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do_bkg_estimation.py
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do_bkg_estimation.py
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import numpy as np
from astropy.io import fits
import os
import argparse
import logging, traceback
from bkg_rate_estimation import get_avg_lin_cub_rate_quad_obs
from config import quad_dicts, EBINS0, EBINS1
from sqlite_funcs import write_rate_fits_from_obj, get_conn
from dbread_funcs import get_info_tab, guess_dbfname, get_files_tab
from event2dpi_funcs import filter_evdata
def cli():
parser = argparse.ArgumentParser()
parser.add_argument('--evfname', type=str,\
help="Event data file",
default=None)
parser.add_argument('--dmask', type=str,\
help="Detmask fname",
default=None)
parser.add_argument('--dbfname', type=str,\
help="Name to save the database to",\
default=None)
parser.add_argument('--twind', type=float,\
help="Number of seconds to go +/- from the trigtime",\
default=15)
args = parser.parse_args()
return args
def main(args):
logging.basicConfig(filename='bkg_rate_estimation.log', level=logging.DEBUG,\
format='%(asctime)s-' '%(levelname)s- %(message)s')
if args.dbfname is None:
db_fname = guess_dbfname()
if isinstance(db_fname, list):
db_fname = db_fname[0]
else:
db_fname = args.dbfname
logging.info('Connecting to DB')
conn = get_conn(db_fname)
info_tab = get_info_tab(conn)
logging.info('Got info table')
files_tab = get_files_tab(conn)
logging.info('Got files table')
trigtime = info_tab['trigtimeMET'][0]
evfname = files_tab['evfname'][0]
dmfname = files_tab['detmask'][0]
ev_data = fits.open(evfname)[1].data
dmask = fits.open(dmfname)[0].data
tmin = trigtime - 100.
tmax = trigtime + 100.
# logging.info('Filtering Event Data')
# evdata = filter_evdata(evdata0, dmask, ebins0[0], ebins1[-1], tmin, tmax)
logging.debug('Opened up event and detmask files')
ebins0 = np.array(EBINS0)
ebins1 = np.array(EBINS1)
logging.debug("ebins0")
logging.debug(ebins0)
logging.debug("ebins1")
logging.debug(ebins1)
logging.info("Getting rate objects for each quad")
avg_quad_obj, lin_quad_obj, cub_quad_obj =\
get_avg_lin_cub_rate_quad_obs(quad_dicts, ev_data,\
trigtime, ebins0, ebins1,\
poly_trng=args.twind,
trng=args.twind+45)
logging.info("Now writing rate fit results to DB")
for k, obj in avg_quad_obj.iteritems():
write_rate_fits_from_obj(conn, obj, quad_dicts[k]['id'])
for k, obj in lin_quad_obj.iteritems():
write_rate_fits_from_obj(conn, obj, quad_dicts[k]['id'])
if __name__ == "__main__":
args = cli()
main(args)