Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Ejecta masses in Type Ia Supernovae -- Implications for the Progenitor and the Explosion Scenario

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2024

Ejecta masses in Type Ia Supernovae -- Implications for the Progenitor and the Explosion Scenario

0 Datasets

0 Files

en
2024
DOI: 10.48550/arxiv.2408.11928

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Alexei V Filippenko
Alexei V Filippenko

University of California, Berkeley

Verified
Zsófia Bora
Réka Könyves-Tóth
J. Vinkó
+35 more

Abstract

The progenitor system(s) as well as the explosion mechanism(s) of thermonuclear (Type Ia) supernovae are long-standing issues in astrophysics. Here we present ejecta masses and other physical parameters for 28 recent Type Ia supernovae inferred from multiband photometric and optical spectroscopic data. Our results confirm that the majority of SNe Ia show {\it observable} ejecta masses below the Chandrasekhar-limit (having a mean $M_{\rm ej} \approx 1.1 \pm 0.3$ M$_\odot$), consistent with the predictions of recent sub-M$_{\rm Ch}$ explosion models. They are compatible with models assuming either single- or double-degenerate progenitor configurations. We also recover a sub-sample of supernovae within $1.2 $ M$_\odot$ $< M_{\rm {ej}} < 1.5$ M$_\odot$ that are consistent with near-Chandrasekhar explosions. Taking into account the uncertainties of the inferred ejecta masses, about half of our SNe are compatible with both explosion models. We compare our results with those in previous studies, and discuss the caveats and concerns regarding the applied methodology.

How to cite this publication

Zsófia Bora, Réka Könyves-Tóth, J. Vinkó, D. Bánhidi, I Bíró, K. Azalee Bostroem, Attila Bódi, J. Burke, István Csányi, B. Cseh, Joseph Farah, Alexei V Filippenko, Tibor Hegedüs, D. Hiramatsu, Ágoston Horti-Dávid, D. A. Howell, Saurabh W. Jha, Csilla Kalup, Máté Krezinger, L. Kriskovics, C. McCully, Megan Newsome, A. Ordasi, Estefania Padilla Gonzalez, András Pál, C. Pellegrino, B. Seli, Á. Sódor, Zsófia Marianna Szabó, Norton O. Szabó, Róbert Szakáts, Tamás Szalai, P. Székely, G. Terreran, V. Varga, K. Vida, Xiaofeng Wang, J. Craig Wheeler (2024). Ejecta masses in Type Ia Supernovae -- Implications for the Progenitor and the Explosion Scenario. , DOI: https://doi.org/10.48550/arxiv.2408.11928.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2024

Authors

38

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.48550/arxiv.2408.11928

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access