Estimation of Host Galaxy Extinction for SNe Ia

Type Ia supernovae are used as fundamental probes of the cosmological parameters, based on a tight empirical relation between their peak luminosity and the width of their light curve. However, it has been recognized that SNe Ia are not “standard” candles, since important variations in their peak luminosities are observed, as a function of the metallicity, age, environment, and morphological type of the supernova hosts. The largest correction in the standardization scheme is related to extinction. While extinction in the Milky Way (MW) Galaxy is usually known and extinction between galaxies can be assumed to be zero, the value of extinction in the SN Ia host galaxy (Ahost) is determined with much more uncertainty. In this paper, we provide an estimate of the Ahost value based on statistical modeling. To do this, we generate, based on MaNGA data, a set of galaxies in the vicinity of the MW, and distribute the parameters of the galaxies and the positions of SNe Ia in them. As a result, using a simplified model for the distribution of interstellar matter, which is the same for all the sampled galaxies, we can estimate the probability that Ahost exceeds a certain value. Our estimates show, in particular, that in almost all cases, Ahost > 0.10 mag V, and in 25% of cases, Ahost > 0.25 mag V.

Authors

Institutions

Publication Details

Journal
Galaxies
Published
2025-11-25
DOI
https://doi.org/10.3390/galaxies13060129
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimation of Host Galaxy Extinction for SNe Ia

Gang Zhao, Zehao Zhong, O. Yu. Malkov, A. Yu. Sytov
Galaxies
Gamma-ray bursts and supernovae
article

Estimation of Host Galaxy Extinction for SNe Ia

Gang Zhao, Zehao Zhong, O. Yu. Malkov, A. Yu. Sytov
article en

Abstract

Type Ia supernovae are used as fundamental probes of the cosmological parameters, based on a tight empirical relation between their peak luminosity and the width of their light curve. However, it has been recognized that SNe Ia are not “standard” candles, since important variations in their peak luminosities are observed, as a function of the metallicity, age, environment, and morphological type of the supernova hosts. The largest correction in the standardization scheme is related to extinction. While extinction in the Milky Way (MW) Galaxy is usually known and extinction between galaxies can be assumed to be zero, the value of extinction in the SN Ia host galaxy (Ahost) is determined with much more uncertainty. In this paper, we provide an estimate of the Ahost value based on statistical modeling. To do this, we generate, based on MaNGA data, a set of galaxies in the vicinity of the MW, and distribute the parameters of the galaxies and the positions of SNe Ia in them. As a result, using a simplified model for the distribution of interstellar matter, which is the same for all the sampled galaxies, we can estimate the probability that Ahost exceeds a certain value. Our estimates show, in particular, that in almost all cases, Ahost > 0.10 mag V, and in 25% of cases, Ahost > 0.25 mag V.

GalaxiesVol. 13(6)
Chinese Academy of Sciences (CN), Institute of Astronomy (RU), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN)
National Aeronautics and Space Administration, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Russian Academy of Sciences, Astrophysics Division
Openalex Percentile: Top 75%
Gamma-ray bursts and supernovae
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.