Early Color Photometry of the Type Iax Supernova 2023mnc: Inferring the Distance and Progenitor Constraints

Early Color Photometry of the Type Iax Supernova 2023mnc: Inferring the Distance and Progenitor Constraints | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Early Color Photometry of the Type Iax Supernova 2023mnc: Inferring the Distance and Progenitor Constraints Thomas Yang, Maureen Zhang, Tianran Shen, Justin Jiang, Michael Faison, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3396892/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Nov, 2023 Read the published version in Astrophysics and Space Science → Version 1 posted 7 You are reading this latest preprint version Abstract Early-time radioactive signals from type Ia supernovae (SNeIa) can provide important constraints on the explosion mechanism and the progenitor system. We present observations and analysis of SN2023mnc, a SN Ia, ∼ 7 days following its discovery. Follow-up observations were conducted in opticalbands, covering phases from ∼ −4 days to ∼ 15 days relative to its g-band peak luminosity. The early photometry allows us to estimate the physical properties of the ejecta and characterize the possible divergence from a normal SN Ia; we were able to characterize it as a Type Iax supernova instead. The estimated date of explosion is t0 = 60130 MJD and implies a short rise time of trise ≈ 16 days. The apparent g-band peak magnitude and the post-peak decline rate are mmax(g) = −19.52 ± 0.47mag and ∆m15(g) = −0.825 ± 1.635 mag, respectively. Based on the light curve fitting of standard SN Ia models, the distance modulus is predicted to be 37.98 ± 0.207 mag for g band measurements, and the SN is predicted to be 394.46 ± 38 Mpc from Earth. Assuming a 56Ni powered radiativediffusion, the estimated bolometric light-curve peaks at 1.08ergs−1 and indicates that only 0.05M⊙ of 56Ni was produced, making SN 2023mnc a moderate luminosity object in the Iax class with peak absolute magnitude of MV = −16.4 mag. Comparing the observed color evolution with the predictedby different models such as deflagration-to-detonation transition and pure-deflagration scenario, the latter one is favored. The photometry of SN 2023mnc offers a unique opportunity to examine the progenitor systems and ignition process of the SNe Iax, adding weight to the population study of such sub-class SNe. supernovae Photometry Pure-deflagration SN 2023mnc (ZTF23aaqqeri) Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 07 Nov, 2023 Read the published version in Astrophysics and Space Science → Version 1 posted Editorial decision: Major revision 16 Oct, 2023 Reviews received at journal 14 Oct, 2023 Reviewers agreed at journal 13 Oct, 2023 Reviewers invited by journal 12 Oct, 2023 Editor assigned by journal 04 Oct, 2023 Submission checks completed at journal 03 Oct, 2023 First submitted to journal 28 Sep, 2023 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3396892","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":236789093,"identity":"1e9254c1-8b1e-4bc3-90a8-6c6f8f26ba52","order_by":0,"name":"Thomas 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