from config import DB_PATH
from extract.core.lines import SpectralFits
from extract.observatories.gemini import GeminiTelescopeInstruments
from extract.helpers import fetch_bad_jds
# Define viewing routines.
viewer = SpectralFits(GeminiTelescopeInstruments.gmos)
viewer.view(db_path=DB_PATH,
table='Hepsilon_RegimeConcat',
start_at=0,
comp_number=[1, 2, 3, 4],
bad_jds=fetch_bad_jds(db_path=DB_PATH,
fit='h_epsilon_master',
comp='Any'),
fold=False,
save=False,
save_loc='/Data/ScreenGrabs/AstroDynamics Screenshots/'
'Videos/Hepsilon/Hepsilon_GMOS_Fit_comp{}_{}.jpg')
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,
draw=False,
db_path=DB_PATH)
# Store consecutive regimes.
if not regime['label'] == 'benchmark':
res_tables.extend(fitter.table_names)
# Join regimes.
print('Collating fits into table={}'.format(concat_table))
connection = sqlite3.connect(DB_PATH)
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)
# Store consecutive regimes.
if not regime['label'] == 'benchmark':
res_tables.extend(fitter.table_names)
# Join regimes.
print('Collating fits into table={}'.format(concat_table))
connection = sqlite3.connect(DB_PATH)
for t in res_tables: