An Updated Detection Pipeline for Precursor Emission in Type II Supernova 2020tlf
Wynn Jacobson-Gal\'an, Sebastian Gonzalez, Shreyas Patel, Luc Dessart,, David Jones, Deanne Coppejans, Georgios Dimitriadis, Ryan J. Foley, Charles, D. Kilpatrick, David Matthews, Sofia Rest, Giacomo Terreran, Patrick D. Aleo,, Katie Auchettl, Peter K. Blanchard

TL;DR
This paper introduces an improved photometric detection pipeline for pre-supernova emission, applied to SN 2020tlf, providing more accurate pre-explosion data and challenging previous blackbody modeling assumptions.
Contribution
The paper presents a new, robust photometric pipeline for detecting pre-supernova emission and revises previous analyses of SN 2020tlf with more reliable data.
Findings
Fewer pre-SN detections at phases > -100 days compared to prior work.
Progenitor luminosity of ~10^40 erg s^-1 confirmed before explosion.
Discourages use of blackbody modeling for pre-explosion spectral energy distribution.
Abstract
We present a new photometric pipeline for the detection of pre-supernova (pre-SN) emission in the Young Supernova Experiment (YSE) sky survey. The method described is applied to SN 2020tlf, a type II SN (SN II) with precursor emission in the last ~100 days before first light. We re-analyze the YSE griz-band light curves of SN 2020tlf and provide revised pre-explosion photometry that includes a robust list of confident detection and limiting magnitudes. Compared to the results of Jacobson-Galan et al. 2022a, this new analysis yields fewer total r/i/z-band pre-SN detections at phases > -100 days. Furthermore, we discourage the use of the blackbody modeling of the pre-explosion spectral energy distribution, the pre-SN bolometric light curve and the blackbody model parameters presented in Jacobson-Galan et al. 2022a. Nevertheless, binned photometry of SN 2020tlf confirms a consistent…
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