def run(self, rinput):
_logger.info('starting bias reduction')
iinfo = gather_info_frames(rinput.obresult.frames)
if iinfo:
mode = iinfo[0]['readmode']
if mode.lower() not in EMIR_BIAS_MODES:
msg = 'readmode %s, is not a bias mode' % mode
_logger.error(msg)
raise RecipeError(msg)
flow = lambda x: x
hdulist = basic_processing_with_combination(rinput,
flow,
method=median,
errors=False)
pdata = hdulist[0].data
# update hdu header with
# reduction keywords
hdr = hdulist[0].header
self.set_base_headers(hdr)
hdr['CCDMEAN'] = pdata.mean()
_logger.info('bias reduction ended')
result = self.create_result(biasframe=DataFrame(hdulist))
return result
def run(self, rinput):
_logger.info('starting dark reduction')
flow = self.init_filters(rinput)
iinfo = gather_info_frames(rinput.obresult.frames)
ref_exptime = 0.0
for el in iinfo[1:]:
if abs(el['texp'] - ref_exptime) > 1e-4:
_logger.error('image with wrong exposure time')
raise RecipeError('image with wrong exposure time')
hdulist = basic_processing_with_combination(rinput,
flow,
method=median,
errors=True)
pdata = hdulist[0].data
# update hdu header with
# reduction keywords
hdr = hdulist[0].header
self.set_base_headers(hdr)
hdr['CCDMEAN'] = pdata.mean()
_logger.info('dark reduction ended')
result = self.create_result(darkframe=hdulist)
return result
def run(self, rinput):
_logger.info('starting bias reduction')
iinfo = gather_info_frames(rinput.obresult.frames)
if iinfo:
mode = iinfo[0]['readmode']
if mode.lower() not in EMIR_BIAS_MODES:
msg = 'readmode %s, is not a bias mode' % mode
_logger.error(msg)
raise RecipeError(msg)
flow = lambda x: x
hdulist = basic_processing_with_combination(rinput, flow,
method=median,
errors=False)
pdata = hdulist[0].data
# update hdu header with
# reduction keywords
hdr = hdulist[0].header
self.set_base_headers(hdr)
hdr['CCDMEAN'] = pdata.mean()
_logger.info('bias reduction ended')
result = self.create_result(biasframe=DataFrame(hdulist))
return result
def run(self, rinput):
_logger.info('starting dark reduction')
flow = self.init_filters(rinput)
iinfo = gather_info_frames(rinput.obresult.frames)
ref_exptime = 0.0
for el in iinfo[1:]:
if abs(el['texp'] - ref_exptime) > 1e-4:
_logger.error('image with wrong exposure time')
raise RecipeError('image with wrong exposure time')
hdulist = basic_processing_with_combination(rinput, flow,
method=median,
errors=True)
pdata = hdulist[0].data
# update hdu header with
# reduction keywords
hdr = hdulist[0].header
self.set_base_headers(hdr)
hdr['CCDMEAN'] = pdata.mean()
_logger.info('dark reduction ended')
result = self.create_result(darkframe=hdulist)
return result
def run(self, rinput):
results = []
self.logger.info('starting multiflat flat reduction')
# Uncomment this line
# to revert to non-ramp
# flow = self.init_filters(rinput)
saturation = 45000.0
iinfo = gather_info_frames(rinput.obresult.frames)
image_groups = {}
self.logger.info('group images by filter')
for idx, info in enumerate(iinfo):
filt = info['filter']
if filt not in image_groups:
self.logger.debug('new filter %s', filt)
image_groups[filt] = []
img = rinput.obresult.frames[idx]
self.logger.debug('image %s in group %s', img, filt)
image_groups[filt].append(img)
for filt, frames in image_groups.items():
self.logger.info('processing filter %s', filt)
# Uncomment this line and comment the following
# to revert to non-ramp
# res = self.run_per_filter(frames, flow)
try:
res = self.run_per_filter_ramp(frames, saturation=saturation)
results.append(res)
except ValueError:
self.logger.info('filter %s cannot be processed', filt)
self.logger.info('end multiflat flat reduction')
result = self.create_result(twflatframes=results)
return result
def run(self, rinput):
results = []
self.logger.info('starting multiflat flat reduction')
# Uncomment this line
# to revert to non-ramp
# flow = self.init_filters(rinput)
saturation = 45000.0
iinfo = gather_info_frames(rinput.obresult.frames)
image_groups = {}
self.logger.info('group images by filter')
for idx, info in enumerate(iinfo):
filt = info['filter']
if filt not in image_groups:
self.logger.debug('new filter %s', filt)
image_groups[filt] = []
img = rinput.obresult.frames[idx]
self.logger.debug('image %s in group %s', img, filt)
image_groups[filt].append(img)
for filt, frames in image_groups.items():
self.logger.info('processing filter %s', filt)
# Uncomment this line and comment the following
# to revert to non-ramp
# res = self.run_per_filter(frames, flow)
try:
res = self.run_per_filter_ramp(frames, saturation=saturation)
results.append(res)
except ValueError:
self.logger.info('filter %s cannot be processed', filt)
self.logger.info('end multiflat flat reduction')
result = self.create_result(twflatframes=results)
return result