def get_lc(name):
""" Get light curve of target """
m = marshal.MarshalAccess()
m.download_lightcurve(name)
lcpath = './Data/marshal/lightcurves/' + name + '/marshal_plot_lc_lightcurve_' + name + '.csv'
lc = pd.read_csv(lcpath)
return lc
def get_pos(name):
"""
Get position of target, borrow from
https://github.com/annayqho/FinderChart/blob/master/ztf_finder.py
"""
m = marshal.MarshalAccess()
m.load_target_sources()
coords = m.get_target_coordinates(name)
ra = coords.ra.values[0]
dec = coords.dec.values[0]
return ra, dec
def get_pos(name):
"""
Get position of target, if you need to
This is very slow, so it's probably better
to supply an RA and DEC
"""
m = marshal.MarshalAccess()
m.load_target_sources()
coords = m.get_target_coordinates(name)
ra = coords.ra.values[0]
dec = coords.dec.values[0]
return ra, dec
def download_spec():
""" Download the spectra """
# connect to databases
m = marshal.MarshalAccess()
print("Connected")
# download light curves
marshal.download_spectra('ZTF18aaqjovh')
# I moved all the spectra to the directory SPEC_DIR
# return filenames
f = glob.glob(SPEC_DIR + "/*.ascii")
print(f)
return f
def update_marshal(self, program="Cosmology", store=True):
""" """
self._marshal = marshal.MarshalAccess()
self._marshal.load_target_sources(program)
if store:
self._marshal.store()
def dump_rcf_table():
m = marshal.MarshalAccess()
m.load_target_sources("Redshift Completeness Factor")
names = np.array(m.target_sources['name'])
classes = np.array(m.target_sources['classification'])
redshift = np.array(m.target_sources['redshift'])