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author | Aaron LI <aaronly.me@outlook.com> | 2017-02-21 22:14:49 +0800 |
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committer | Aaron LI <aaronly.me@outlook.com> | 2017-02-21 22:14:49 +0800 |
commit | cbfb8655b926be62e5e193255ca879d3d894951e (patch) | |
tree | af51d3dec8d2af98ef12a758ecfd4d5047a5ec5b /bin/fg_2500_500.py | |
parent | f50d166f80adcfaaa30a62c1e0b25bfc9d76a2a4 (diff) | |
download | chandra-acis-analysis-cbfb8655b926be62e5e193255ca879d3d894951e.tar.bz2 |
Add calc_coolfunc_table.py: to speed up the repeated CF calculations
Calculate the cooling function table with respect to the specified
temperature range, using the XSPEC model 'wabs*apec' with the
provided arguments.
Later, the cooling function profile w.r.t. a temperature profile
can be quickly derived by interpolating this cooling function table.
Diffstat (limited to 'bin/fg_2500_500.py')
0 files changed, 0 insertions, 0 deletions