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. SpectAcLE: An Improved Method for Modeling Light Echo Spectra

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

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
Article
en
2024

SpectAcLE: An Improved Method for Modeling Light Echo Spectra

0 Datasets

0 Files

en
2024
Vol 970 (2)
Vol. 970
DOI: 10.3847/1538-4357/ad4886dx.doi.org/10.3847/1538-4357/ad4886

Get instant academic access to this publication’s datasets.

Create free accountHow it works
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
Roee Partoush
A. Rest
J. Jencson
+17 more

Abstract

Abstract Light echoes give us a unique perspective on the nature of supernovae and nonterminal stellar explosions. Spectroscopy of light echoes can reveal details on the kinematics of the ejecta, probe asymmetry, and reveal details of ejecta interaction with circumstellar matter, thus expanding our understanding of these transient events. However, the spectral features arise from a complex interplay between the source photons, the reflecting dust geometry, and the instrumental setup and observing conditions. In this work, we present an improved method for modeling these effects in light echo spectra, one that relaxes the simplifying assumption of a light-curve-weighted sum, and instead estimates the true relative contribution of each phase of a transient event to the observed spectrum. We discuss our logic, the gains we obtain over light echo analysis methods used in the past, and prospects for further improvements. Lastly, we show how the new method improves our analysis of echoes from Tycho’s supernova (SN 1572) as an example.

How to cite this publication

Roee Partoush, A. Rest, J. Jencson, D. Poznanski, R. J. Foley, C. D. Kilpatrick, Jennifer E. Andrews, Rodrigo Angulo, Carles Badenes, Federica Bianco, Alexei V Filippenko, Ryan Ridden-Harper, Xiaolong Li, S. Margheim, T. Matheson, Knut Olsen, M. R. Siebert, Nathan Smith, D. L. Welch, A. Zenteno (2024). SpectAcLE: An Improved Method for Modeling Light Echo Spectra. , 970(2), DOI: https://doi.org/10.3847/1538-4357/ad4886.

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

Article

Year

2024

Authors

20

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3847/1538-4357/ad4886

Join Research Community

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

Get Free Access