Simulate transients within the sky
skysurvey relies on sncosmo for bandpass and lightcurve generations. (https://sncosmo.readthedocs.io/en/stable/)
See documentation on read the docs
pip install skysurveyor
git clone https://github.com/MickaelRigault/skysurvey.git
cd skysurvey
pip install .You need to create a Target and a Survey to then
simulate how your survey would observe your targets ;
aka a DataSet.
Here is a quick example:
import skysurvey
snia = skysurvey.SNeIa()
data = snia.draw(size=50_000, tstart=56_000, tstop=56_100, inplace=True) # see options
data.head(5) # also snia.dataimport numpy as np
from skysurvey.tools import utils
size = 10_000
# footprint
from shapely import geometry
sq_footprint = geometry.box(-1, -1, +1, +1)
# Observing data
ra, dec = utils.random_radec(size=size, ra_range=[200,250], dec_range=[-20,10])
data = {}
data["ra"] = ra
data["dec"] = dec
data["gain"] = 1
data["zp"] = 30
data["skynoise"] = np.random.normal(size=size, loc=150, scale=20)
data["mjd"] = np.random.uniform(56_000-10, 56_100 + 10, size=size)
data["band"] = np.random.choice(["desg","desr","desi"], size=size)
# Build the survey
survey = skysurvey.Survey.from_pointings(data, footprint=sq_footprint)
survey.dataAnd now let's build the dataset. The simulated lightcurves are in dset.data, the input survey is stored in dset.survey, the input targets is stored in dset.targets
from skysurvey import dataset
dset = dataset.DataSet.from_targets_and_survey(snia, survey)
dset.data
