-
Notifications
You must be signed in to change notification settings - Fork 22
Expand file tree
/
Copy pathrenew_puncture_parameter.py
More file actions
executable file
·133 lines (100 loc) · 6.82 KB
/
renew_puncture_parameter.py
File metadata and controls
executable file
·133 lines (100 loc) · 6.82 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
##################################################################
##
## Update puncture parameters from TwoPuncture output
## Author: Xiaoqu
## 2024/12/04
##
##################################################################
import AMSS_NCKU_Input as input_data
import numpy
import os
##################################################################
##################################################################
def read_TwoPuncture_Output(Output_File_directory):
dimensionless_mass_BH = numpy.zeros( input_data.puncture_number )
bare_mass_BH = numpy.zeros( input_data.puncture_number ) ## initialize bare mass for each black hole
position_BH = numpy.zeros( (input_data.puncture_number, 3) ) ## initialize initial position for each black hole
momentum_BH = numpy.zeros( (input_data.puncture_number, 3) ) ## initialize momentum for each black hole
angular_momentum_BH = numpy.zeros( (input_data.puncture_number, 3) ) ## initialize spin angular momentum for each black hole
# Read TwoPuncture output file
data = numpy.loadtxt( os.path.join(Output_File_directory, "puncture_parameters_new.txt") )
# Ensure data is parsed as a 1-D array
data = data.reshape(-1)
for i in range(input_data.puncture_number):
## Read parameters for the first two punctures from TwoPuncture output
## For additional punctures, read parameters from the input file
if i<2:
bare_mass_BH[i] = data[12*i]
dimensionless_mass_BH[i] = data[12*i+1]
position_BH[i] = [ data[12*i+3], data[12*i+4], data[12*i+5] ]
momentum_BH[i] = [ data[12*i+6], data[12*i+7], data[12*i+8] ]
angular_momentum_BH[i] = [ data[12*i+9], data[12*i+10], data[12*i+11] ]
else:
dimensionless_mass_BH[i] = input_data.parameter_BH[i,0]
bare_mass_BH[i] = input_data.parameter_BH[i,0]
position_BH[i] = input_data.position_BH[i]
momentum_BH[i] = input_data.momentum_BH[i]
## Read angular momentum according to symmetry
if ( input_data.Symmetry == "equatorial-symmetry" ):
angular_momentum_BH[i] = [ 0.0, 0.0, (input_data.parameter_BH[i,0]**2) * input_data.parameter_BH[i,2] ]
elif ( input_data.Symmetry == "no-symmetry" ):
angular_momentum_BH[i] = (dimensionless_mass_BH[i]**2) * input_data.dimensionless_spin_BH[i]
return bare_mass_BH, dimensionless_mass_BH, position_BH, momentum_BH, angular_momentum_BH
##################################################################
##################################################################
## Append the computed puncture information into the AMSS-NCKU input file
def append_AMSSNCKU_BSSN_input(File_directory, TwoPuncture_File_directory):
charge_Q_BH = numpy.zeros( input_data.puncture_number ) ## initialize charge for each black hole
## If using Ansorg-TwoPuncture to solve the initial-data problem, read
## bare masses, positions and angular momenta from TwoPuncture output
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
bare_mass_BH, dimensionless_mass_BH, position_BH, momentum_BH, angular_momentum_BH = read_TwoPuncture_Output(TwoPuncture_File_directory)
# set charge for each black hole
for i in range(input_data.puncture_number):
charge_Q_BH[i] = dimensionless_mass_BH[i] * input_data.parameter_BH[i,1]
## If using another method for initial data, read parameters directly from input
else:
position_BH = input_data.position_BH
momentum_BH = input_data.momentum_BH
## angular_momentum_BH = input_data.angular_momentum_BH
angular_momentum_BH = numpy.zeros( (input_data.puncture_number, 3) ) ## initialize spin angular momentum array
mass_BH = numpy.zeros( input_data.puncture_number ) ## initialize mass array
## Set charge and spin angular momentum for each puncture
for i in range(input_data.puncture_number):
if ( input_data.Symmetry == "octant-symmetry" ):
mass_BH[i] = input_data.parameter_BH[i,0]
charge_Q_BH[i] = mass_BH[i]* input_data.parameter_BH[i,1]
angular_momentum_BH[i] = [ 0.0, 0.0, (mass_BH[i]**2) * input_data.parameter_BH[i,2] ]
elif ( input_data.Symmetry == "equatorial-symmetry" ):
mass_BH[i] = input_data.parameter_BH[i,0]
charge_Q_BH[i] = mass_BH[i]* input_data.parameter_BH[i,1]
angular_momentum_BH[i] = [ 0.0, 0.0, (mass_BH[i]**2) * input_data.parameter_BH[i,2] ]
elif ( input_data.Symmetry == "no-symmetry" ):
mass_BH[i] = input_data.parameter_BH[i,0]
angular_momentum_BH[i] = (mass_BH[i]**2) * input_data.dimensionless_spin_BH[i]
charge_Q_BH[i] = mass_BH[i] * input_data.parameter_BH[i,1]
file1 = open( os.path.join(input_data.File_directory, "AMSS-NCKU.input"), "a") ## open file in append mode
## Output BSSN related settings
print( file=file1 )
print( "BSSN::chitiny = 1e-5", file=file1 )
print( "BSSN::time refinement start from level = ", input_data.refinement_level, file=file1 )
print( "BSSN::BH_num = ", input_data.puncture_number, file=file1 )
for i in range(input_data.puncture_number):
if (input_data.Initial_Data_Method == "Ansorg-TwoPuncture" ):
print( f"BSSN::Mass[{i}] = { bare_mass_BH[i] } ", file=file1 )
else:
print( f"BSSN::Mass[{i}] = { mass_BH[i] } ", file=file1 )
print( f"BSSN::Qchar[{i}] = { charge_Q_BH[i] } ", file=file1 )
print( f"BSSN::Porgx[{i}] = { position_BH[i,0] } ", file=file1 )
print( f"BSSN::Porgy[{i}] = { position_BH[i,1] } ", file=file1 )
print( f"BSSN::Porgz[{i}] = { position_BH[i,2] } ", file=file1 )
print( f"BSSN::Pmomx[{i}] = { momentum_BH[i,0] } ", file=file1 )
print( f"BSSN::Pmomy[{i}] = { momentum_BH[i,1] } ", file=file1 )
print( f"BSSN::Pmomz[{i}] = { momentum_BH[i,2] } ", file=file1 )
print( f"BSSN::Spinx[{i}] = { angular_momentum_BH[i,0] } ", file=file1 )
print( f"BSSN::Spiny[{i}] = { angular_momentum_BH[i,1] } ", file=file1 )
print( f"BSSN::Spinz[{i}] = { angular_momentum_BH[i,2] } ", file=file1 )
print( file=file1 )
file1.close()
return
#################################################