Aperture-corrected spectroscopic type Ia supernova host galaxy properties

Lluís Galbany*, Mat Smith, Salvador Duarte Puertas, Santiago González-Gaitán, Ismael Pessa, Masao Sako, Jorge Iglesias-Páramo, A. R. López-Sánchez, Mercedes Mollá, José M. Vílchez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

We use type Ia supernova (SN Ia) data obtained by the Sloan Digital Sky Survey-II Supernova Survey (SDSS-II SNS) in combination with the publicly available SDSS DR16 fiber spectroscopy of supernova (SN) host galaxies to correlate SN Ia light-curve parameters and Hubble residuals with several host galaxy properties. Fixed-aperture fiber spectroscopy suffers from aperture effects: the fraction of the galaxy covered by the fiber varies depending on its projected size on the sky, and thus measured properties are not representative of the whole galaxy. The advent of integral field spectroscopy has provided a way to correct the missing light, by studying how these galaxy parameters change with the aperture size. Here we study how the standard SN host galaxy relations change once global host galaxy parameters are corrected for aperture effects. We recover previous trends on SN Hubble residuals with host galaxy properties, but we find that discarding objects with poor fiber coverage instead of correcting for aperture loss introduces biases into the sample that affect SN host galaxy relations. The net effect of applying the commonly used g-band fraction criterion is that intrinsically faint SNe Ia in high-mass galaxies are discarded, thus artificially increasing the height of the mass step by 0.02 mag and its significance. Current and next-generation fixed-aperture fiber-spectroscopy surveys, such as OzDES, DESI, or TiDES with 4MOST, that aim to study SN and galaxy correlations must consider, and correct for, these effects.

Original languageEnglish
Article numberA89
Pages (from-to)1-19
Number of pages19
JournalAstronomy and Astrophysics
Volume659
DOIs
Publication statusPublished - Mar 2022

Keywords

  • dark energy
  • galaxies: star formation
  • techniques: spectroscopic
  • supernovae: gen
  • galaxies: abundances

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