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authorAaron LI <aaronly.me@outlook.com>2017-02-21 23:03:49 +0800
committerAaron LI <aaronly.me@outlook.com>2017-02-21 23:03:49 +0800
commitd813448c1b9a16d58c8d24d27267893b39c4b908 (patch)
tree4ce609826dd623aab7d5860ac1b6379e0e1535a9 /bin
parentcbfb8655b926be62e5e193255ca879d3d894951e (diff)
downloadchandra-acis-analysis-d813448c1b9a16d58c8d24d27267893b39c4b908.tar.bz2
Add calc_coolfunc_profile.py: calculate cooling function proifle
Calculate cooling function profile w.r.t. temperature profile by interpolating previously calculated cooling function table. This tool replaces the 'calc_coolfunc.sh' and 'calc_coolfunc_bands.sh'
Diffstat (limited to 'bin')
-rwxr-xr-xbin/calc_coolfunc_profile.py67
1 files changed, 67 insertions, 0 deletions
diff --git a/bin/calc_coolfunc_profile.py b/bin/calc_coolfunc_profile.py
new file mode 100755
index 0000000..636bcef
--- /dev/null
+++ b/bin/calc_coolfunc_profile.py
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+#!/usr/bin/env python3
+#
+# Copyright (c) 2017 Weitian LI <liweitianux@live.com>
+# MIT license
+
+"""
+Calculate the cooling function profile with respect to the input
+temperature profile by interpolating the previously calculated
+cooling function table.
+
+In this way, the cooling function profile can be calculated very
+quickly, allowing much more iterations for the later Monte Carlo
+calculations.
+"""
+
+import os
+import sys
+import argparse
+
+import numpy as np
+import scipy.interpolate as interpolate
+
+
+def interpolate_cf(table, logy=True):
+ temp, cf = table[:, 0], table[:, 1]
+ if logy:
+ cf = np.log10(cf)
+ print("Interpolating cooling function table ...", file=sys.stderr)
+ interp = interpolate.interp1d(temp, cf, kind="linear")
+ return interp
+
+
+def calc_cf_profile(tprofile, interp, logy=True):
+ radius, temp = tprofile[:, 0], tprofile[:, 1]
+ cf = interp(temp)
+ if logy:
+ cf = 10 ** cf
+ cfprofile = np.column_stack([radius, cf])
+ return cfprofile
+
+
+def main():
+ parser = argparse.ArgumentParser(
+ description="Calculate cooling function profile by interpolations")
+ parser.add_argument("-t", "--table", dest="table", required=True,
+ help="previously calculated cooling function table")
+ parser.add_argument("-T", "--tprofile", dest="tprofile", required=True,
+ help="temperature profile " +
+ "(2-column: radius temperature)")
+ parser.add_argument("-o", "--outfile", dest="outfile", required=True,
+ help="output cooling function profile")
+ parser.add_argument("-C", "--clobber", dest="clobber", action="store_true",
+ help="overwrite existing files")
+ args = parser.parse_args()
+
+ if (not args.clobber) and os.path.exists(args.outfile):
+ raise OSError("Output file already exists: %s" % args.outfile)
+
+ table = np.loadtxt(args.table)
+ tprofile = np.loadtxt(args.tprofile)
+ cf_interp = interpolate_cf(table)
+ cf_profile = calc_cf_profile(tprofile, cf_interp)
+ np.savetxt(args.outfile, cf_profile)
+
+
+if __name__ == "__main__":
+ main()