Use this template to quickly check out the DASCH data for a source of interest. To keep things terse, it does not include explanation — see the documentation.
# Fill in the SIMBAD-resolvable name of your target source:
SOURCE = "source name goes here"
# Leave this unchanged unless you're sure that you want something else:
REFCAT = "apass"
# Get the main module:
import daschlab
# Set up Bokeh plots:
from bokeh.io import output_notebook
output_notebook()
# Get some other imports that will be useful:
from astropy import units as u
from bokeh.plotting import figure, show
import numpy as np
from daschlab.photometry import AFlags, BFlags
sess = daschlab.open_session(source=SOURCE)
sess.select_target(name=SOURCE)
sess.select_refcat(REFCAT)
Once that's done, you may continue:
await sess.connect_to_wwt()
sess.refcat()[:12]
sess.refcat().show()
# Print mini table of candidates
sess.exposures().candidate_nice_cutouts()
# Choose an exp_local_id from the above list of candidates
SAMPLE_EXP_ID = id_goes_here
sess.exposures().show(SAMPLE_EXP_ID)
# This number is a row index into the reference catalog table, `sess.refcat()`. That
# table is sorted by promixity to the search target, so row 0 is probably what you want.
TARGET_ID = 0
lc = sess.lightcurve(TARGET_ID)
lc.summary()
lc.plot()
lc.apply_standard_rejections()
print()
lc.summary()
lc.plot()