diff options
| -rwxr-xr-x | ciao_calc_bkg.py | 44 |
1 files changed, 24 insertions, 20 deletions
diff --git a/ciao_calc_bkg.py b/ciao_calc_bkg.py index cf5fdb5..be1bbc0 100755 --- a/ciao_calc_bkg.py +++ b/ciao_calc_bkg.py @@ -42,7 +42,7 @@ def parse_erange(erange): def calc_exp(expmap, regfile): """ Calculate the area of the background spectrum extraction region, - and the mean exposure (used as the MEAN_SRC_EXPOSURE) of that region. + and the mean exposure (un-normalized w.r.t exposure time) of that region. """ tf = tempfile.NamedTemporaryFile() cmd_args = [ @@ -96,9 +96,9 @@ def main(): parser = argparse.ArgumentParser( description="Calculate the background surface brightness") parser.add_argument("-b", "--orig-bkg", dest="orig_bkg", required=True, - help="original/uncorrected background spectrum " + - "(e.g., blanksky_lbkg.pi), from which to get the " + - "original EXPOSURE and BACKSCAL, etc.") + help="original/uncorrected local background " + + "spectrum (e.g., lbkg.pi), from which to get the " + + "original/source EXPOSURE and BACKSCAL, etc.") parser.add_argument("-B", "--corr-bkg", dest="corr_bkg", required=True, help="corrected background spectrum for the " + "Galactic and cosmic background radiations " + @@ -121,27 +121,31 @@ def main(): corr_bkg_results = calc_spec_counts(args.corr_bkg, erange=(e_low, e_high)) exp_results = calc_exp(args.expmap, regfile=args.bkg_region) - counts = corr_bkg_results["counts"] - exposure = corr_bkg_results["exposure"] - backscal = corr_bkg_results["backscal"] + corr_counts = corr_bkg_results["counts"] + corr_exposure = corr_bkg_results["exposure"] + corr_backscal = corr_bkg_results["backscal"] + orig_exposure = orig_bkg_results["exposure"] orig_backscal = orig_bkg_results["backscal"] + area = exp_results["area"] mean_exp = exp_results["mean_exp"] - bkg_sb = counts / exposure / mean_exp / backscal * orig_backscal + bkg_sb = corr_counts / corr_exposure / (mean_exp / orig_exposure) \ + / (area * corr_backscal / orig_backscal) results = OrderedDict([ - ("energy_low", e_low), - ("energy_high", e_high), - ("channel_low", corr_bkg_results["channel_low"]), - ("channel_high", corr_bkg_results["channel_high"]), - ("counts", counts), - ("exposure", exposure), - ("backscal", backscal), - ("total_exp", exp_results["total_exp"]), + ("energy_low", e_low), + ("energy_high", e_high), + ("channel_low", corr_bkg_results["channel_low"]), + ("channel_high", corr_bkg_results["channel_high"]), + ("counts", corr_counts), + ("exposure", orig_exposure), + ("exposure_bkg", corr_exposure), + ("backscal", corr_backscal), + ("total_exp", exp_results["total_exp"]), ("total_exp_err", exp_results["total_exp_err"]), - ("area", exp_results["area"]), - ("mean_exp", exp_results["mean_exp"]), - ("mean_exp_err", exp_results["mean_exp_err"]), - ("bkg_sb", bkg_sb), + ("area", exp_results["area"]), + ("mean_exp", exp_results["mean_exp"]), + ("mean_exp_err", exp_results["mean_exp_err"]), + ("bkg_sb", bkg_sb), ]) results_json = json.dumps(results, indent=2) print(results_json) |