caseyjlaw
commented
6 years ago Starting to sketch this out. Basic idea:
- Create database for saving parameters inserted into data.
- Insert transient randomly into data with range of physical characteristics to allow statistical measurement of detection efficiency with DM, dt, and phase offset.
- Run detection pipeline blindly and save all candidates, real and mock.
- Compare candidates to mock database after detection as veto before getting excited.
- Could optionally use a pseudo-random process to define input parameters. This would allow us to identify mock transients even if the mock database lookup fails.
We have the ability to simulate transients, but do not regularly use it in real-time observing. It would be valuable to implement an end-to-end plan for adding, finding, and tracking mock transients as a regular check of data quality.