A Population Study on the Radio Emission of Fast Blue Optical Transients
Jian-Feng Liu, Liang-Duan Liu, Yun-Wei Yu, Jin-Ping Zhu

TL;DR
This study explores the radio emission characteristics of Fast Blue Optical Transients (FBOTs) by analyzing their population properties and assessing their detectability with current and future radio telescopes, providing insights into their progenitors and circumstellar environments.
Contribution
It offers the first statistical analysis of FBOT radio emission based on population parameters and evaluates detection prospects with upcoming telescopes.
Findings
Peak radio emission occurs around 100 days post-explosion.
Detection probability with current telescopes is approximately 8.7%.
Future telescopes could increase detection chances to about 23.9%.
Abstract
Despite the fact that the progenitor of fast blue optical transients (FBOTs) is still up for debate, FBOTs are sometimes suggested to originate from the core-collapse of ultra-stripped stars and be powered by a spinning-down neutron star. Following this consideration, it is expected that the late-time evolution of the progenitor stars can leave important imprints in the circumstellar material (CSM) of the FBOTs, due to the strong mass loss of the stars. The interaction of the FBOT ejecta with the CSM can drive a long-lasting shock to generate radio emission, which thus enables us to probe the CSM properties through radio observation although such observations are still rare. Within the framework of the magnetar-powered model, Liu et al.(2022) fitted the multi-band optical light curves of 40 FBOTs and, hence, the statistical distributions of the FBOT magnetar and ejecta parameters were…
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
TopicsTelecommunications and Broadcasting Technologies
