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Record W4413337604 · doi:10.33232/001c.143462

Seeing the Outer Edge of the Infant Type Ia Supernova 2024epr in the Optical and Near Infrared

2025· article· en· W4413337604 on OpenAlex

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fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Open Journal of Astrophysics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsnot available
FundersLawrence Berkeley National LaboratoryPlanetary Science DivisionDeutsches Elektronen-SynchrotronInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilScience Mission DirectorateSmithsonian Astrophysical ObservatoryUniversity of Illinois at Urbana-ChampaignMax-Planck-Institut für AstronomieEötvös Loránd TudományegyetemStockholms UniversitetGordon and Betty Moore FoundationQueen's University BelfastNational Centre for Supercomputing ApplicationsNational Central UniversityVillum FondenLos Alamos National LaboratoryUniversity of WashingtonJohns Hopkins UniversityNational Science FoundationQueen's UniversityNASA Exoplanet Science InstituteUniversity of California, Santa CruzNuclear Safety and Security CommissionEuropean CommissionCalifornia Institute of TechnologySonoma State UniversitySmithsonian InstitutionU.S. Department of EnergyMinistério da Ciência, Tecnologia, Inovações e ComunicaçõesKorea Astronomy and Space Science InstituteSpace Telescope Science InstituteW. M. Keck FoundationNational Aeronautics and Space AdministrationAgencia Nacional de Investigación y DesarrolloTrinity College DublinDurham University
KeywordsSupernovaEnhanced Data Rates for GSM EvolutionInfraredAstrophysicsPhysicsAstronomyComputer scienceArtificial intelligence

Abstract

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We present optical-to-near-infrared (NIR) photometry and spectroscopy of the Type Ia supernova (SN~Ia) 2024epr, including NIR spectra observed within two days of first light. The early-time optical spectra show strong, high-velocity Ca and Si features near rarely-observed velocities at $ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mn>0.1</mml:mn> </mml:math> c$, and the NIR spectra show a “knee.’’ Despite early-time, high-velocity features, SN~2024epr evolves into a normal SN~Ia, albeit with stronger peak-light Ca absorption than other SNe~Ia with the same light curve shape. Although we infer a normal decline rate, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>Δ</mml:mi> <mml:msub> <mml:mi>m</mml:mi> <mml:mn>15</mml:mn> </mml:msub> <mml:mrow> <mml:mo stretchy="true" form="prefix">(</mml:mo> <mml:mi>B</mml:mi> <mml:mo stretchy="true" form="postfix">)</mml:mo> </mml:mrow> <mml:mo>=</mml:mo> <mml:mn>1.09</mml:mn> <mml:mo>±</mml:mo> <mml:mn>0.12</mml:mn> </mml:mrow> </mml:math> ~mag, from the light-curve rise, SN~2024epr is a Branch”cool’’ object and has red early-time colors ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>g</mml:mi> <mml:mo>−</mml:mo> <mml:mi>r</mml:mi> <mml:mo>≈</mml:mo> <mml:mn>0.15</mml:mn> </mml:mrow> </mml:math> ~mag at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mo>−</mml:mo> <mml:mn>10</mml:mn> </mml:mrow> </mml:math> ~days). The high velocities point to a density enhancement in the outer layers of the explosion, predicted by some models, but thick-shell He-detonation models do not match the smoothly rising light curve or apparent lack of He in our early-time NIR spectra. No current models (e.g., delayed detonation or thin He shell double detonation) appear to reproduce all observed properties, particularly the unusual early-time colors. Such constraints are only possible for SN~2024epr from the earliest optical and NIR observations, highlighting their importance for constraining SN~Ia models. Finally, we identify several literature SNe~Ia with intermediate mass elements at $ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mn>30</mml:mn> <mml:mspace width="0.167em"/> <mml:mn>000</mml:mn> <mml:mspace width="0.222em"/> <mml:mi>k</mml:mi> <mml:mi>m</mml:mi> <mml:mspace width="0.222em"/> <mml:mi>s</mml:mi> </mml:mrow> </mml:math> ^{-1}$ within days after the explosion that evolve into otherwise normal SNe~Ia at peak light, suggesting the early-time spectra of SNe~Ia may hide a broad diversity of observational characteristics.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.292

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.266
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it