SN 2023ixf in Messier 101: The Twilight Years of the Progenitor as Seen by Pan-STARRS

Author:

Ransome Conor L.ORCID,Villar V. AshleyORCID,Tartaglia AnnaORCID,Gonzalez Sebastian JavierORCID,Jacobson-Galán Wynn V.ORCID,Kilpatrick Charles D.ORCID,Margutti RaffaellaORCID,Foley Ryan J.ORCID,Grayling MatthewORCID,Ni Yuan QiORCID,Yarza RicardoORCID,Ye Christine,Auchettl KatieORCID,de Boer ThomasORCID,Chambers Kenneth C.ORCID,Coulter David A.ORCID,Drout Maria R.ORCID,Farias DiegoORCID,Gall ChristaORCID,Gao HuaORCID,Huber Mark E.ORCID,Ibik Adaeze L.ORCID,Jones David O.ORCID,Khetan NanditaORCID,Lin Chien-ChengORCID,Politsch Collin A.ORCID,Raimundo Sandra I.ORCID,Rest ArminORCID,Wainscoat Richard J.ORCID,Yadavalli S. KarthikORCID,Zenati YossefORCID

Abstract

Abstract The nearby type II supernova, SN 2023ixf in M101 exhibits signatures of early time interaction with circumstellar material in the first week postexplosion. This material may be the consequence of prior mass loss suffered by the progenitor, which possibly manifested in the form of a detectable presupernova outburst. We present an analysis of long-baseline preexplosion photometric data in the g, w, r, i, z, and y filters from Pan-STARRS as part of the Young Supernova Experiment, spanning ∼5000 days. We find no significant detections in the Pan-STARRS preexplosion light curves. We train a multilayer perceptron neural network to classify presupernova outbursts. We find no evidence of eruptive presupernova activity to a limiting absolute magnitude of −7 mag. The limiting magnitudes from the full set of gwrizy (average absolute magnitude ≈ −8 mag) data are consistent with previous preexplosion studies. We use deep photometry from the literature to constrain the progenitor of SN 2023ixf, finding that these data are consistent with a dusty red supergiant progenitor with luminosity log L / L ≈ 5.12 and temperature ≈ 3950 K, corresponding to a mass of 14–20 M .

Funder

Charles E. Kaufman Foundation

Publisher

American Astronomical Society

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3