res_tables = []
for regime in jd_tuples:
print('\nStarting new fitting regime={}\n'.format(regime['label']))
# Select subset of the dataset.
handler.select_fits_subset(pre_processing=None,
binning=None,
exposure=(None, 'max'),
reduction=None,
observatory=None,
jd=regime['jd_rule'])
# Define fitting routines.
fitter = SpectralFits(GeminiTelescopeInstruments.gmos)
fitter.add(
etacar_templates.h_i_3771(version=regime['template'],
solver=regime['solver']))
# Ready fitting routine and pre-processing options.
fitter.rcs_edge_size = (2, 10)
fitter.compile(helio_correction=False,
continuum_normalisation=True,
re_bin=None,
refine_continuum=True,
bad_jds=fetch_bad_jds(db_path=DB_PATH,
fit='h_iota_master',
comp='Any'))
# Execute fitting routines.
fitter.fit(handler.data_subset,
diagnostics=False,
res_tables = []
for regime in jd_tuples:
print('\nStarting new fitting regime={}\n'.format(regime['label']))
# Select subset of the dataset.
handler.select_fits_subset(pre_processing=None,
binning=None,
exposure=(None, 'max'),
reduction='endeavour',
observatory=regime['label'],
jd=regime['jd_rule'])
# Define fitting routines.
fitter = SpectralFits(regime['telescope'])
fitter.add(
novacar_templates.h_i_6563(version=regime['template'],
solver=regime['solver']))
# Ready fitting routine and pre-processing options.
fitter.compile(helio_correction=False,
continuum_normalisation=True,
re_bin=None,
refine_continuum=True,
bad_jds=fetch_bad_jds())
# Execute fitting routines.
fitter.fit(handler.data_subset,
diagnostics=False,
draw=False,
db_path=DB_PATH)