def test_sc_pipeline():
"""
"""
sc = ShortCadence(ticid=TICID,
sap_mask="pipeline",
quality_bitmask=QUALITY_BITMASK)
_ = sc.get_lc()
assert isinstance(sc.lc_pdcsap, lk.LightCurve)
assert isinstance(sc.lc_sap, lk.LightCurve)
def test_sc_percentile():
"""
"""
sc = ShortCadence(
ticid=TICID,
sap_mask="percentile",
percentile=90,
quality_bitmask=QUALITY_BITMASK,
)
_ = sc.make_custom_lc()
assert isinstance(sc.lc_custom, lk.LightCurve)
def test_sc_threshold():
"""
"""
sc = ShortCadence(
ticid=TICID,
sap_mask="threshold",
threshold_sigma=5,
quality_bitmask=QUALITY_BITMASK,
)
_ = sc.make_custom_lc()
assert isinstance(sc.lc_custom, lk.LightCurve)
def test_sc_round():
"""
"""
sc = ShortCadence(
ticid=TICID,
sap_mask="round",
aper_radius=1,
quality_bitmask=QUALITY_BITMASK,
)
_ = sc.make_custom_lc()
assert isinstance(sc.lc_custom, lk.LightCurve)
def test_sc_square():
"""
"""
sc = ShortCadence(
ticid=TICID,
sap_mask="square",
aper_radius=1,
threshold_sigma=5,
percentile=95,
quality_bitmask=QUALITY_BITMASK,
)
_ = sc.make_custom_lc()
assert isinstance(sc.lc_custom, lk.LightCurve)
def test_sc_triceratops():
"""
"""
sc = ShortCadence(ticid=TICID, calc_fpp=True)
# df = sc.get_NEB_depths()
# df = sc.get_fpp(flat=flat, plot=False)
assert sc.triceratops is not None
from matplotlib.axes import Axes
from matplotlib.figure import Figure
import lightkurve as lk
from chronos import ShortCadence
from chronos.plot import (
plot_archival_images,
get_dss_data,
plot_dss_image,
plot_possible_NEBs,
)
# TICID = 460205581
TOIID = 837
s = ShortCadence(
# ticid=TICID,
toiid=TOIID)
lc = s.lc_pdcsap
gaia_sources = s.query_gaia_dr2_catalog(radius=60)
def test_archival():
fig = plot_archival_images(
ra=s.target_coord.ra.deg,
dec=s.target_coord.dec.deg,
survey1="dss1",
survey2="poss2ukstu_red", # or ps1 which requires panstarrs3 library
return_baseline=False,
)
assert isinstance(fig, Figure)