /* the header files we need, only standard stuff */ |
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407 | #include <stdio.h> |
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408 | #include <stdlib.h> |
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409 | #include <string.h> |
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410 | #include <math.h> |
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411 | #include "omp.h" |
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412 | |
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413 | /* Macro definitions */ |
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414 | #define NUMMETHODS 4 |
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415 | #define SKP 1 |
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416 | #define HWH 2 |
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417 | #define CSN 3 |
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418 | #define GBS 4 |
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419 | |
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420 | /* it is really the number of stages for GBS */ |
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421 | char *methodnames[] = { " ", "SKP", "HWH", "CSN", "GBS" }; |
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422 | #define MAXCSN 15 |
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423 | #define MAXGBS 10 |
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424 | int MAXORDERS[] = { 0, 4, 4, MAXCSN, MAXGBS }; |
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425 | |
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426 | /* |
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427 | MACROS WHICH DEFINE WHAT IS STORED FOR THE PARTICLES |
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428 | from 1 to 6: x y z vx vy vz |
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429 | 7: G*mass |
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430 | from 8 to 10: accelerations in x, y and z |
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431 | e.g., particle i's y velocity is |
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432 | parts[i][5] |
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433 | */ |
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434 | |
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435 | #define TMPSIZE (2*DIM+1) |
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436 | /* Note: we need only the G*mass for the actual integrations */ |
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437 | #define GMASSCO (7) |
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438 | #define ACC (7) |
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439 | /* you can add more data for particles here |
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440 | but keep NPARTDATA to specify the total number of |
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441 | coordinates and other components */ |
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442 | #define NPARTDATA (ACC+3) |
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443 | /* this is used from index 1 in both indeces */ |
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444 | #define DECLARR [MAXNBODIES+1][NPARTDATA+1] |
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445 | |
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446 | /* Cowell-Stormer-Newman array */ |
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447 | #define DECLSTORMER [MAXNBODIES+1][DIM+1][MAXCSN+2] |
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448 | /* Gragg-Bulirsch-Stoer array */ |
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449 | #define DECLBS [MAXNBODIES+1][2*DIM+1][2][MAXGBS+2] |
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450 | |
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451 | #define DIM2 (2*DIM) |
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452 | |
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453 | /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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454 | GLOBAL DATA |
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455 | ARRAYS THAT HOLD THE PARTICLES AND AUXILIARY DATA |
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456 | */ |
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457 | |
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458 | /* ARRAYS THAT HOLD THE PARTICLES' DATA. |
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459 | This can be moved into main() without |
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460 | any adverse effect. */ |
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461 | double parts DECLARR; |
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462 | |
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463 | /* This holds test particle indices. |
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464 | It seems easier to keep this global. It is used, e.g., |
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465 | by PlainAccel to avoid the computation of force between |
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466 | test particles. */ |
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467 | int tpstore[MAXNBODIES+1]; |
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468 | |
---|
469 | /* this is needed for error messages from deep within the integrator */ |
---|
470 | FILE *FLOG; |
---|
471 | |
---|
472 | /* Local error monitoring for the Cowell-Stormer integrator */ |
---|
473 | double CSNerror = 0; |
---|
474 | |
---|
475 | |
---|
476 | /* FUNCTION AND STRUCT DECLARATIONS */ |
---|
477 | |
---|
478 | /* the tree to store Jacobi coordinates */ |
---|
479 | struct tree { |
---|
480 | double tmass; /* total G*mass */ |
---|
481 | double rm1; /* total mass / mass1 */ |
---|
482 | double rm2; /* total mass / mass2 */ |
---|
483 | double bc[DIM2+1]; /* barycenter: position and velocity |
---|
484 | for actual particle these are pos. and vel. */ |
---|
485 | double acc[DIM+1]; |
---|
486 | /* nonzero particle index indicates that this is one with finite mass |
---|
487 | or it is an array of test particles which can be processed in a simple loop, |
---|
488 | zero means that this is a node in the tree |
---|
489 | */ |
---|
490 | int particleindex; /* nonzero indicates actual particle(s) */ |
---|
491 | struct tree *p1; |
---|
492 | struct tree *p2; |
---|
493 | int *testparticles; /* nonzero indicates array of test particles */ |
---|
494 | }; |
---|
495 | |
---|
496 | |
---|
497 | int CStep(int ord, double h, int nump, double parts DECLARR, |
---|
498 | struct tree *treein); |
---|
499 | |
---|
500 | int GBSStep(int ord, double h, int nump, double parts DECLARR); |
---|
501 | |
---|
502 | /* makes a simple chain, usual planetary motion case */ |
---|
503 | struct tree *MakeSimpleTree(int nump); |
---|
504 | /* makes an arbitrary tree from a textual description, i.e., |
---|
505 | parses the text and builds the tree */ |
---|
506 | struct tree *MakeTree(FILE *f); |
---|
507 | |
---|
508 | /* Fill tree with barycenters, used to initialize the tree */ |
---|
509 | int FillCMinTree(struct tree *tree, double p DECLARR); |
---|
510 | /* copy particle coordinates from tree; |
---|
511 | since the tree is the primary storage for the coordinates |
---|
512 | of particles with finite mass, one needs to call this |
---|
513 | before accessing data in the "parts" array |
---|
514 | */ |
---|
515 | int ParticlesFromTree(struct tree *tree, double p DECLARR); |
---|
516 | |
---|
517 | /* The actual HWH integrator */ |
---|
518 | int HWHStep(int order, struct tree *tree, double stepsize, double p DECLARR); |
---|
519 | |
---|
520 | /* Kinetic-potential energy split */ |
---|
521 | int SKPStep(int order, double stepsize, int nump, double p DECLARR); |
---|
522 | |
---|
523 | |
---|
524 | /* access integer arrays in trees that hold the indeces |
---|
525 | of test particles attached to that point, |
---|
526 | returns pointer to testparticles, |
---|
527 | included for the sake of completeness, not actually used */ |
---|
528 | int **GetTestParticles(struct tree *tree, int ind); |
---|
529 | |
---|
530 | |
---|
531 | /* VERY SIMPLE IO, you can write your own if you need something more */ |
---|
532 | int readdata(FILE *f, int num, double p DECLARR) { |
---|
533 | int i, j; double tmp; |
---|
534 | for ( i = 1; i <= num; ++i ) { |
---|
535 | fscanf(f, "%le", &tmp); p[i][GMASSCO] = tmp; } |
---|
536 | for ( i = 1; i <= num; ++i ) { |
---|
537 | for ( j = 1; j <= 6; ++j ) { |
---|
538 | fscanf(f, "%le", &tmp); p[i][j] = tmp; } } |
---|
539 | return num; } |
---|
540 | |
---|
541 | // X |
---|
542 | int printdataA(int num, FILE *f, double p DECLARR) { |
---|
543 | int i, j; |
---|
544 | for ( i = 1; i <= num; ++i ) { |
---|
545 | for ( j = 1; j <= DIM; ++j ) { |
---|
546 | fprintf(f, "%.14le ", p[i][j]); |
---|
547 | } |
---|
548 | fprintf(f, "%c", '\n'); |
---|
549 | for ( j = DIM+1; j <= 2*DIM; ++j ) { |
---|
550 | fprintf(f, "%.14le ", p[i][j]); |
---|
551 | } |
---|
552 | fprintf(f, "%c", '\n'); |
---|
553 | } |
---|
554 | return num; |
---|
555 | } |
---|
556 | |
---|
557 | // X |
---|
558 | int printdata(int num, FILE *f, double p DECLARR, int c1, int c2) { |
---|
559 | int i, j; |
---|
560 | for ( i = 1; i <= num; ++i ) { |
---|
561 | for ( j = c1; j <= c2; ++j ) { |
---|
562 | fprintf(f, "%.14le ", p[i][j]); } |
---|
563 | fprintf(f, "%c", '\n'); |
---|
564 | } |
---|
565 | return num; |
---|
566 | } |
---|
567 | |
---|
568 | //X total energy for particles with finite mass |
---|
569 | double energy(int nump, int dim, double p DECLARR, int *tps) { |
---|
570 | double h = 0, tmp, tmp2; |
---|
571 | int i,j,k; |
---|
572 | |
---|
573 | for ( i = 1; i <= nump; ++i ) { |
---|
574 | if ( tps[i] == 0 ) |
---|
575 | continue; |
---|
576 | tmp = 0.0; |
---|
577 | |
---|
578 | #pragma omp parallel for reduction(+:tmp) schedule(runtime) |
---|
579 | for ( k = 1; k <= dim; ++k ) { |
---|
580 | tmp = tmp + p[i][k+dim]*p[i][k+dim]; |
---|
581 | } |
---|
582 | tmp = tmp*p[i][GMASSCO]/2.0; |
---|
583 | |
---|
584 | h = h + tmp; |
---|
585 | for ( j = i+1; j <= nump; ++j ) { |
---|
586 | tmp = 0.0; |
---|
587 | #pragma omp parallel for reduction(+:tmp) schedule(runtime) |
---|
588 | for ( k = 1; k <= dim; ++k ) { |
---|
589 | tmp2 = p[i][k]-p[j][k]; |
---|
590 | tmp = tmp+tmp2*tmp2; |
---|
591 | } |
---|
592 | tmp = 1/sqrt(tmp); |
---|
593 | h = h - tmp*p[i][GMASSCO]*p[j][GMASSCO]; |
---|
594 | } |
---|
595 | } |
---|
596 | |
---|
597 | return h; |
---|
598 | } |
---|
599 | |
---|
600 | // X z component of angular momentum |
---|
601 | double angmomz(int nump, int dim, double p DECLARR, int *tps) { |
---|
602 | double az = 0.0; |
---|
603 | int i; |
---|
604 | |
---|
605 | for ( i = 1; i <= nump; ++i ) { |
---|
606 | if ( tps[i] == 0 ) |
---|
607 | continue; |
---|
608 | // x*vy - y*vx |
---|
609 | az = az + (p[i][1]*p[i][2+dim] - p[i][2]*p[i][1+dim]) * p[i][GMASSCO]; |
---|
610 | } |
---|
611 | return az; |
---|
612 | } |
---|
613 | |
---|
614 | // X transforms all particles to coordinates relative to barycenter |
---|
615 | int tobarycenter(int nump, int dim, double p DECLARR) { |
---|
616 | double bc[10]; |
---|
617 | int i, j; |
---|
618 | |
---|
619 | #pragma omp parallel private(j) |
---|
620 | #pragma omp for schedule(runtime) |
---|
621 | for (j = 0; j <= 2*dim; ++j ) |
---|
622 | bc[j] = 0.0; |
---|
623 | |
---|
624 | for ( i = nump; i >= 1; --i ) { |
---|
625 | bc[0] += p[i][GMASSCO]; |
---|
626 | #pragma omp parallel private(j) |
---|
627 | #pragma omp for schedule(runtime) |
---|
628 | for (j = 1; j <= 2*dim; ++j ) |
---|
629 | bc[j] += p[i][j]*p[i][GMASSCO]; |
---|
630 | } |
---|
631 | |
---|
632 | #pragma omp parallel private(j) |
---|
633 | #pragma omp for schedule(runtime) |
---|
634 | for (j = 1; j <= 2*dim; ++j ) |
---|
635 | bc[j] = bc[j]/bc[0]; |
---|
636 | |
---|
637 | |
---|
638 | for ( i = nump; i >= 1; --i ) { |
---|
639 | #pragma omp parallel private(j) |
---|
640 | #pragma omp for schedule(runtime) |
---|
641 | for (j = 1; j <= 2*dim; ++j ) |
---|
642 | p[i][j] -= bc[j]; |
---|
643 | } |
---|
644 | return 0; |
---|
645 | } |
---|
646 | |
---|
647 | |
---|
648 | |
---|
649 | |
---|
650 | /* """""""""""""""""""""""""""""""""""""""""""""""""""""""""" |
---|
651 | MAIN |
---|
652 | */ |
---|
653 | |
---|
654 | int main(int argc, char **argv) { |
---|
655 | FILE *f, *fin, *flog, *flocerr; |
---|
656 | char sicode[100]; |
---|
657 | int icode; /* SKP = 1 HWH = 2 CSN = 3 GBS = 4 */ |
---|
658 | struct tree *tree; int num, num2; |
---|
659 | int ii, i, order = 1, nin, nps; |
---|
660 | double stepsize; |
---|
661 | double time = 0.0, ftime, ptime; |
---|
662 | char fnamin[1000]; char id[1000]; |
---|
663 | double az, az0, toten, toten0; |
---|
664 | |
---|
665 | // get command-line argument |
---|
666 | if ( argc < 2 ) { exit(1); } |
---|
667 | sscanf(argv[1], "%s", fnamin); |
---|
668 | |
---|
669 | // read input file |
---|
670 | fin = fopen(fnamin, "r"); |
---|
671 | fscanf(fin, "%s", id); strcpy(fnamin, id); |
---|
672 | |
---|
673 | // create output and log file |
---|
674 | // id - name of output file |
---|
675 | f = fopen(id, "w"); strcat(fnamin, ".log"); flog = fopen(fnamin, "w"); |
---|
676 | FLOG = flog; |
---|
677 | |
---|
678 | #define FAILEDIN { fclose(fin); fclose(f); fclose(flog); exit(1); } |
---|
679 | |
---|
680 | fprintf(flog, "ID = %s\n", id); |
---|
681 | fscanf(fin, "%s", sicode); |
---|
682 | fscanf(fin, "%d", &order); fprintf(flog, "ORDER = %2d\n", order); |
---|
683 | icode = 0; |
---|
684 | for ( icode = 1; icode <= NUMMETHODS; ++icode ) { |
---|
685 | if ( strcmp(sicode, methodnames[icode] ) == 0 ) { |
---|
686 | if ( order < 1 || order > MAXORDERS[icode] ) { |
---|
687 | fprintf(flog, " Order %2d for method %s is not implemented \n", order, sicode); |
---|
688 | FAILEDIN |
---|
689 | } |
---|
690 | break; |
---|
691 | } |
---|
692 | } |
---|
693 | |
---|
694 | if ( icode > NUMMETHODS ) { |
---|
695 | fprintf(flog, " Invalid method code %s\n", sicode); |
---|
696 | FAILEDIN |
---|
697 | } |
---|
698 | |
---|
699 | |
---|
700 | fscanf(fin, "%le", &stepsize); fprintf(flog, "STEPSIZE = %.12f\n", stepsize); |
---|
701 | fscanf(fin, "%le", &ftime); fprintf(flog, "FINAL TIME = %.12f\n", ftime); |
---|
702 | fscanf(fin, "%le", &ptime); fprintf(flog, "PRINTING TIME = %.12f\n", ptime); |
---|
703 | fscanf(fin, "%d", &num); fprintf(flog, "NUMBER OF PARTS = %2d\n", num); |
---|
704 | |
---|
705 | if ( num > MAXNBODIES ) { |
---|
706 | fprintf(flog, " Too many particles, change MAXNBODIES macro in code "); |
---|
707 | FAILEDIN |
---|
708 | } |
---|
709 | |
---|
710 | /* initialize tpstore */ |
---|
711 | |
---|
712 | for ( i = 1; i <= num+2; ++i ) { |
---|
713 | tpstore[i] = NOTTESTPARTICLE; |
---|
714 | } |
---|
715 | |
---|
716 | /* this will TESTPARTICLE for test particles in tpstore */ |
---|
717 | tree = MakeTree(fin); |
---|
718 | |
---|
719 | /* For CSN create error file */ |
---|
720 | if ( icode == CSN ) { |
---|
721 | strcpy(fnamin, id); strcat(fnamin, ".lerr"); flocerr = fopen(fnamin, "w"); |
---|
722 | } |
---|
723 | |
---|
724 | num2 = readdata(fin, num, parts); |
---|
725 | /* DONE READING ALL INPUTS */ |
---|
726 | fclose(fin); |
---|
727 | |
---|
728 | /* zero out test particles' tpstore, again, just in case */ |
---|
729 | for ( i = 1; i <= num; ++i ) { |
---|
730 | if ( parts[i][GMASSCO] == 0.0 ) { |
---|
731 | tpstore[i] = TESTPARTICLE; |
---|
732 | } |
---|
733 | } |
---|
734 | |
---|
735 | if ( num != num2 ) exit(1); |
---|
736 | fprintf(flog, "GMs\n"); |
---|
737 | printdata(num, flog, parts, GMASSCO, GMASSCO); |
---|
738 | |
---|
739 | fprintf(flog, "Inits \n"); |
---|
740 | printdataA(num, flog, parts); |
---|
741 | |
---|
742 | fflush(flog); |
---|
743 | |
---|
744 | /* WATCH OUT FOR THIS |
---|
745 | The transformation to barycenter |
---|
746 | tends to improve things. |
---|
747 | */ |
---|
748 | tobarycenter(num, DIM, parts); |
---|
749 | fprintf(flog, "Actual Barycentric Inits \n"); |
---|
750 | printdataA(num, flog, parts); |
---|
751 | |
---|
752 | fprintf(flog, "Actual integrator is %s \n", sicode); |
---|
753 | fprintf(flog, "CODE: %s \n", CODENAME); |
---|
754 | fprintf(flog, "VERSION: %s \n", VERSION); |
---|
755 | fflush(flog); |
---|
756 | |
---|
757 | |
---|
758 | // z component of total angular momentum, it is used to monitor accumulation of roundoff |
---|
759 | az0 = angmomz(num, DIM, parts, tpstore); |
---|
760 | toten0 = energy(num, DIM, parts, tpstore); |
---|
761 | |
---|
762 | |
---|
763 | |
---|
764 | /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
---|
765 | ACTUAL INTEGRATION |
---|
766 | */ |
---|
767 | |
---|
768 | // the length of the inner loop, i.e., between printing |
---|
769 | nin = (int) (fabs(ptime)/fabs(stepsize)); |
---|
770 | |
---|
771 | if ( nin == 0 ) { |
---|
772 | fprintf(flog, "%s\n", " Stepsize is larger than printing time, aborted"); |
---|
773 | exit(1); |
---|
774 | } |
---|
775 | |
---|
776 | // the length of the outer loop, i.e., printings from beginning to end |
---|
777 | nps = (int) (fabs(ftime)/fabs(ptime)); |
---|
778 | |
---|
779 | fprintf(flog, "nin = %d nps = %d", nin, nps); |
---|
780 | |
---|
781 | /* WARNING: VERY LONG INTEGRATIONS CAN PRODUCE VERY LARGE |
---|
782 | INTEGERS AND ONE HAS TO MAKE SURE THAT THEY ARE STILL |
---|
783 | SMALLER THAN THE LARGEST REPRESENTABLE INTEGER |
---|
784 | ANOTHER WARNING: ROUNDOFF EFFECTS MAY CAUSE nin AND/OR nps TO BE |
---|
785 | DIFFERENT FROM WHAT THE USER EXPECTS |
---|
786 | */ |
---|
787 | |
---|
788 | |
---|
789 | /* print the first data point, i.e., the initial data */ |
---|
790 | #define PRINTDATA fprintf(f, "%.12f ", time);\ |
---|
791 | az = angmomz(num, DIM, parts, tpstore); \ |
---|
792 | toten = energy(num, DIM, parts, tpstore); \ |
---|
793 | fprintf(f, "%.16e ", (toten-toten0)/toten0); \ |
---|
794 | fprintf(f, "%.16e\n", (az-az0)/az0); \ |
---|
795 | printdataA(num, f, parts); |
---|
796 | |
---|
797 | #define PRINTERROR \ |
---|
798 | if ( icode == CSN ) { \ |
---|
799 | fprintf(flocerr, "%.12f %.12e\n", time, CSNerror); } |
---|
800 | |
---|
801 | PRINTDATA |
---|
802 | PRINTERROR |
---|
803 | |
---|
804 | |
---|
805 | /* MAIN LOOP */ |
---|
806 | for ( ii = 1; ii <= nps; ++ii ) { |
---|
807 | for ( i = 1; i <= nin; ++i ) { |
---|
808 | switch(icode) { |
---|
809 | case SKP: |
---|
810 | SKPStep(order, stepsize, num, parts); break; |
---|
811 | case HWH: |
---|
812 | HWHStep(order, tree, stepsize, parts); break; |
---|
813 | case CSN: |
---|
814 | CStep(order, stepsize, num, parts, tree); break; |
---|
815 | case GBS: |
---|
816 | GBSStep(order, stepsize, num, parts); break; |
---|
817 | default: |
---|
818 | fprintf(flog, "Not implemented\n"); |
---|
819 | fclose(flog); fclose(f); exit(1); break; |
---|
820 | } |
---|
821 | |
---|
822 | /* DONE ONE TIME STEP |
---|
823 | ADD MORE CODE HERE IF NECESSARY |
---|
824 | variables you can use: |
---|
825 | double time; |
---|
826 | double parts DECLARR; |
---|
827 | Note that actual time should be computed as |
---|
828 | actualtime = time+stepsize*i |
---|
829 | */ |
---|
830 | |
---|
831 | } |
---|
832 | |
---|
833 | time += stepsize*nin; |
---|
834 | fprintf(f, "end of step, time = %f\n", time); |
---|
835 | |
---|
836 | if ( icode == HWH ) { ParticlesFromTree(tree, parts); } |
---|
837 | |
---|
838 | /* CHANGE THIS PART OR ADD YOUR CODE IF NECESSARY */ |
---|
839 | |
---|
840 | PRINTDATA |
---|
841 | PRINTERROR |
---|
842 | |
---|
843 | if ( stepsize > 0.0 && time > ftime ) break; |
---|
844 | if ( stepsize < 0.0 && time < ftime ) break; |
---|
845 | |
---|
846 | } |
---|
847 | |
---|
848 | |
---|
849 | fclose(f); |
---|
850 | fprintf(flog, "\n Finished \n"); |
---|
851 | fclose(flog); |
---|
852 | if ( icode == CSN ) fclose(flocerr); |
---|
853 | |
---|
854 | return 0; |
---|
855 | } |
---|
856 | |
---|
857 | |
---|
858 | /* >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> |
---|
859 | FOR TEST: THE SIMPLE SPLIT, I.E., Kinetic - Potential |
---|
860 | It does not provide special treatment for test particles. |
---|
861 | */ |
---|
862 | int PlainSplitKineticStep(int num, double stepsize, double p DECLARR) { |
---|
863 | int i, k; |
---|
864 | for ( i = 1; i <= num; ++i ) { |
---|
865 | for ( k = 1; k <= DIM; ++k ) { |
---|
866 | p[i][k] += stepsize*p[i][k+DIM]; } } |
---|
867 | return 0; } |
---|
868 | |
---|
869 | int PlainSplitPotentialStep(int num, double stepsize, double p DECLARR) { |
---|
870 | int i, j, k; |
---|
871 | double tmp, tmp2, tmp3; |
---|
872 | for ( i = 1; i <= num; ++i ) { |
---|
873 | tmp = 0.0; |
---|
874 | for ( j = i+1; j <= num; ++j ) { |
---|
875 | tmp2 = 0.0; |
---|
876 | for ( k = 1; k <= DIM; ++k ) { |
---|
877 | tmp3 = p[i][k] - p[j][k]; |
---|
878 | tmp2 = tmp2 + tmp3*tmp3; } |
---|
879 | tmp3 = 1.0/sqrt(tmp2); |
---|
880 | tmp2 = tmp3/tmp2; |
---|
881 | for ( k = 1; k <= DIM; ++k ) { |
---|
882 | tmp3 = p[i][k] - p[j][k]; |
---|
883 | tmp = -tmp3*tmp2*p[j][GMASSCO]*stepsize; |
---|
884 | p[i][k+DIM] += tmp; |
---|
885 | tmp = tmp3*tmp2*p[i][GMASSCO]*stepsize; |
---|
886 | p[j][k+DIM] += tmp; } |
---|
887 | } |
---|
888 | } |
---|
889 | return 0; } |
---|
890 | |
---|
891 | |
---|
892 | |
---|
893 | /* >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> |
---|
894 | COWELL-STORMER INTEGRATOR */ |
---|
895 | |
---|
896 | |
---|
897 | /* this computes accelerations, used both for CSN and GBS, |
---|
898 | not to be confused with Accel used for HWH */ |
---|
899 | |
---|
900 | int PlainAccel(int num, double p DECLARR) { |
---|
901 | int i, j, k; int tpi, tpj; |
---|
902 | double tmp, tmp2, tmp3; |
---|
903 | double massi, massj; |
---|
904 | for ( i = 1; i <= num; ++i ) { |
---|
905 | for ( k = 1; k <= DIM; ++k ) { p[i][ACC+k] = 0.0; } } |
---|
906 | /* for testing things |
---|
907 | for ( i = 1; i <= num; ++i ) { |
---|
908 | for ( k = 1; k <= DIM; ++k ) { p[i][ACC+k] = 1.0; } } |
---|
909 | return 0; |
---|
910 | */ |
---|
911 | for ( i = num; i >= 1; --i ) { |
---|
912 | tpi = tpstore[i]; |
---|
913 | massi = p[i][GMASSCO]; |
---|
914 | for ( j = i+1; j <= num; ++j ) { |
---|
915 | tpj = tpstore[j]; |
---|
916 | if ( tpi == TESTPARTICLE && tpj == TESTPARTICLE ) continue; |
---|
917 | tmp2 = 0.0; |
---|
918 | for ( k = 1; k <= DIM; ++k ) { |
---|
919 | tmp3 = p[i][k] - p[j][k]; |
---|
920 | tmp2 = tmp2 + tmp3*tmp3; } |
---|
921 | tmp3 = 1.0/sqrt(tmp2); |
---|
922 | tmp2 = tmp3/tmp2; |
---|
923 | massj = p[j][GMASSCO]; |
---|
924 | for ( k = 1; k <= DIM; ++k ) { |
---|
925 | tmp3 = p[i][k] - p[j][k]; |
---|
926 | tmp = tmp3*tmp2; |
---|
927 | if ( tpj == NOTTESTPARTICLE ) { |
---|
928 | p[i][ACC+k] -= (tmp*massj); } |
---|
929 | if ( tpi == NOTTESTPARTICLE ) { |
---|
930 | p[j][ACC+k] += (tmp*massi); } |
---|
931 | } |
---|
932 | } |
---|
933 | } |
---|
934 | return 0; } |
---|
935 | |
---|
936 | /* Cowell-Stormer-Newman 14(6)th order */ |
---|
937 | |
---|
938 | |
---|
939 | /* Newman's 14(6)th order Stormer's coeffs */ |
---|
940 | |
---|
941 | double CSalpha[] = { 0.0, |
---|
942 | 1.000000000000000000000, |
---|
943 | 0.000000000000000000000, |
---|
944 | 0.083333333333333333333, |
---|
945 | 0.083333333333333333333, |
---|
946 | 0.079166666666666666666, |
---|
947 | 0.075000000000000000000, |
---|
948 | 0.071345899470899470899, |
---|
949 | 0.068204365079365079365, |
---|
950 | 0.065495756172839506172, |
---|
951 | 0.063140432098765432098, |
---|
952 | 0.061072649861712361712, |
---|
953 | 0.059240564123376623376, |
---|
954 | 0.057603625837453135733, |
---|
955 | 0.056129980884507174190, |
---|
956 | 0.054794379107071147139 |
---|
957 | }; |
---|
958 | |
---|
959 | |
---|
960 | double CSbeta[] = { 0.0, |
---|
961 | 1.50000000000000000000, |
---|
962 | 0.33333333333333333333, |
---|
963 | 0.37500000000000000000, |
---|
964 | 0.35277777777777777777, |
---|
965 | 0.33402777777777777777, |
---|
966 | 0.31924603174603174603, |
---|
967 | 0.30736607142857142857, |
---|
968 | 0.29757660934744268077, |
---|
969 | 0.28933077050264550264, |
---|
970 | 0.28225737868098979210, |
---|
971 | 0.27609762576993479771, |
---|
972 | 0.27066578505957226195, |
---|
973 | 0.26582499331955247133, |
---|
974 | 0.26147199790503706399, |
---|
975 | 0.25752728193649391773 |
---|
976 | }; |
---|
977 | |
---|
978 | |
---|
979 | |
---|
980 | double sumfrombottom(double *a, int nr, double *coef) { |
---|
981 | int i; |
---|
982 | double sum = 0.0; |
---|
983 | for ( i = nr; i >= 1; --i ) { |
---|
984 | sum += a[i]*coef[i]; } |
---|
985 | return sum; } |
---|
986 | |
---|
987 | int differencing(double *a, int nr, double in) { |
---|
988 | int i, j, p; |
---|
989 | double tmp1, tmp2; |
---|
990 | tmp1 = a[1]; a[1] = in; |
---|
991 | for ( i = 2; i <= nr; ++i ) { |
---|
992 | tmp2 = a[i]; a[i] = a[i-1]-tmp1; tmp1 = tmp2; } |
---|
993 | return 0; } |
---|
994 | |
---|
995 | |
---|
996 | |
---|
997 | static int CStepCount = 0; |
---|
998 | static int CStepInit = 0; |
---|
999 | static struct tree *initCStree; |
---|
1000 | |
---|
1001 | int CStep(int ord, double h, int nump, |
---|
1002 | double parts DECLARR, struct tree *treein) { |
---|
1003 | double *a, asav, vx, sum, tmp; int p,j, i; |
---|
1004 | static double df DECLSTORMER; |
---|
1005 | /* actual local order to determine how terms to sum */ |
---|
1006 | if ( CStepInit == 0 ) { |
---|
1007 | initCStree = treein; |
---|
1008 | CStepInit = 1; |
---|
1009 | for ( i = 1; i <= ord+1; ++i ) { |
---|
1010 | for ( p = 1; p <= nump; ++p ) { |
---|
1011 | for ( j = 1; j <= DIM; ++j ) { |
---|
1012 | df[p][j][i] = 0.0; } } } } |
---|
1013 | if ( CStepInit == 1 ) { |
---|
1014 | /* initialization stage */ |
---|
1015 | for ( p = 1; p <= nump; ++p ) { |
---|
1016 | for ( j = 1; j <= DIM; ++j ) { |
---|
1017 | df[p][j][0] = -parts[p][j]; } } |
---|
1018 | |
---|
1019 | if ( csninit == CSNINITHWH ) { |
---|
1020 | HWHStep(CSNINITHWHORDER, initCStree, h, parts); |
---|
1021 | ParticlesFromTree(initCStree, parts); } |
---|
1022 | else { GBSStep(CSNINITGBSORDER, h, nump, parts); } |
---|
1023 | if ( CStepCount > ord ) CStepInit = 2; |
---|
1024 | for ( p = 1; p <= nump; ++p ) { |
---|
1025 | for ( j = 1; j <= DIM; ++j ) { |
---|
1026 | df[p][j][0] += parts[p][j]; } } |
---|
1027 | } |
---|
1028 | else { |
---|
1029 | /* actual run */ |
---|
1030 | CSNerror = 0; |
---|
1031 | for ( p = 1; p <= nump; ++p ) { |
---|
1032 | for ( j = 1; j <= DIM; ++j ) { |
---|
1033 | /* formula: x(n+1) - x(n) = (x(n) - x(n-1)) + h^2*sum |
---|
1034 | with X(n) = x(n)-x(n-1) |
---|
1035 | X(n+1) = X(n) + h^2*sum |
---|
1036 | x(n+1) = X(N+1) + x(n) |
---|
1037 | X(n) is in a[0] |
---|
1038 | */ |
---|
1039 | a = df[p][j]; |
---|
1040 | asav = a[0]; |
---|
1041 | sum = sumfrombottom(a, ord, CSalpha); |
---|
1042 | sum *= h*h; |
---|
1043 | a[0] += sum; |
---|
1044 | parts[p][j] += a[0]; |
---|
1045 | /* vx = (1.0/h)*(x(n)-x(n-1)) + h*sum */ |
---|
1046 | sum = h*sumfrombottom(a, ord, CSbeta); |
---|
1047 | vx = asav/h + sum; |
---|
1048 | parts[p][DIM+j] = vx; |
---|
1049 | /* record error */ |
---|
1050 | tmp = fabs(CSalpha[ord]*a[ord]*h*h); |
---|
1051 | if ( CSNerror < tmp ) CSNerror = tmp; |
---|
1052 | } } } |
---|
1053 | PlainAccel(nump, parts); |
---|
1054 | for ( p = 1; p <= nump; ++p ) { |
---|
1055 | for ( j = 1; j <= DIM; ++j ) { |
---|
1056 | differencing(df[p][j], ord, parts[p][ACC+j]); |
---|
1057 | parts[p][ACC+j] = 0.0; |
---|
1058 | } } |
---|
1059 | ++CStepCount; |
---|
1060 | return 0; } |
---|
1061 | |
---|
1062 | |
---|
1063 | |
---|
1064 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1065 | BULIRSCH-STOER |
---|
1066 | actually, GRAGG-BULIRSCH-STOER, following Hairer et al., 1993 |
---|
1067 | */ |
---|
1068 | |
---|
1069 | /* Gragg's symmetric integrator, this is used to generate Tj,1 */ |
---|
1070 | int GStep(int nump, double parts DECLARR, double s DECLARR, double h, int len) { |
---|
1071 | int k, j, p, d, knext, kprev, m; |
---|
1072 | double dif, difsum, tmp1, astep; |
---|
1073 | static double y0 DECLARR; |
---|
1074 | static double y1 DECLARR; |
---|
1075 | /* save originial in y0 */ |
---|
1076 | for ( p = 1; p <= nump; ++p ) { |
---|
1077 | y0[p][GMASSCO] = parts[p][GMASSCO]; |
---|
1078 | for ( d = 1; d <= DIM; ++d ) { |
---|
1079 | y0[p][d] = parts[p][d]; |
---|
1080 | y0[p][d+DIM] = parts[p][d+DIM]; } } |
---|
1081 | /* consult Hairer et al. why we need this |
---|
1082 | in short: we need a method which has only even powers |
---|
1083 | of h in the expansion of its error, i.e., a symmetric method |
---|
1084 | */ |
---|
1085 | h = h/2.0; |
---|
1086 | PlainAccel(nump, y0); |
---|
1087 | for ( p = 1; p <= nump; ++p ) { |
---|
1088 | /* load masses into y1 */ |
---|
1089 | y1[p][GMASSCO] = y0[p][GMASSCO]; |
---|
1090 | for ( d = 1; d <= DIM; ++d ) { |
---|
1091 | y1[p][d] = y0[p][d]+h*y0[p][DIM+d]; |
---|
1092 | y1[p][d+DIM] = y0[p][d+DIM]+h*y0[p][ACC+d]; } } |
---|
1093 | /* compute y2 (m=1), y3' (m=2), y4 (m=3), y5' (m=4) y(2n+1)' (m=2*n) |
---|
1094 | n = len |
---|
1095 | */ |
---|
1096 | for ( m = 1; m <= 2*len; ++m ) { |
---|
1097 | if ( (m%2) ) { |
---|
1098 | for ( p = 1; p <= nump; ++p ) { |
---|
1099 | for ( d = 1; d <= DIM; ++d ) { |
---|
1100 | y1[p][d] = y0[p][d]+2.0*h*y1[p][d+DIM]; |
---|
1101 | s[p][d] = y1[p][d]; y0[p][d] = y1[p][d]; |
---|
1102 | } } } |
---|
1103 | else { |
---|
1104 | PlainAccel(nump, y1); |
---|
1105 | for ( p = 1; p <= nump; ++p ) { |
---|
1106 | for ( d = 1; d <= DIM; ++d ) { |
---|
1107 | y0[p][d+DIM] = y1[p][d+DIM]; |
---|
1108 | y1[p][d+DIM] = y0[p][d+DIM]+2.0*h*y1[p][ACC+d]; |
---|
1109 | s[p][d+DIM] = (y0[p][d+DIM]+y1[p][d+DIM])/2.0; |
---|
1110 | } } |
---|
1111 | } |
---|
1112 | } |
---|
1113 | return 0; } |
---|
1114 | |
---|
1115 | |
---|
1116 | int GBSStep(int bsord, double h, int nump, double parts DECLARR) { |
---|
1117 | int k, j, jfinal, p, d, jnext, jprev, len; |
---|
1118 | static double gbsarr DECLBS; |
---|
1119 | double dif, difsum, tmp1, astep; |
---|
1120 | int *n = extrapolseq; |
---|
1121 | static double s DECLARR; |
---|
1122 | /* for testing GStep |
---|
1123 | astep = h; len = 1; |
---|
1124 | GStep(nump, parts, s, astep, len); |
---|
1125 | for ( p = 1; p <= nump; ++p ) { |
---|
1126 | for ( d = 1; d <= 2*DIM; ++d ) { parts[p][d] = s[p][d]; } } |
---|
1127 | return 0; |
---|
1128 | */ |
---|
1129 | jfinal = bsord; |
---|
1130 | for ( j = 1; j <= bsord; ++j ) { |
---|
1131 | difsum = 0.0; |
---|
1132 | /* map j and j-1 to storage index */ |
---|
1133 | jnext = ((j)%2); |
---|
1134 | jprev = ((j-1)%2); |
---|
1135 | /* compute Tj,1 */ |
---|
1136 | len = n[j]; |
---|
1137 | astep = h/len; |
---|
1138 | GStep(nump, parts, s, astep, len); |
---|
1139 | for ( p = 1; p <= nump; ++p ) { |
---|
1140 | for ( d = 1; d <= 2*DIM; ++d ) { gbsarr[p][d][jnext][1] = s[p][d]; } } |
---|
1141 | /* compute Tj,k */ |
---|
1142 | for ( k = 1; k <= j-1; ++k ) { |
---|
1143 | /* Aitken-Neville for nonsymmetric underlying method */ |
---|
1144 | tmp1 = ((double) n[j])/((double) n[j-k]); |
---|
1145 | /* Aitken-Neville for symmetric underlying method (square of previous) */ |
---|
1146 | tmp1 = tmp1*tmp1; |
---|
1147 | for ( p = 1; p <= nump; ++p ) { |
---|
1148 | for ( d = 1; d <= 2*DIM; ++d ) { |
---|
1149 | dif = (gbsarr[p][d][jnext][k] - gbsarr[p][d][jprev][k]); |
---|
1150 | if ( k == j-1 ) difsum += fabs(dif); |
---|
1151 | gbsarr[p][d][jnext][k+1] = gbsarr[p][d][jnext][k] + dif/(tmp1-1.0); |
---|
1152 | } } |
---|
1153 | } |
---|
1154 | /* stop computing more is reached roundoff level */ |
---|
1155 | if ( j > 1 && difsum <= GBSTOL ) { jfinal = j; break; } |
---|
1156 | } |
---|
1157 | j = jfinal; k = j; jnext = ((j)%2); |
---|
1158 | for ( p = 1; p <= nump; ++p ) { |
---|
1159 | for ( d = 1; d <= 2*DIM; ++d ) { parts[p][d] = gbsarr[p][d][jnext][k]; } } |
---|
1160 | return 0; } |
---|
1161 | |
---|
1162 | |
---|
1163 | |
---|
1164 | |
---|
1165 | |
---|
1166 | |
---|
1167 | /* >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> |
---|
1168 | Actual HWH integration */ |
---|
1169 | int MoveCMandKepler(struct tree *tree, double *cmove, double stepsize, |
---|
1170 | double p DECLARR); |
---|
1171 | int KeplerOnTree(struct tree *tree, double stepsize, double p DECLARR); |
---|
1172 | int RecursivePerturbations(struct tree *tree, double stepsize, double p DECLARR); |
---|
1173 | int RecPertAcc(struct tree *tree, double stepsize, double p DECLARR); |
---|
1174 | |
---|
1175 | /* fourth order coeffs */ |
---|
1176 | static double Coeff4x0 = 0.0; |
---|
1177 | static double Coeff4x1 = 0.0; |
---|
1178 | |
---|
1179 | static int SympCalled = 0; |
---|
1180 | |
---|
1181 | void initSympCoefs() { |
---|
1182 | double cbrt2 = cbrt(2.0); |
---|
1183 | Coeff4x0 = -cbrt2/(2.0-cbrt2); |
---|
1184 | Coeff4x1 = 1.0/(2.0-cbrt2); |
---|
1185 | SympCalled = 1; } |
---|
1186 | |
---|
1187 | |
---|
1188 | static int HWHCalled = 0; |
---|
1189 | |
---|
1190 | // X |
---|
1191 | int HWHStep(int order, struct tree *tree, double stepsize, double p DECLARR) { |
---|
1192 | if ( SympCalled == 0 ) { |
---|
1193 | initSympCoefs(); |
---|
1194 | } |
---|
1195 | if ( HWHCalled == 0) { |
---|
1196 | // initialize tree |
---|
1197 | FillCMinTree(tree, p); |
---|
1198 | HWHCalled = 1; |
---|
1199 | } |
---|
1200 | if ( order == 1 ) { |
---|
1201 | KeplerOnTree(tree, stepsize, p); |
---|
1202 | RecursivePerturbations(tree, stepsize, p); |
---|
1203 | return 0; |
---|
1204 | } |
---|
1205 | if ( order == 2 ) { |
---|
1206 | KeplerOnTree(tree, stepsize/2.0, p); |
---|
1207 | RecursivePerturbations(tree, stepsize, p); |
---|
1208 | KeplerOnTree(tree, stepsize/2.0, p); |
---|
1209 | return 0; |
---|
1210 | } |
---|
1211 | if ( order == 4 ) { |
---|
1212 | HWHStep(2, tree, stepsize*Coeff4x1, p); |
---|
1213 | HWHStep(2, tree, stepsize*Coeff4x0, p); |
---|
1214 | HWHStep(2, tree, stepsize*Coeff4x1, p); |
---|
1215 | return 0; |
---|
1216 | } |
---|
1217 | printf(" Order %2d is not implemented, Aborted", order); |
---|
1218 | exit(1); |
---|
1219 | } |
---|
1220 | |
---|
1221 | |
---|
1222 | int SKPStep(int order, double stepsize, int nump, double p DECLARR) { |
---|
1223 | if ( SympCalled == 0 ) { initSympCoefs(); } |
---|
1224 | if ( order == 1 ) { |
---|
1225 | PlainSplitKineticStep(nump, stepsize, p); |
---|
1226 | PlainSplitPotentialStep(nump, stepsize, p); |
---|
1227 | return 0; } |
---|
1228 | if ( order == 2 ) { |
---|
1229 | PlainSplitKineticStep(nump, stepsize/2.0, p); |
---|
1230 | PlainSplitPotentialStep(nump, stepsize, p); |
---|
1231 | PlainSplitKineticStep(nump, stepsize/2.0, p); |
---|
1232 | return 0; } |
---|
1233 | if ( order == 4 ) { |
---|
1234 | SKPStep(2, stepsize*Coeff4x1, nump, p); |
---|
1235 | SKPStep(2, stepsize*Coeff4x0, nump, p); |
---|
1236 | SKPStep(2, stepsize*Coeff4x1, nump, p); |
---|
1237 | return 0; } |
---|
1238 | printf(" Order %2d is not implemented, Aborted", order); |
---|
1239 | exit(1); } |
---|
1240 | |
---|
1241 | |
---|
1242 | |
---|
1243 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1244 | / TREE |
---|
1245 | / |
---|
1246 | / |
---|
1247 | */ |
---|
1248 | |
---|
1249 | |
---|
1250 | int inittree(struct tree *tmp) { |
---|
1251 | int i; tmp->tmass = 0.0; tmp->particleindex = 0; |
---|
1252 | tmp->p1 = 0; tmp->p2 = 0; |
---|
1253 | tmp->testparticles = 0; tmp->rm1 = 0; tmp->rm2 = 0; |
---|
1254 | for ( i = 1; i <= DIM2; ++i ) { tmp->bc[i] = 0; } |
---|
1255 | for ( i = 1; i <= DIM; ++i ) { tmp->acc[i] = 0; } |
---|
1256 | return 0; } |
---|
1257 | |
---|
1258 | |
---|
1259 | struct tree *newtree() { |
---|
1260 | struct tree *tmp = (struct tree*) malloc(sizeof(struct tree)); |
---|
1261 | inittree(tmp); return tmp; } |
---|
1262 | |
---|
1263 | void deletetree(struct tree *p) { |
---|
1264 | if ( p->p1 ) deletetree(p->p1); |
---|
1265 | if ( p->p2 ) deletetree(p->p2); |
---|
1266 | free((void *) p); } |
---|
1267 | |
---|
1268 | |
---|
1269 | struct tree *MakeSimpleTree(int nump) { |
---|
1270 | int i; |
---|
1271 | struct tree *root; |
---|
1272 | struct tree *t1, *p1, *p2; |
---|
1273 | root = newtree(); |
---|
1274 | t1 = root; |
---|
1275 | for ( i = nump; i > 1; --i ) { |
---|
1276 | p1 = newtree(); |
---|
1277 | p2 = newtree(); |
---|
1278 | p1->particleindex = 0; |
---|
1279 | p2->particleindex = i; |
---|
1280 | t1->p1 = p1; t1->p2 = p2; |
---|
1281 | t1 = p1; } |
---|
1282 | t1->particleindex = 1; |
---|
1283 | return root; } |
---|
1284 | |
---|
1285 | int eatwhite(FILE *f) { |
---|
1286 | int c; |
---|
1287 | for ( ; ; ) { |
---|
1288 | c = getc(f); |
---|
1289 | if ( !isspace(c) ) break; |
---|
1290 | } |
---|
1291 | ungetc(c, f); |
---|
1292 | return c; |
---|
1293 | } |
---|
1294 | |
---|
1295 | |
---|
1296 | /* just an array to hold indeces read in, |
---|
1297 | portions of this are assigned to |
---|
1298 | tpa's below */ |
---|
1299 | int tmpReadList[MAXNBODIES+1000]; |
---|
1300 | /* bookkeeping */ |
---|
1301 | int freelist = 0; |
---|
1302 | |
---|
1303 | int *ReadList(FILE *f) { |
---|
1304 | int i1, i2; int c; int i; int *arr; |
---|
1305 | c = eatwhite(f); |
---|
1306 | if ( c != '[' ) { |
---|
1307 | printf(" Error: bad list, aborted \n"); exit(1); |
---|
1308 | } |
---|
1309 | c = getc(f); |
---|
1310 | fscanf(f, "%d - %d", &i1, &i2); |
---|
1311 | c = eatwhite(f); |
---|
1312 | if ( c != ']' ) { |
---|
1313 | printf(" Error: bad list, aborted \n"); exit(1); |
---|
1314 | } |
---|
1315 | c = getc(f); |
---|
1316 | arr = tmpReadList+freelist; |
---|
1317 | |
---|
1318 | /* put zero in tpstore */ |
---|
1319 | for ( i = i1; i <= i2; ++i ) tpstore[i] = TESTPARTICLE; |
---|
1320 | for ( i = i1; i <= i2; ++i ) arr[i-i1+1] = i; |
---|
1321 | |
---|
1322 | arr[0] = i2-i1+1; |
---|
1323 | freelist += i2-i1+2; |
---|
1324 | return arr; |
---|
1325 | } |
---|
1326 | |
---|
1327 | |
---|
1328 | |
---|
1329 | struct tree *MakeTree(FILE *f) { |
---|
1330 | int i; int c; int pind; int *tpa; |
---|
1331 | struct tree *root; |
---|
1332 | struct tree *p1, *p2; |
---|
1333 | c = eatwhite(f); |
---|
1334 | if ( c != '(' ) { |
---|
1335 | if ( isdigit(c) ) { |
---|
1336 | // single particle |
---|
1337 | fscanf(f,"%d", &pind); |
---|
1338 | root = newtree(); |
---|
1339 | root->particleindex = pind; |
---|
1340 | return root; |
---|
1341 | } |
---|
1342 | // set of test particles |
---|
1343 | tpa = ReadList(f); |
---|
1344 | root = newtree(); |
---|
1345 | root->particleindex = tpa[1]; |
---|
1346 | root->testparticles = tpa; |
---|
1347 | return root; |
---|
1348 | } |
---|
1349 | c = getc(f); |
---|
1350 | root = newtree(); |
---|
1351 | p1 = MakeTree(f); |
---|
1352 | p2 = MakeTree(f); |
---|
1353 | root->p1 = p1; root->p2 = p2; |
---|
1354 | root->particleindex = 0; |
---|
1355 | c = eatwhite(f); |
---|
1356 | |
---|
1357 | if ( c != ')' ) { |
---|
1358 | printf(" Error: bad tree, aborted \n"); exit(1); |
---|
1359 | } |
---|
1360 | c = getc(f); |
---|
1361 | return root; |
---|
1362 | } |
---|
1363 | |
---|
1364 | |
---|
1365 | |
---|
1366 | /* not used now but might come handy */ |
---|
1367 | struct tree *getparticleintree(struct tree *tree, int ind) { |
---|
1368 | struct tree *tmp; |
---|
1369 | if ( tree->particleindex ) { |
---|
1370 | if ( tree->particleindex == ind ) { return tree; } |
---|
1371 | return 0; } |
---|
1372 | tmp = getparticleintree(tree->p1, ind); |
---|
1373 | if ( tmp != 0 ) return tmp; |
---|
1374 | tmp = getparticleintree(tree->p2, ind); |
---|
1375 | if ( tmp != 0 ) return tmp; |
---|
1376 | return 0; } |
---|
1377 | |
---|
1378 | |
---|
1379 | /* not used now but might come handy */ |
---|
1380 | int **GetTestParticles(struct tree *tree, int ind) { |
---|
1381 | struct tree *tmp = getparticleintree(tree, ind); |
---|
1382 | if ( tmp == 0 ) return 0; |
---|
1383 | return &(tmp->testparticles); } |
---|
1384 | |
---|
1385 | |
---|
1386 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1387 | ACTUAL NUMERICAL STUFF ON TREE |
---|
1388 | */ |
---|
1389 | |
---|
1390 | // X fills in initial data: masses, mass ratios, barycenters |
---|
1391 | int FillCMinTree(struct tree *tree, double p DECLARR) { |
---|
1392 | int j; double *bc = tree->bc; |
---|
1393 | int i, ind, tp, num, *tpa = tree->testparticles; |
---|
1394 | |
---|
1395 | #pragma omp parallel for private(j) schedule(runtime) |
---|
1396 | for ( j = 1; j <= DIM; ++j ) |
---|
1397 | tree->acc[j] = 0.0; |
---|
1398 | |
---|
1399 | tree->tmass = 0.0; tree->rm1 = 0.0; tree->rm2 = 0.0; |
---|
1400 | #pragma omp parallel for private(j) schedule(runtime) |
---|
1401 | for ( j = 1; j <= DIM2; ++j ) |
---|
1402 | bc[j] = 0.0; |
---|
1403 | |
---|
1404 | ind = tree->particleindex; |
---|
1405 | if ( ind ) { |
---|
1406 | if ( tpa != 0 ) { |
---|
1407 | num = tpa[0]; |
---|
1408 | for ( tp = 1; tp <= num; ++tp ) { |
---|
1409 | ind = tpa[tp]; |
---|
1410 | if ( ind < 1 ) |
---|
1411 | continue; |
---|
1412 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1413 | for ( i = 1; i <= DIM; ++i ) |
---|
1414 | p[ind][ACC+i] = 0.0; |
---|
1415 | } |
---|
1416 | } |
---|
1417 | else { |
---|
1418 | tree->tmass = p[ind][GMASSCO]; |
---|
1419 | #pragma omp parallel for private(j) schedule(runtime) |
---|
1420 | for ( j = 1; j <= 2*DIM; ++j ) |
---|
1421 | bc[j] = p[ind][j]; |
---|
1422 | } |
---|
1423 | return 0; |
---|
1424 | } |
---|
1425 | FillCMinTree(tree->p1, p); |
---|
1426 | FillCMinTree(tree->p2, p); |
---|
1427 | tree->tmass = tree->p1->tmass + tree->p2->tmass; |
---|
1428 | tree->rm1 = (tree->p1->tmass)/(tree->tmass); |
---|
1429 | tree->rm2 = (tree->p2->tmass)/(tree->tmass); |
---|
1430 | |
---|
1431 | #pragma omp parallel for private(j) schedule(runtime) |
---|
1432 | for ( j = 1; j <= DIM2; ++j ) { |
---|
1433 | bc[j] = tree->p1->bc[j] * tree->rm1 + tree->p2->bc[j] * tree->rm2; |
---|
1434 | } |
---|
1435 | return 0; |
---|
1436 | } |
---|
1437 | |
---|
1438 | /* copy from tree into p */ |
---|
1439 | int ParticlesFromTree(struct tree *tree, double p DECLARR) { |
---|
1440 | int j; double *bc = tree->bc; |
---|
1441 | int i, ind, *tpa = tree->testparticles; |
---|
1442 | ind = tree->particleindex; |
---|
1443 | if ( ind ) { |
---|
1444 | if ( tpa == 0 ) { |
---|
1445 | tree->tmass = p[ind][GMASSCO]; |
---|
1446 | for ( j = 1; j <= DIM2; ++j ) p[ind][j] = bc[j]; } |
---|
1447 | return 0; } |
---|
1448 | ParticlesFromTree(tree->p1, p); |
---|
1449 | ParticlesFromTree(tree->p2, p); |
---|
1450 | return 0; } |
---|
1451 | |
---|
1452 | |
---|
1453 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1454 | KEPLER STEP ON TREE |
---|
1455 | */ |
---|
1456 | |
---|
1457 | /* computes Stumpff functions several ways, depending on x */ |
---|
1458 | int StumpffFunctions(double *vals, double x); |
---|
1459 | /* advances the Kepler motion 1/2*v^2 - mu/|x| for time deltat */ |
---|
1460 | double KeplerStumpffStep(int dim, double mu, double *xv, double deltat); |
---|
1461 | /* return only the increment in xv */ |
---|
1462 | double IncrementKeplerStumpffStep(int dim, double mu, double *xv, double deltat); |
---|
1463 | |
---|
1464 | // X NOTE: this does not CHANGE centers of masses |
---|
1465 | int KeplerOnTree(struct tree *tree, double stepsize, double p DECLARR) { |
---|
1466 | // move the center of mass |
---|
1467 | double cmove[10]; |
---|
1468 | int i; |
---|
1469 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1470 | for ( i = 1; i <= 2*DIM; ++i ) |
---|
1471 | cmove[i] = 0.0; |
---|
1472 | |
---|
1473 | // move by 1/2*(Tmass)*v^2 */ |
---|
1474 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1475 | for ( i = 1; i <= DIM; ++i ) |
---|
1476 | cmove[i] = (tree->bc[DIM+i])*stepsize; |
---|
1477 | |
---|
1478 | MoveCMandKepler(tree, cmove, stepsize, p); |
---|
1479 | return 0; |
---|
1480 | } |
---|
1481 | |
---|
1482 | |
---|
1483 | // X Assume that test particles are attached to 2nd |
---|
1484 | int DoTestPartKepler(struct tree *tree, double *cmove, double stepsize, double p DECLARR) { |
---|
1485 | int i, tp, num, *tpa, ind; |
---|
1486 | double mu, tmpkep[TMPSIZE], *bc; |
---|
1487 | tpa = tree->p2->testparticles; |
---|
1488 | num = tpa[0]; |
---|
1489 | if ( num > 0 ) { |
---|
1490 | bc = tree->p1->bc; |
---|
1491 | mu = tree->tmass; |
---|
1492 | for ( tp = 1; tp <= num; ++tp ) { |
---|
1493 | ind = tpa[tp]; |
---|
1494 | if ( ind < 1 ) continue; |
---|
1495 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1496 | for ( i = 1; i <= DIM2; ++i ) |
---|
1497 | tmpkep[i] = p[ind][i] - bc[i]; |
---|
1498 | IncrementKeplerStumpffStep(DIM, mu, tmpkep, stepsize); |
---|
1499 | for ( i = 1; i <= DIM2; ++i ) |
---|
1500 | p[ind][i] += (cmove[i]+tmpkep[i]); |
---|
1501 | } |
---|
1502 | } |
---|
1503 | return 0; |
---|
1504 | } |
---|
1505 | |
---|
1506 | // X move the center of mass and do a Kepler step on relative coordinates, transmit the new "moves" down |
---|
1507 | int MoveCMandKepler(struct tree *tree, double *cmove, double stepsize, double p DECLARR) { |
---|
1508 | int i, *tpa, ind; |
---|
1509 | double tmp[TMPSIZE], tmpkep[TMPSIZE], *xv1, *xv2, mu; |
---|
1510 | double *bc = tree->bc; |
---|
1511 | |
---|
1512 | for ( i = 1; i <= DIM2; ++i ) { |
---|
1513 | bc[i] += cmove[i]; |
---|
1514 | } |
---|
1515 | // do nothing else for actual particles |
---|
1516 | if ( tree->particleindex ) { |
---|
1517 | return 0; |
---|
1518 | } |
---|
1519 | if ( tree->p2->testparticles ) { |
---|
1520 | // this is a pair where p2 is an array of test particles |
---|
1521 | DoTestPartKepler(tree, cmove, stepsize, p); |
---|
1522 | MoveCMandKepler(tree->p1, cmove, stepsize, p); |
---|
1523 | return 0; |
---|
1524 | } |
---|
1525 | mu = tree->tmass; |
---|
1526 | xv1 = tree->p1->bc; |
---|
1527 | xv2 = tree->p2->bc; |
---|
1528 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1529 | for ( i = 1; i <= DIM2; ++i ) { |
---|
1530 | tmpkep[i] = xv2[i]-xv1[i]; |
---|
1531 | } |
---|
1532 | // do Kepler step on tmpkep, we get back the increment |
---|
1533 | IncrementKeplerStumpffStep(DIM, mu, tmpkep, stepsize); |
---|
1534 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1535 | // use only the relative change |
---|
1536 | for ( i = 1; i <= DIM2; ++i ) { |
---|
1537 | tmp[i] = cmove[i] - tmpkep[i]*(tree->rm2); |
---|
1538 | } |
---|
1539 | MoveCMandKepler(tree->p1, tmp, stepsize, p); |
---|
1540 | #pragma omp parallel for private(i) schedule(runtime) |
---|
1541 | for ( i = 1; i <= DIM2; ++i ) { |
---|
1542 | tmp[i] = cmove[i] + tmpkep[i]*(tree->rm1); |
---|
1543 | } |
---|
1544 | MoveCMandKepler(tree->p2, tmp, stepsize, p); |
---|
1545 | return 0; |
---|
1546 | } |
---|
1547 | |
---|
1548 | /* ++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1549 | PERTURBATION ACCELERATIONS |
---|
1550 | */ |
---|
1551 | |
---|
1552 | /* X simple acceleration */ |
---|
1553 | int Accel(double *x1, double *x2, double *acc) { |
---|
1554 | double tmp[10], r = 0.0; int i; |
---|
1555 | for ( i = 1; i <= DIM; ++i ) { |
---|
1556 | tmp[i] = x1[i]-x2[i]; |
---|
1557 | r = r + tmp[i]*tmp[i]; |
---|
1558 | } |
---|
1559 | r = sqrt(r); |
---|
1560 | r = r*r*r; |
---|
1561 | for ( i = 1; i <= DIM; ++i ) { |
---|
1562 | acc[i] = -tmp[i]/r; |
---|
1563 | } |
---|
1564 | return 0; |
---|
1565 | } |
---|
1566 | |
---|
1567 | int AdvanceTestParticleVel(struct tree *tree, double stepsize, double p DECLARR) { |
---|
1568 | int i, ind, tp, num, *tpa = tree->testparticles; |
---|
1569 | if ( tpa == 0 ) return 0; num = tpa[0]; |
---|
1570 | for ( tp = 1; tp <= num; ++tp ) { |
---|
1571 | ind = tpa[tp]; if ( ind < 1 ) continue; |
---|
1572 | for ( i = 1; i <= DIM; ++i ) { |
---|
1573 | p[ind][DIM+i] += stepsize*p[ind][ACC+i]; |
---|
1574 | p[ind][ACC+i] = 0.0; } |
---|
1575 | } |
---|
1576 | return 0; } |
---|
1577 | |
---|
1578 | |
---|
1579 | /* +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ |
---|
1580 | PERTURBATIONS ON TREE |
---|
1581 | */ |
---|
1582 | // X |
---|
1583 | int RecursivePerturbations(struct tree *tree, double stepsize, double p DECLARR) { |
---|
1584 | int j, ind; double *bc = tree->bc; |
---|
1585 | /* advance attached test particles |
---|
1586 | if ( tree->particleindex ) { |
---|
1587 | /* if particle we are ready to advance v */ |
---|
1588 | if ( tree->testparticles ) { |
---|
1589 | AdvanceTestParticleVel(tree, stepsize, p); |
---|
1590 | return 0; |
---|
1591 | } |
---|
1592 | // this is a nonzero mass actual particle, advance v |
---|
1593 | for ( j = 1; j <= DIM; ++j ) { |
---|
1594 | bc[DIM+j] += stepsize*tree->acc[j]; |
---|
1595 | tree->acc[j] = 0.0; |
---|
1596 | } |
---|
1597 | return 0; |
---|
1598 | |
---|
1599 | /* if not, first we take care of accs. for pairs with the two parts |
---|
1600 | IMPORTANT TO DO THIS FIRST |
---|
1601 | */ |
---|
1602 | RecPertAcc(tree, stepsize, p); |
---|
1603 | // now descend and do the same for both parts |
---|
1604 | RecursivePerturbations(tree->p2, stepsize, p); |
---|
1605 | RecursivePerturbations(tree->p1, stepsize, p); |
---|
1606 | /* now regenerate center of mass etc. */ |
---|
1607 | if ( tree->p2->testparticles ) { |
---|
1608 | #pragma omp parallel private(j) |
---|
1609 | #pragma omp for schedule(runtime) |
---|
1610 | for ( j = 1; j <= DIM2; ++j ) { |
---|
1611 | bc[j] = tree->p1->bc[j]; |
---|
1612 | } |
---|
1613 | return 0; |
---|
1614 | } |
---|
1615 | |
---|
1616 | #pragma omp parallel private(j) |
---|
1617 | #pragma omp for schedule(runtime) |
---|
1618 | for ( j = 1; j <= DIM2; ++j ) { |
---|
1619 | bc[j] = tree->p1->bc[j] * tree->rm1 + tree->p2->bc[j] * tree->rm2; |
---|
1620 | } |
---|
1621 | return 0; |
---|
1622 | } |
---|
1623 | |
---|
1624 | /* assume test particles in tree2 for dir > 1, reverse signs for dir < 0 */ |
---|
1625 | int TestParticleAcc(int dir, double *cacc, struct tree *tree1, struct tree *tree2, |
---|
1626 | double p DECLARR) { |
---|
1627 | int i, ind, tp, num, *tpa = tree2->testparticles; |
---|
1628 | double acc[TMPSIZE]; |
---|
1629 | double *bc = tree1->bc; |
---|
1630 | double tmp, gm1 = tree1->tmass; |
---|
1631 | num = tpa[0]; |
---|
1632 | for ( tp = 1; tp <= num; ++tp ) { |
---|
1633 | ind = tpa[tp]; if ( ind < 1 ) continue; |
---|
1634 | /* rewrite this to avoid bad numerical attitude */ |
---|
1635 | Accel(bc, &p[ind][0], acc); |
---|
1636 | for ( i = 1; i <= DIM; ++i ) { |
---|
1637 | /* since test particles are in 2nd */ |
---|
1638 | tmp = acc[i]-cacc[i]*dir; |
---|
1639 | p[ind][ACC+i] += -gm1*tmp; } |
---|
1640 | } |
---|
1641 | return 0; } |
---|
1642 | |
---|
1643 | |
---|
1644 | /* X c1 and c2 are for possible future use */ |
---|
1645 | int RecPertAccSub(struct tree *tree1, |
---|
1646 | struct tree *tree2, double *cacc, double *c1, double *c2, double p DECLARR) { |
---|
1647 | /* do the work if both are particles */ |
---|
1648 | int i, ind1, ind2; double acc[TMPSIZE]; |
---|
1649 | double tmp, gm1 = tree1->tmass, gm2 = tree2->tmass; |
---|
1650 | ind1 = tree1->particleindex; |
---|
1651 | ind2 = tree2->particleindex; |
---|
1652 | if ( ind1 && ind2 ) { |
---|
1653 | /* do nothing if both are test particle arrays */ |
---|
1654 | if ( tree1->testparticles && tree2->testparticles ) |
---|
1655 | return 0; |
---|
1656 | /* test particles first */ |
---|
1657 | if ( tree2->testparticles ) { |
---|
1658 | TestParticleAcc(1, cacc, tree1, tree2, p); |
---|
1659 | return 0; |
---|
1660 | } |
---|
1661 | if ( tree1->testparticles ) { |
---|
1662 | TestParticleAcc( -1, cacc, tree2, tree1, p); |
---|
1663 | return 0; |
---|
1664 | } |
---|
1665 | /* if actual particles with nonzero mass */ |
---|
1666 | Accel(tree1->bc, tree2->bc, acc); |
---|
1667 | for ( i = 1; i <= DIM; ++i ) { |
---|
1668 | /* rewrite this to avoid bad numerical attitude */ |
---|
1669 | tmp = acc[i]-cacc[i]; |
---|
1670 | tree1->acc[i] += gm2*tmp; |
---|
1671 | tree2->acc[i] += -gm1*tmp; |
---|
1672 | } |
---|
1673 | return 0; |
---|
1674 | } |
---|
1675 | /* if not, descend but only for one branch, the other is taken care in turn */ |
---|
1676 | if ( !ind1 ) { |
---|
1677 | RecPertAccSub(tree1->p2, tree2, cacc, c1, c2, p); |
---|
1678 | RecPertAccSub(tree1->p1, tree2, cacc, c1, c2, p); |
---|
1679 | return 0; |
---|
1680 | } |
---|
1681 | RecPertAccSub(tree1, tree2->p1, cacc, c1, c2, p); |
---|
1682 | RecPertAccSub(tree1, tree2->p2, cacc, c1, c2, p); |
---|
1683 | return 0; |
---|
1684 | } |
---|
1685 | |
---|
1686 | /* assume test particles in tree2 */ |
---|
1687 | int TestParticleAccSpec(double *cm, struct tree *tree1, struct tree *tree2, double p DECLARR) { |
---|
1688 | int i, ind, tp, num, *tpa = tree2->testparticles; |
---|
1689 | double acc[TMPSIZE], cacc[TMPSIZE]; |
---|
1690 | double *bc = tree1->bc; |
---|
1691 | double tmp, gm1 = tree1->tmass; |
---|
1692 | num = tpa[0]; |
---|
1693 | for ( tp = 1; tp <= num; ++tp ) { |
---|
1694 | ind = tpa[tp]; if ( ind < 1 ) continue; |
---|
1695 | /* rewrite this to avoid bad numerical attitude */ |
---|
1696 | Accel(bc, &p[ind][0], acc); |
---|
1697 | Accel(cm, &p[ind][0], cacc); |
---|
1698 | for ( i = 1; i <= DIM; ++i ) { |
---|
1699 | /* since test particles are in 2nd */ |
---|
1700 | tmp = acc[i]-cacc[i]; |
---|
1701 | p[ind][ACC+i] += -gm1*tmp; |
---|
1702 | } |
---|
1703 | } |
---|
1704 | return 0; |
---|
1705 | } |
---|
1706 | |
---|
1707 | |
---|
1708 | /* c1 and c2 are for possible future use */ |
---|
1709 | int RecPertAccSubTest(double *cm, struct tree *tree1, struct tree *tree2, double p DECLARR) { |
---|
1710 | int ind1; |
---|
1711 | ind1 = tree1->particleindex; |
---|
1712 | if ( ind1 ) { |
---|
1713 | /* do nothing if tree1 has only test particles */ |
---|
1714 | if ( tree1->testparticles ) |
---|
1715 | return 0; |
---|
1716 | TestParticleAccSpec(cm, tree1, tree2, p); |
---|
1717 | return 0; |
---|
1718 | } |
---|
1719 | /* if not, descend for both branches */ |
---|
1720 | RecPertAccSubTest(cm, tree1->p1, tree2, p); |
---|
1721 | RecPertAccSubTest(cm, tree1->p2, tree2, p); |
---|
1722 | return 0; |
---|
1723 | } |
---|
1724 | |
---|
1725 | |
---|
1726 | int RecPertAcc(struct tree *tree, double stepsize, double p DECLARR) { |
---|
1727 | double cacc[TMPSIZE]; |
---|
1728 | /* do nothing if all in p2 are attached to p1: pure Kepler motion */ |
---|
1729 | if ( tree->p1->particleindex && tree->p2->particleindex ) |
---|
1730 | return 0; |
---|
1731 | if ( tree->p2->testparticles == 0 ) { |
---|
1732 | /* actual nonzero masses in p2 */ |
---|
1733 | Accel(tree->p1->bc, tree->p2->bc, cacc); |
---|
1734 | |
---|
1735 | RecPertAccSub(tree->p1, tree->p2, cacc, tree->p1->bc, tree->p2->bc, p); |
---|
1736 | return 0; |
---|
1737 | } |
---|
1738 | /* test particles in p2 */ |
---|
1739 | RecPertAccSubTest(tree->p1->bc, tree->p1, tree->p2, p); |
---|
1740 | return 0; |
---|
1741 | } |
---|
1742 | |
---|
1743 | |
---|
1744 | |
---|
1745 | |
---|
1746 | /* |
---|
1747 | // =============================================================================== |
---|
1748 | // |
---|
1749 | // KEPLER MOTION USING STUMPFF FUCNTIONS |
---|
1750 | // FOLLOWING DANBY, 1992 |
---|
1751 | // (quartic Newtonian solver, Stumpff function definitions, |
---|
1752 | // f and g functions) |
---|
1753 | // see also: Stiefel and Sheifele, Linear and Regular |
---|
1754 | // Celestial Mechanics |
---|
1755 | // |
---|
1756 | // =============================================================================== |
---|
1757 | |
---|
1758 | // Stumpff functions (c0, c1, c2, c3) |
---|
1759 | */ |
---|
1760 | |
---|
1761 | /* CHANGE these numbers to tune accuracy */ |
---|
1762 | /* this one can be changed runtime */ |
---|
1763 | static double StumpffQSTol = KEPLERSOLVERTOLERANCE; |
---|
1764 | |
---|
1765 | /* the limit for which trig and hyp. trig functions are used */ |
---|
1766 | #define STUMPFFPLAINLIM (5.0) |
---|
1767 | /* reduction limit */ |
---|
1768 | #define STUMPFFRED (1.0/32.0) |
---|
1769 | #define STUMPFFSHORTTOL (1.0e-6) |
---|
1770 | |
---|
1771 | /* this one is not used now */ |
---|
1772 | static double StumpffSerTol = 1.0e-25; |
---|
1773 | |
---|
1774 | static int StumpffErrorCount = 0; |
---|
1775 | static int StumpffErrorCountLimit = 100; |
---|
1776 | |
---|
1777 | CheckStumpffErrorCount() { |
---|
1778 | ++StumpffErrorCount; |
---|
1779 | if ( StumpffErrorCount > StumpffErrorCountLimit ) { |
---|
1780 | fprintf(FLOG, "\n Too many errors, aborted \n"); |
---|
1781 | fflush(FLOG); |
---|
1782 | exit(1); |
---|
1783 | } |
---|
1784 | return 0; |
---|
1785 | } |
---|
1786 | |
---|
1787 | double util_fact(int k) { |
---|
1788 | int i; double fact = 1; |
---|
1789 | for ( i = 1; i <= k; ++i ) { |
---|
1790 | fact *= i; |
---|
1791 | } |
---|
1792 | return fact; |
---|
1793 | } |
---|
1794 | |
---|
1795 | /* |
---|
1796 | In case we need the coefficients, produced by Mathematica |
---|
1797 | static double c2_0 = 0.5; |
---|
1798 | static double c2_1 = -1.0/24; |
---|
1799 | static double c2_2 = 1.0/720; |
---|
1800 | static double c2_3 = -1.0/40320; |
---|
1801 | static double c2_4 = 1.0/3628800; |
---|
1802 | static double c2_5 = -1.0/479001600; |
---|
1803 | static double c2_6 = 1.0/87178291200; |
---|
1804 | static double c2_7 = -1.0/20922789888000; |
---|
1805 | static double c2_8 = 1.0/6402373705728000; |
---|
1806 | static double c2_9 = -1.0/2432902008176640000; |
---|
1807 | static double c2_10 = 1.0/1124000727777607680000; |
---|
1808 | |
---|
1809 | static double c3_0 = 1.0/6; |
---|
1810 | static double c3_1 = -1.0/120; |
---|
1811 | static double c3_2 = 1.0/5040; |
---|
1812 | static double c3_3 = -1.0/362880; |
---|
1813 | static double c3_4 = 1.0/39916800; |
---|
1814 | static double c3_5 = -1.0/6227020800; |
---|
1815 | static double c3_6 = 1.0/1307674368000; |
---|
1816 | static double c3_7 = -1.0/355687428096000; |
---|
1817 | static double c3_8 = 1.0/121645100408832000; |
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1818 | static double c3_9 = -1.0/51090942171709440000; |
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1819 | static double c3_10 = 1.0/25852016738884976640000; |
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1820 | */ |
---|
1821 | |
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1822 | |
---|
1823 | /* This is what is actually used, generated by factoring the coefficients */ |
---|
1824 | double HornerStumpff2(double x) { |
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1825 | return |
---|
1826 | (1.0 - x*(1 - x*(1 - x*(1 - x*(1 - x *(1 - x |
---|
1827 | /* up to degree 10, if you need it |
---|
1828 | *(1 - x*(1 - x*(1 - (1 - x/462)*x/380)/306)/240) */ |
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1829 | /182)/132)/90)/56)/30)/12)/2; |
---|
1830 | } |
---|
1831 | |
---|
1832 | double HornerStumpff3(double x) { |
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1833 | return |
---|
1834 | (1.0 - x*(1 - x*(1 - x*(1 - x*(1 - x*(1 - x |
---|
1835 | /* up to degree 10, if you need it |
---|
1836 | *(1 - x*(1 - x*(1 - (1 - x/506)*x/420)/342)/272) */ |
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1837 | /210)/156)/110)/72)/42)/20)/6; |
---|
1838 | } |
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1839 | |
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1840 | |
---|
1841 | /* first 4 terms, ie., up to x^3 */ |
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1842 | double Stumpff2Short(double x) { |
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1843 | return (1.0 - x*(1 - x*(1 - x/56)/30)/12)/2; |
---|
1844 | } |
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1845 | |
---|
1846 | double Stumpff3Short(double x) { |
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1847 | return (1.0 - x*(1 - x*(1 - x/72)/42)/20)/6; |
---|
1848 | } |
---|
1849 | |
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1850 | |
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1851 | |
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1852 | |
---|
1853 | // Original for reference |
---|
1854 | double StumpffSeriesCk(int k, double x) { |
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1855 | int i; |
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1856 | double term, sum = 0.0; |
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1857 | double terms[100], num; |
---|
1858 | term = 1.0; |
---|
1859 | for ( i = 1; i <= 50; ++i ) { |
---|
1860 | num = (k+2*i-1)*(k+2*i); |
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1861 | term = term*(-x/num); |
---|
1862 | terms[i] = term; |
---|
1863 | if ( fabs(term) < StumpffSerTol ) break; |
---|
1864 | } |
---|
1865 | for ( ; i > 0; --i ) sum += terms[i]; |
---|
1866 | sum = (1.0+sum)/util_fact(k); |
---|
1867 | return sum; } |
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1868 | |
---|
1869 | // X |
---|
1870 | int StumpffFunctions(double *c, double x) { |
---|
1871 | double x2, tmp; |
---|
1872 | int i; |
---|
1873 | /* What this is supposed to be |
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1874 | c[0] = StumpffSeriesCk(0, x); |
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1875 | c[1] = StumpffSeriesCk(1, x); |
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1876 | c[2] = StumpffSeriesCk(2, x); |
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1877 | c[3] = StumpffSeriesCk(3, x); |
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1878 | return 0; |
---|
1879 | */ |
---|
1880 | /* FOR REFERENCE, THIS COULD BE USED FOR LARGE VALUES, MAYBE |
---|
1881 | if ( x > STUMPFFPLAINLIM ) { |
---|
1882 | x2 = sqrt(x); |
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1883 | c[0] = cos(x2); |
---|
1884 | c[1] = sin(x2)/x2; |
---|
1885 | c[2] = (1.0-cos(x2))/x; |
---|
1886 | c[3] = (x2-sin(x2))/(x*x2); |
---|
1887 | return 0; } |
---|
1888 | if ( x < -STUMPFFPLAINLIM ) { |
---|
1889 | x2 = sqrt(-x); |
---|
1890 | c[0] = cosh(x2); |
---|
1891 | c[1] = sinh(x2)/x2; |
---|
1892 | c[2] = (cosh(x2)-1.0)/x; |
---|
1893 | c[3] = (sinh(x2)-x2)/(x*x2); |
---|
1894 | return 0; } |
---|
1895 | */ |
---|
1896 | if ( fabs(x) < STUMPFFSHORTTOL ) { |
---|
1897 | c[2] = Stumpff2Short(x); |
---|
1898 | c[3] = Stumpff3Short(x); |
---|
1899 | c[1] = 1.0 - x*c[3]; |
---|
1900 | c[0] = 1.0 - x*c[2]; |
---|
1901 | return 0; |
---|
1902 | } |
---|
1903 | if ( fabs(x) < STUMPFFRED ) { |
---|
1904 | c[2] = HornerStumpff2(x); |
---|
1905 | c[3] = HornerStumpff3(x); |
---|
1906 | c[1] = 1.0 - x*c[3]; |
---|
1907 | c[0] = 1.0 - x*c[2]; |
---|
1908 | return 0; |
---|
1909 | } |
---|
1910 | // reduce value to small |
---|
1911 | x2 = x; |
---|
1912 | for ( i = 1; i <= 20; ++i ) { |
---|
1913 | x2 = x2/4.0; |
---|
1914 | if ( fabs(x2) < STUMPFFRED ) |
---|
1915 | break; |
---|
1916 | } |
---|
1917 | if ( i > 20 ) { |
---|
1918 | fprintf(FLOG, "%s"," StumpfReduction No Good \n"); |
---|
1919 | CheckStumpffErrorCount(); |
---|
1920 | fflush(FLOG); |
---|
1921 | return 0; |
---|
1922 | } |
---|
1923 | /* original |
---|
1924 | c[2] = StumpffSeriesCk(2, x2); |
---|
1925 | c[3] = StumpffSeriesCk(3, x2); |
---|
1926 | */ |
---|
1927 | c[2] = HornerStumpff2(x2); |
---|
1928 | c[3] = HornerStumpff3(x2); |
---|
1929 | c[1] = 1.0 - x2*c[3]; |
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1930 | c[0] = 1.0 - x2*c[2]; |
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1931 | for ( ; i > 0; --i ) { |
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1932 | tmp = c[2]; |
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1933 | c[2] = (c[1]*c[1])/2.0; |
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1934 | c[3] = (tmp+c[0]*c[3])/4.0; |
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1935 | c[1] = c[0]*c[1]; |
---|
1936 | c[0] = (2.0*c[0]*c[0])-1.0; |
---|
1937 | } |
---|
1938 | return i; |
---|
1939 | } |
---|
1940 | |
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1941 | |
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1942 | /* =============================================================================== |
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1943 | */ |
---|
1944 | |
---|
1945 | /* NOTE: |
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1946 | It seems that there might be a systematic error here, not sure yet. |
---|
1947 | The Newton solvers tend to end up systematically on a preferred side |
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1948 | of the solution. E.g., for x^2: if starting from above the solution, |
---|
1949 | it ends at a slightly larger value than the solution. Starting from |
---|
1950 | below, in the first step it will get to the previous case. Since |
---|
1951 | the solution cannot be computed to machine precision, we could have |
---|
1952 | a systematic error. Since the orbit spends more time near apocenter |
---|
1953 | than near pericenter, this seems to lead an increase in energy and |
---|
1954 | decrease in angular momentum. Perhaps this could be randomized with |
---|
1955 | an additional bisection at the end? |
---|
1956 | */ |
---|
1957 | // X |
---|
1958 | double QuarticStumpffSolverIterator(double mu, double alpha, double s, |
---|
1959 | double r0, double u, double deltat) { |
---|
1960 | double c[5]; |
---|
1961 | double d0, d1, d2, d3, s2, ssav = s, tmp1, tmp2, tmp3; |
---|
1962 | double delta1, delta2, delta3; |
---|
1963 | int i; |
---|
1964 | for ( i = 1; i <= 20; ++i ) { |
---|
1965 | s2 = s*s; |
---|
1966 | StumpffFunctions(c, alpha*s2); |
---|
1967 | tmp1 = s*c[1]; |
---|
1968 | tmp2 = s2*c[2]; |
---|
1969 | tmp3 = -r0*alpha+mu; |
---|
1970 | d0 = u*tmp2+mu*s2*s*c[3]; |
---|
1971 | d0 += r0*tmp1; |
---|
1972 | d0 -= deltat; |
---|
1973 | d1 = u*tmp1+mu*tmp2; |
---|
1974 | d1 += r0*c[0]; |
---|
1975 | d2 = u*c[0]+tmp3*tmp1; |
---|
1976 | d3 = tmp3*c[0]-u*alpha*c[1]; |
---|
1977 | delta1 = -d0/d1; |
---|
1978 | delta2 = -d0/(d1+delta1*d2/2); |
---|
1979 | delta3 = -d0/(d1+delta1*d2/2+delta2*delta2*d3/6); |
---|
1980 | ssav= s; |
---|
1981 | s = s + delta3; |
---|
1982 | if ( fabs(delta3/s) < StumpffQSTol ) return s; |
---|
1983 | } |
---|
1984 | fprintf(FLOG, "%s"," QUARTIC STUMPFF SOLVER NOT CONVERGENT? \n"); |
---|
1985 | fprintf(FLOG, " s = %.16e \n", s); |
---|
1986 | fprintf(FLOG, "sprev = %.16e \n", ssav); |
---|
1987 | fprintf(FLOG, "delta3/s = %.16e \n", delta3/s); |
---|
1988 | fprintf(FLOG, "Stumpff x = %.16e \n", alpha*s2); |
---|
1989 | fprintf(FLOG, "deltas = %.16e ", delta1); fprintf(FLOG, "%.16e ", delta2); |
---|
1990 | fprintf(FLOG, "%.16e \n", delta3); |
---|
1991 | CheckStumpffErrorCount(); |
---|
1992 | fflush(FLOG); |
---|
1993 | return s; |
---|
1994 | } |
---|
1995 | |
---|
1996 | // X |
---|
1997 | double QuarticStumpffSolver(double mu, double alpha, double s, double r0, double u, double deltat) { |
---|
1998 | /* initial guess */ |
---|
1999 | double tmp = deltat/r0; |
---|
2000 | double s0 = tmp; |
---|
2001 | double r0dot = u/r0; |
---|
2002 | tmp = tmp*tmp; |
---|
2003 | s0 -= 0.5*r0dot*tmp; |
---|
2004 | /* third order in deltat */ |
---|
2005 | tmp = tmp*deltat/r0; |
---|
2006 | s0 += (0.5*r0dot*r0dot-1/6*(mu-alpha*r0)/r0)*tmp; |
---|
2007 | s = QuarticStumpffSolverIterator( mu, alpha, s0, r0, u, deltat); |
---|
2008 | return s; |
---|
2009 | } |
---|
2010 | |
---|
2011 | /* =============================================================================== |
---|
2012 | */ |
---|
2013 | // X |
---|
2014 | void IncfgAndDerivsStumpff(double *vals, double mu, double alpha, double s, |
---|
2015 | double r0, double u, double deltat) { |
---|
2016 | double r, s2, tmp1, tmp2, tmp3; |
---|
2017 | double c[5]; |
---|
2018 | s = QuarticStumpffSolver( mu, alpha, s, r0, u, deltat); |
---|
2019 | s2 = s*s; |
---|
2020 | StumpffFunctions(c, alpha*s2); |
---|
2021 | //recompute c[1] from angular mom. |
---|
2022 | tmp1 = s*c[1]; |
---|
2023 | tmp2 = s2*c[2]; |
---|
2024 | tmp3 = u*tmp1+mu*tmp2; |
---|
2025 | /* r */ |
---|
2026 | r = tmp3+(r0*c[0]); |
---|
2027 | vals[0] = r; |
---|
2028 | tmp3 = -mu*tmp2; |
---|
2029 | /* f */ |
---|
2030 | vals[1] = tmp3/r0; |
---|
2031 | /* g, this is usually bad in terms of roundoff */ |
---|
2032 | vals[2] = r0*tmp1+u*tmp2; |
---|
2033 | /* derivs */ |
---|
2034 | vals[3] = -(mu*tmp1)/(r0*r); |
---|
2035 | vals[4] = tmp3/r; |
---|
2036 | return; |
---|
2037 | } |
---|
2038 | |
---|
2039 | void fgAndDerivsStumpff(double *vals, double mu, double alpha, double s, |
---|
2040 | double r0, double u, double deltat) { |
---|
2041 | IncfgAndDerivsStumpff(vals, mu, alpha, s, r0, u, deltat); |
---|
2042 | vals[1] += 1.0; |
---|
2043 | vals[4] += 1.0; |
---|
2044 | return; } |
---|
2045 | |
---|
2046 | double KeplerStumpffStep(int dim, double mu, double *xv, double deltat) { |
---|
2047 | double fgvals[5], tmp; |
---|
2048 | double *x = xv; |
---|
2049 | double *v = xv+dim; |
---|
2050 | double v02 = 0.0, u = 0.0, r0 = 0.0; |
---|
2051 | double r0dot, alpha; |
---|
2052 | int i; |
---|
2053 | for ( i = 1; i <= dim; ++i ) { |
---|
2054 | v02 += v[i]*v[i]; |
---|
2055 | u += x[i]*v[i]; |
---|
2056 | r0 += x[i]*x[i]; } |
---|
2057 | r0 = sqrt(r0); |
---|
2058 | r0dot = u/r0; |
---|
2059 | /* a = 1.0/(2.0/r0 - v02/mu); alpha = mu/a; */ |
---|
2060 | alpha = 2.0*mu/r0 - v02; |
---|
2061 | fgAndDerivsStumpff(fgvals, mu, alpha, 0.0, r0, u, deltat); |
---|
2062 | /* now update */ |
---|
2063 | for ( i = 1; i <= dim; ++i ) { |
---|
2064 | tmp = x[i]; |
---|
2065 | x[i] = fgvals[1]*x[i]+fgvals[2]*v[i]; |
---|
2066 | v[i] = fgvals[3]*tmp+fgvals[4]*v[i]; } |
---|
2067 | return 0.0; } |
---|
2068 | |
---|
2069 | |
---|
2070 | // X return only the increment |
---|
2071 | double IncrementKeplerStumpffStep(int dim, double mu, double *xv, double deltat) { |
---|
2072 | double fg[5], tmp, tmp2; |
---|
2073 | double *x = xv; |
---|
2074 | double *v = xv+dim; |
---|
2075 | double alpha, v02 = 0.0, u = 0.0, r02 = 0.0, r0; |
---|
2076 | int i, ii; |
---|
2077 | double tmp1, r, delta1; |
---|
2078 | for ( i = 1; i <= dim; ++i ) { |
---|
2079 | v02 += v[i]*v[i]; |
---|
2080 | u += x[i]*v[i]; |
---|
2081 | r02 += x[i]*x[i]; |
---|
2082 | } |
---|
2083 | r0 = sqrt(r02); |
---|
2084 | /* a = 1.0/(2.0/r0 - v02/mu); alpha = mu/a; */ |
---|
2085 | alpha = 2.0*mu/r0 - v02; |
---|
2086 | IncfgAndDerivsStumpff(fg, mu, alpha, 0.0, r0, u, deltat); |
---|
2087 | |
---|
2088 | // using fg'-gf' = 1 ( ' = dot) or total energy do not help much |
---|
2089 | |
---|
2090 | // now update |
---|
2091 | for ( i = 1; i <= dim; ++i ) { |
---|
2092 | tmp = x[i]; |
---|
2093 | x[i] = fg[1]*x[i]+fg[2]*v[i]; |
---|
2094 | v[i] = fg[3]*tmp+fg[4]*v[i]; |
---|
2095 | } |
---|
2096 | return 0.0; |
---|
2097 | } |
---|
2098 | |
---|
2099 | /* FOR TEST |
---|
2100 | double IncrementKeplerStumpffStep(int dim, double mu, double *xv, double deltat) { |
---|
2101 | double tmp[7], tmp2[7]; |
---|
2102 | int i; |
---|
2103 | for ( i = 1; i <= 2*dim; ++i ) { tmp[i] = tmp2[i] = xv[i]; } |
---|
2104 | IncrementKeplerStumpffStepSub(dim, mu, tmp, deltat); |
---|
2105 | for ( i = 1; i <= 2*dim; ++i ) tmp2[i] += tmp[i]; |
---|
2106 | IncrementKeplerStumpffStepSub(dim, mu, tmp2, -deltat); |
---|
2107 | for ( i = 1; i <= 2*dim; ++i ) xv[i] = (tmp[i]-tmp2[i])/2.0; |
---|
2108 | return 0.0; } |
---|
2109 | */ |
---|
2110 | |
---|
2111 | |
---|
2112 | |
---|
2113 | |
---|