Identifying variable and period objects using light curve classification

Status: Active (Oct 2020)

Software : https://github.com/mcoughlin/ztfperiodic, https://github.com/ejaszewski/periodfind

Description/Plans:
We have already processed ZTF DR2 and applied the source classification pipelines to it. We are in the process of using some of our computing resources to period find DR3.

Needs:

1. A fast implementation of ALeRCE's Irregular Autoregressive Model to add to the light curve features.
2. A study on the analysis choices made in the DR2 analysis
   • Restricting to one point within 30 minutes (to remove high cadence data)
   • Restricting to periods greater than 30 minutes (to make computing tractable)
   • Restricting to a minimum of 50 points per light curve (for metric efficacy)
   • Period range exclusions (to remove effects from cadence aliasing)
   • Period finding choices, including the choice of the oversampling factor
3. Combining photometric points from other surveys (PTF data?)
4. Clipping light curves for outlier removal, either using a comparison with a given sigma-difference or percentile based cuts.

Michael: ongoing and future work following the published work.

-- Ashish Mahabal - 2020-10-23

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