LSST TVS SC Subgroup: Anomalies and True Novelties
Topic: LSST anomalies and true novelties
Our understanding of the Universe has progressed through deliberate, targeted studies of known phenomena, like the supernova campaigns that enabled the discovery of the accelerated expansion of the Universe, as much as through serendipitous, unexpected discoveries: Jupiter’s moons and interstellar objects like 1I/'Oumuamua force us to rethink assumptions and create new theories. Deploying new and powerful instruments in physics, we not only enable the pursuit of anticipated science goals but by expanding the observed parameter space we can uncover anomalies that lead to entirely new forms of understanding of our Universe. Anomaly detection requires exquisite technical expertise in data mining and statistical inference. This subgroup is design to advance technical expertise and develop moethodlogy to detect true novelties in the LSST data.
Membership
Join the TVS Science Collaboration and this subgroup via the main TVS Webpage. Note that your application should include your science interests and proposed contributions to the current TVS-anomalies activities described below. All members are expected to read and abide by the TVS Code of Conduct, the TVS Charter, and the TVS Publication Policy. Those documents describe the priviledges and responsibilities of TVS membership. Members may sign the Code of Conduct and Charter using this web form. We look forward to having you join us!
Active Projects of the Anomalies and True Novelties Subgroup
(1) Survey Cadence: Identifying opsims that maximize the potential to discover true anomalies
(2) Organizing a LSSTC-Enabling-Science workshop on anomaly detection
(3) Investigating the effectiveness of different methods for anomaly detections to detect truly novel phenomena
Active Members
Subgroup coordinator: Federica Bianco
Active Members:
- Patrick Aleo
- Konstantin Malanchev
- Gautham Narayan
- Tyler Pritchard
- Monika Soraisam
Active Members (secondary subgroup affiliation):
- Will Clarkson
- Xiaolong Li
- Fabio Ragosta