ATClean: A Novel Method for Detecting Low-Luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf
S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L., Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L., Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J., l. Tonry, Q. Wang, Y. Zenati

TL;DR
ATClean is a new method for detecting faint, low-luminosity transient sources in difference imaging data, enabling more efficient analysis of optical survey light curves and constraining progenitor and outburst properties of supernovae.
Contribution
This paper introduces ATClean, a novel statistical method for analyzing forced photometry in difference images, improving detection sensitivity and computational efficiency.
Findings
Accurately reproduces flux limits comparable to more expensive methods.
Rules out variability in red supergiants with initial masses >22 M_sun.
Constrains outburst ejecta masses to less than 0.021 M_sun.
Abstract
In an effort to search for faint sources of emission over arbitrary timescales, we present a novel method for analyzing forced photometry light curves in difference imaging from optical surveys. Our method "ATLAS Clean'' or ATClean, utilizes the reported fluxes, uncertainties, and fits to the point-spread function from difference images to quantify the statistical significance of individual measurements. We apply this method to control light curves across the image to determine whether any source of flux is present in the data for a range of specific timescales. From ATLAS -band imaging at the site of the Type II supernova (SN) 2023ixf in M101 from 2015--2023, we show that this method accurately reproduces the 3 flux limits produced from other, more computationally expensive methods. We derive limits for emission on timescales of 5~days and 80-300~days at the site of…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Earthquake Detection and Analysis
