U.S. Department of EnergyOffice of Scientific and Technical Information
DMTN-221: Periodicity Analysis in Alert Production
Abstract
The baselined timeseries features to be computed in Alert Production include a Lomb-Scargle periodogram ran on two classes of variable systems: RR Lyrae and Eclipsing Binaries. Based on a simulated LSST-like cadence light curves taken from the Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC) we perform an end-to-end test to characterize the periodicity recovery on the Alert Production multi-band light curves. In both variable classes, we found that a single-band Lomb-Scargle implementation yields to a low fraction of recovered periods, with a significant preference on the simple periodic phenomena such as RR Lyrae. We also investigated the results from a multi-band Lomb-Scargle and found an increased fraction of recovered periodicities above 15% for the eclipsing binaries, and over 80$$\%$$ for the RR Lyrae stars. Our findings suggest that a multi-band Lomb-Scargle should be implemented for searching periodic phenomena through AP. We also asses the computational and scientific performance of several configurations on simulated alert data and find that our current configuration scales linearly with the number of detections while assuming an heuristic frequency grid.
- Publication Date:
- Other Number(s):
- Vera C. Rubin Observatory Data Management Technical Note DMTN-221
- DOE Contract Number:
- AC02-76SF00515
- Research Org.:
- NSF-DOE Vera C. Rubin Observatory
- Sponsoring Org.:
- U.S. National Science Foundation; U.S. Department of Energy Office of Science
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS
- OSTI Identifier:
- 2998097
- DOI:
- https://doi.org/10.71929/rubin/2998097
Citation Formats
Tzanidakis, Anastasios, and Bellm, Eric C. DMTN-221: Periodicity Analysis in Alert Production. United States: N. p., 2024.
Web. doi:10.71929/rubin/2998097.
Tzanidakis, Anastasios, & Bellm, Eric C. DMTN-221: Periodicity Analysis in Alert Production. United States. doi:https://doi.org/10.71929/rubin/2998097
Tzanidakis, Anastasios, and Bellm, Eric C. 2024.
"DMTN-221: Periodicity Analysis in Alert Production". United States. doi:https://doi.org/10.71929/rubin/2998097. https://www.osti.gov/servlets/purl/2998097. Pub date:Fri May 03 04:00:00 UTC 2024
@article{osti_2998097,
title = {DMTN-221: Periodicity Analysis in Alert Production},
author = {Tzanidakis, Anastasios and Bellm, Eric C.},
abstractNote = {The baselined timeseries features to be computed in Alert Production include a Lomb-Scargle periodogram ran on two classes of variable systems: RR Lyrae and Eclipsing Binaries. Based on a simulated LSST-like cadence light curves taken from the Extended LSST Astronomical Time-series Classification Challenge (ELAsTiCC) we perform an end-to-end test to characterize the periodicity recovery on the Alert Production multi-band light curves. In both variable classes, we found that a single-band Lomb-Scargle implementation yields to a low fraction of recovered periods, with a significant preference on the simple periodic phenomena such as RR Lyrae. We also investigated the results from a multi-band Lomb-Scargle and found an increased fraction of recovered periodicities above 15% for the eclipsing binaries, and over 80$\%$ for the RR Lyrae stars. Our findings suggest that a multi-band Lomb-Scargle should be implemented for searching periodic phenomena through AP. We also asses the computational and scientific performance of several configurations on simulated alert data and find that our current configuration scales linearly with the number of detections while assuming an heuristic frequency grid.},
doi = {10.71929/rubin/2998097},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 03 04:00:00 UTC 2024},
month = {Fri May 03 04:00:00 UTC 2024}
}