def run_trap_task(sensor_id):
"""Run the traps analysis for a single sensor."""
import lsst.eotest.sensor as sensorTest
import siteUtils
import eotestUtils
trap_file = siteUtils.dependency_glob(
'S*/%s_trap_ppump_*.fits' % sensor_id,
jobname=siteUtils.getProcessName('ppump_raft_acq'),
description='Trap file:')[0]
mask_files = \
eotestUtils.glob_mask_files(pattern='%s_*mask.fits' % sensor_id)
# Omit rolloff defects mask since a trap in the rolloff edge region can
# affect the entire column.
bias_frame = siteUtils.dependency_glob('%s_sflat*median_bias.fits' %
sensor_id,
description='Super bias frame:')[0]
mask_files = [
item for item in mask_files if item.find('rolloff_defects') == -1
]
print("Using mask files:")
for mask_file in mask_files:
print(" " + mask_file)
gains = eotestUtils.getSensorGains(jobname='fe55_raft_analysis',
sensor_id=sensor_id)
task = sensorTest.TrapTask()
task.run(sensor_id, trap_file, mask_files, gains, bias_frame=bias_frame)
def traps_task(run, det_name, trap_file, gains, mask_files=(), bias_frame=None):
"""Single sensor execution of the traps analysis task."""
file_prefix = make_file_prefix(run, det_name)
task = sensorTest.TrapTask()
task.run(file_prefix, trap_file, mask_files, gains, bias_frame=bias_frame,
linearity_correction=get_nlc_func(det_name))
#!/usr/bin/env python
import lsst.eotest.sensor as sensorTest
import siteUtils
import eotestUtils
siteUtils.aggregate_job_ids()
sensor_id = siteUtils.getUnitId()
trap_file = siteUtils.dependency_glob(
'*_trap_ppump_*.fits',
jobname=siteUtils.getProcessName('ppump_acq'),
description='Trap file:')[0]
mask_files = eotestUtils.glob_mask_files()
# Omit rolloff defects mask since a trap in the rolloff edge region can
# affect the entire column.
mask_files = [
item for item in mask_files if item.find('rolloff_defects') == -1
]
print("Using mask files:")
for mask_file in mask_files:
print(" " + mask_file)
gains = eotestUtils.getSensorGains()
task = sensorTest.TrapTask()
task.run(sensor_id, trap_file, mask_files, gains)