On the relationship between Type Ia supernova luminosity and host-galaxy properties

Author:

Murakami Yukei S12ORCID,Stahl Benjamin E12ORCID,Zhang Keto D1ORCID,Chu Matthew R2,McGinness Emma C2,Patra Kishore C1,Filippenko Alexei V13

Affiliation:

1. Department of Astronomy, University of California, Berkeley, CA 94720-3411, USA

2. Department of Physics, University of California, Berkeley, CA 94720-7300, USA

3. Miller Institute for Basic Research in Science, University of California, Berkeley, CA 94720, USA

Abstract

ABSTRACT A string of recent studies has debated the exact form and physical origin of an evolutionary trend between the peak luminosity of Type Ia supernovae (SNe Ia) and the properties of the galaxies that host them. We shed new light on the discussion by presenting an analysis of ∼200 low-redshift SNe Ia in which we measure the separation of Hubble residuals (HR; as probes of luminosity) between two host-galaxy morphological types. We show that this separation can test the predictions made by recently proposed models, using an independently and empirically determined distribution of each morphological type in host-property space. Our results are partially consistent with the new HR–age slope, but we find significant scatter in the predictions from different galaxy catalogues. The inconsistency in age illuminates an issue in the current debate that was not obvious in the long-discussed mass models: HR–host-property models are strongly dependent on the methods employed to determine galaxy properties. While our results demonstrate the difficulty in constructing a universal model for age as a proxy for host environment, our results indeed identify evolutionary trends between mass, age, morphology, and HR values, encouraging (or requiring, if such trends are to be accounted for in cosmological studies) further investigation.

Funder

TABASGO Foundation

Miller Institute for Basic Research in Science

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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