HAFFET: Hybrid Analytic Flux FittEr for Transients

The progenitors for many types of supernovae (SNe) are still unknown, and an approach to diagnose their physical origins is to investigate the light-curve brightness and shape of a large set of SNe. However, it is often difficult to compare and contrast the existing sample studies due to differences...

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Main Authors: Sheng Yang, Jesper Sollerman
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/acfcb4
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author Sheng Yang
Jesper Sollerman
author_facet Sheng Yang
Jesper Sollerman
author_sort Sheng Yang
collection DOAJ
description The progenitors for many types of supernovae (SNe) are still unknown, and an approach to diagnose their physical origins is to investigate the light-curve brightness and shape of a large set of SNe. However, it is often difficult to compare and contrast the existing sample studies due to differences in their approaches and assumptions, for example, in how to eliminate host galaxy extinction, and this might lead to systematic errors when comparing the results. We therefore introduce the Hybrid Analytic Flux FittEr for Transients ( HAFFET ), a Python-based software package that can be applied to download photometric and spectroscopic data for transients from open online sources, derive bolometric light curves, and fit them to semianalytical models for estimation of their physical parameters. In a companion study, we have investigated a large collection of SNe Ib and Ic observed with the Zwicky Transient Facility (ZTF) with HAFFET , and here we detail the methodology and the software package to encourage more users. As large-scale surveys such as ZTF and LSST continue to discover increasing numbers of transients, tools such as HAFFET will be critical for enabling rapid comparison of models against data in statistically consistent, comparable, and reproducible ways. Additionally, HAFFET is created with a graphical user interface mode, which we hope will boost the efficiency and make the usage much easier ( https://github.com/saberyoung/HAFFET ).
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spelling doaj.art-2b43bd6ea4ed4f34990f4adc596438082023-11-17T10:04:23ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492023-01-0126924010.3847/1538-4365/acfcb4HAFFET: Hybrid Analytic Flux FittEr for TransientsSheng Yang0https://orcid.org/0000-0002-2898-6532Jesper Sollerman1https://orcid.org/0000-0003-1546-6615Department of Astronomy, The Oskar Klein Center, Stockholm University , AlbaNova, SE-10691 Stockholm, Sweden ; sheng.yang@hnas.ac.cn; Henan Academy of Sciences , Zhengzhou 450046, Henan, People’s Republic of ChinaDepartment of Astronomy, The Oskar Klein Center, Stockholm University , AlbaNova, SE-10691 Stockholm, Sweden ; sheng.yang@hnas.ac.cnThe progenitors for many types of supernovae (SNe) are still unknown, and an approach to diagnose their physical origins is to investigate the light-curve brightness and shape of a large set of SNe. However, it is often difficult to compare and contrast the existing sample studies due to differences in their approaches and assumptions, for example, in how to eliminate host galaxy extinction, and this might lead to systematic errors when comparing the results. We therefore introduce the Hybrid Analytic Flux FittEr for Transients ( HAFFET ), a Python-based software package that can be applied to download photometric and spectroscopic data for transients from open online sources, derive bolometric light curves, and fit them to semianalytical models for estimation of their physical parameters. In a companion study, we have investigated a large collection of SNe Ib and Ic observed with the Zwicky Transient Facility (ZTF) with HAFFET , and here we detail the methodology and the software package to encourage more users. As large-scale surveys such as ZTF and LSST continue to discover increasing numbers of transients, tools such as HAFFET will be critical for enabling rapid comparison of models against data in statistically consistent, comparable, and reproducible ways. Additionally, HAFFET is created with a graphical user interface mode, which we hope will boost the efficiency and make the usage much easier ( https://github.com/saberyoung/HAFFET ).https://doi.org/10.3847/1538-4365/acfcb4Astronomy softwareAstronomy data modelingSupernovaeOpen source software
spellingShingle Sheng Yang
Jesper Sollerman
HAFFET: Hybrid Analytic Flux FittEr for Transients
The Astrophysical Journal Supplement Series
Astronomy software
Astronomy data modeling
Supernovae
Open source software
title HAFFET: Hybrid Analytic Flux FittEr for Transients
title_full HAFFET: Hybrid Analytic Flux FittEr for Transients
title_fullStr HAFFET: Hybrid Analytic Flux FittEr for Transients
title_full_unstemmed HAFFET: Hybrid Analytic Flux FittEr for Transients
title_short HAFFET: Hybrid Analytic Flux FittEr for Transients
title_sort haffet hybrid analytic flux fitter for transients
topic Astronomy software
Astronomy data modeling
Supernovae
Open source software
url https://doi.org/10.3847/1538-4365/acfcb4
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AT jespersollerman haffethybridanalyticfluxfitterfortransients