marshallEngine.feeders.atlas.lightcurve module

Generate the force-photometry lightcurves for ATLAS sources found in the marshall database

Author

David Young

generate_atlas_lightcurves(dbConn, log, settings)

generate all atlas FP lightcurves (clipped and stacked)

Key Arguments

• dbConn – mysql database connection

• log – logger

• settings – settings for the marshall.

from marshallEngine.feeders.atlas.lightcurve import generate_atlas_lightcurves
generate_atlas_lightcurves(
    log=log,
    dbConn=dbConn,
    settings=settings
)

plot_single_result(transientBucketId, log, fig, converter, ax, settings)

plot single result

Key Arguments:

- `transientBucketId` -- thr transient ID for the source in the database
- `log` -- logger
- `fig` -- the matplotlib figure to use for the plot
- `converter` -- converter to switch mjd to ut-date
- `ax` -- plot axis
- `settings` -- dictionary of settings (from yaml settings file)

Return:

- `filePath` -- path to the output PNG plot

sigma_clip_data(log, fpData, clippingSigma=2.2)

clean up rouge data from the files by performing some basic clipping

Key Arguments:

• fpData – data dictionary of force photometry

• clippingSigma – the level at which to clip flux data

Return:

• epochs – sigma clipped and cleaned epoch data

stack_photometry(log, magnitudes, binningDays=1.0)

stack the photometry for the given temporal range

Key Arguments:

- `magnitudes` -- dictionary of photometry divided into filter sets
- `binningDays` -- the binning to use (in days)

Return:

- `summedMagnitudes` -- the stacked photometry

get_twin(ax, axis)

get_twin_axis(ax, axis)