def __init__(self,
spectrograph,
files=None,
det=1,
par=None,
master_key=None,
master_dir=None,
reuse_masters=False,
msbias=None):
# Parameters unique to this Object
self.msbias = msbias
# Parameters
self.par = pypeitpar.FrameGroupPar(
self.frametype) if par is None else par
# Start us up
processimages.ProcessImages.__init__(self,
spectrograph,
self.par['process'],
files=files,
det=det)
# MasterFrames: Specifically pass the ProcessImages-constructed
# spectrograph even though it really only needs the string name
masterframe.MasterFrame.__init__(self,
self.frametype,
master_key,
master_dir,
reuse_masters=reuse_masters)
def __init__(self, spectrograph, files=None, det=1, par=None):
self.par = pypeitpar.FrameGroupPar('trace') if par is None else par
processimages.ProcessImages.__init__(self,
spectrograph,
self.par['process'],
files=files,
det=det)
def __init__(self,
spectrograph,
files=None,
det=1,
par=None,
master_key=None,
master_dir=None,
reuse_masters=False):
# Parameters
self.par = pypeitpar.FrameGroupPar(
self.frametype) if par is None else par
# Start us up
calibrationimage.CalibrationImage.__init__(self,
spectrograph,
det,
self.par['process'],
files=files)
# MasterFrames: Specifically pass the ProcessImages-constructed
# spectrograph even though it really only needs the string name
masterframe.MasterFrame.__init__(self,
self.master_type,
master_dir=master_dir,
master_key=master_key,
reuse_masters=reuse_masters)
# Processing steps
self.process_steps = []
if self.par['process']['overscan'].lower() != 'none':
self.process_steps.append('subtract_overscan')
self.process_steps += ['trim']
def __init__(self, spectrograph, files=None, det=1, par=None, bias=None):
self.par = pypeitpar.FrameGroupPar('trace') if par is None else par
# Start us up
calibrationimage.CalibrationImage.__init__(self,
spectrograph,
det,
self.par['process'],
files=files)
# Processing steps
self.process_steps = procimg.init_process_steps(
bias, self.par['process'])
self.process_steps += ['trim']
self.process_steps += ['apply_gain']
self.process_steps += ['orient']
def test_run():
# Masters
spectrograph, tslits_dict, tilts_dict, datasec_img \
= load_kast_blue_masters(get_spectrograph=True, tslits=True, tilts=True,
datasec=True)
# Instantiate
frametype = 'pixelflat'
par = pypeitpar.FrameGroupPar(frametype)
flatField = flatfield.FlatField(spectrograph, par, det=1, tilts_dict=tilts_dict,
tslits_dict=tslits_dict.copy())
# Use mstrace
flatField.rawflatimg = tslits_dict['mstrace'].copy()
mspixelflatnrm, msillumflat = flatField.run()
assert np.isclose(np.median(mspixelflatnrm), 1.0)
def test_run():
# Masters
spectrograph = load_spectrograph('shane_kast_blue')
edges, tilts_dict = load_kast_blue_masters(edges=True, tilts=True)
# Instantiate
frametype = 'pixelflat'
par = pypeitpar.FrameGroupPar(frametype)
flatField = flatfield.FlatField(spectrograph,
par,
det=1,
tilts_dict=tilts_dict,
tslits_dict=edges.convert_to_tslits_dict())
# Use the trace image
flatField.rawflatimg = pypeitimage.PypeItImage(edges.img.copy())
mspixelflatnrm, msillumflat = flatField.run()
assert np.isclose(np.median(mspixelflatnrm), 1.0)
def __init__(self,
spectrograph,
files=None,
det=1,
par=None,
master_key=None,
master_dir=None,
reuse_masters=False,
msbias=None):
# Parameters unique to this Object
self.msbias = msbias
# Parameters
self.par = pypeitpar.FrameGroupPar(
self.frametype) if par is None else par
# Start us up
calibrationimage.CalibrationImage.__init__(self,
spectrograph,
det,
self.par['process'],
files=files)
# MasterFrames: Specifically pass the ProcessImages-constructed
# spectrograph even though it really only needs the string name
masterframe.MasterFrame.__init__(self,
self.master_type,
master_dir=master_dir,
master_key=master_key,
reuse_masters=reuse_masters)
# Process steps
self.process_steps = procimg.init_process_steps(
self.msbias, self.par['process'])
self.process_steps += ['trim']
self.process_steps += ['orient']
self.process_steps += ['apply_gain']
def test_framegroup():
pypeitpar.FrameGroupPar()
