TDEs with LSST
Katja Bricman, Andreja Gomboc

TL;DR
This paper evaluates how different LSST observing strategies affect the detection and characterization of Tidal Disruption Events, proposing optimal cadences to improve TDE classification and study.
Contribution
It analyzes various LSST cadences to determine their effectiveness for TDE detection and suggests specific observing strategies to enhance TDE classification accuracy.
Findings
Higher detection rates with frequent multi-filter observations.
Cadences with 2 visits per night improve light curve quality.
Optimal cadences increase reliable TDE classifications.
Abstract
We investigate the prospects of observing Tidal Disruption Events (TDEs) with different LSST cadences proposed with the White Paper call. We study their detection rates, the quality of their light curves and discuss which cadences sample TDEs better before or during the peak of the light curve. We suggest some constraints on the observing cadences that we believe will increase the number of reliable classifications of TDEs, in particular a WFD survey with 2 visits in different filters every night or at least every second night, observing the extra-galactic sky.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSemantic Web and Ontologies
