GROWTH on S190426c II: GROWTH-India Telescope search for an optical counterpart with a custom image reduction and candidate vetting pipeline

Abstract

S190426c/GW190426_152155 was the first probable neutron star–black hole merger candidate detected by the LIGO-Virgo Collaboration. We undertook a tiled search for optical counterparts of this event using the 0.7-m GROWTH-India Telescope. Over a period of two weeks, we obtained multiple observations over a 22.1 deg2 area, with a 17.5 per cent probability of containing the source location. Initial efforts included obtaining photometry of sources reported by various groups, and a visual search for sources in all galaxies contained in the region. Subsequently, we have developed an image subtraction and candidate vetting pipeline with ∼94 per cent efficiency for transient detection. Processing the data with this pipeline, we find several transients, but none that are compatible with kilonova models. We present the details of our observations, the working of our pipeline, results from the search, and our interpretations of the non-detections that will work as a pathfinder during the O4 run of LVK.

Description

This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2022 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

Keywords

Methods: Data Analysis, Techniques: Image Processing, Black Hole - Neutron Star Mergers, Neutron Star Mergers

Citation

Harsh Kumar, Varun Bhalerao, G C Anupama, Sudhanshu Barway, Michael W Coughlin, Kishalay De, Kunal Deshmukh, Anirban Dutta, Daniel A Goldstein, Adeem Jassani, Simran Joharle, Viraj Karambelker, Maitreya Khandagale, Brajesh Kumar, Divita Saraogi, Yashvi Sharma, Vedant Shenoy, Leo singer, Avinash Singh, Gaurav Waratkar, GROWTH on S190426c II: GROWTH-India Telescope search for an optical counterpart with a custom image reduction and candidate vetting pipeline, Monthly Notices of the Royal Astronomical Society, Volume 516, Issue 3, November 2022, Pages 4517–4528, https://doi.org/10.1093/mnras/stac2516

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