J-GEM optical and near-infrared follow-up of gravitational wave events during LIGO's and Virgo's third observing run
Mahito Sasada, Yousuke Utsumi, Ryosuke Itoh, Nozomu Tominaga, Masaomi, Tanaka, Tomoki Morokuma, Kenshi Yanagisawa, Koji S. Kawabata, Takayuki, Ohgami, Michitoshi Yoshida, Fumio Abe, Ryo Adachi, Hiroshi Akitaya, Yang, Chong, Kazuki Daikuhara, Ryo Hamasaki, Satoshi Honda

TL;DR
J-GEM conducted optical and near-infrared follow-up observations of 23 gravitational wave events during LIGO and Virgo's third run, successfully initiating observations for 10 events within 0.5 days, demonstrating potential to constrain electromagnetic emission models.
Contribution
This paper presents a web-based system for rapid sharing of candidate host galaxies and details the follow-up strategy and results during LIGO/Virgo's third observing run.
Findings
Followed up 23 GW events with galaxy-targeted observations.
Initiated observations for 10 events within 0.5 days.
Coverage of up to 9.8% probability area for GW localization.
Abstract
The Laser Interferometer Gravitational-wave Observatory Scientific Collaboration and Virgo Collaboration (LVC) sent out 56 gravitational-wave (GW) notices during the third observing run (O3). Japanese collaboration for Gravitational wave ElectroMagnetic follow-up (J-GEM) performed optical and near-infrared observations to identify and observe an electromagnetic (EM) counterpart. We constructed web-based system which enabled us to obtain and share information of candidate host galaxies for the counterpart, and status of our observations. Candidate host galaxies were selected from the GLADE catalog with a weight based on the three-dimensional GW localization map provided by LVC. We conducted galaxy-targeted and wide-field blind surveys, real-time data analysis, and visual inspection of observed galaxies. We performed galaxy-targeted follow-ups to 23 GW events during O3, and the maximum…
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.
