Banana Split: Improved Cosmological Constraints with Two Light-Curve-Shape and Color Populations Using Union3.1+UNITY1.8

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Authors: David Rubin, Taylor J. Hoyt, Greg Aldering, Saul Perlmutter
Cited by: 1

Abstract

SNe Ia have been used to provide key constraints on the equation-of-state parameter of dark energy. They are generally standardized under the assumption that they belong to a single population, with luminosities standardized in a continuous (roughly linear) fashion using the observed light-curve timescale. We update the Union3+UNITY1.5 SN cosmology analysis in light of increasing evidence for at least two core populations of SNe Ia and apply this "UNITY1.8" model to the updated "Union3.1" compilation (Hoyt et al. 2026). In addition to finding evidence for two different light-curve-shape (x1) distributions, we also find that the color distributions are different, that the light-curve-shape/magnitude standardization relations are different, and that these populations have different distributions across host-galaxy stellar mass and redshift. Importantly, we find that the residual host-mass luminosity step found in prior SN Ia cosmology analyses is now consistent with zero for unreddened SNe. We report a significantly tightened constraint on the split in the red-color standardization between SNe in low- and high-mass galaxies. We find that the estimated uncertainties shrink on cosmological parameters when fitting the same SNe assuming two modes versus one mode. We confirm similar trends in simulated data when running both versions of UNITY on the same (two-mode) simulations. For a flat LambdaCDM cosmology, we find Om = 0.334+0.025-0.024 from SNe alone; for a flat w0-wa cosmology, we find w0 = -0.760+0.084-0.082 and wa = -0.79+0.28-0.30 when including SNe, BAO, and CMB. In the 2D w0-wa plane, adding SNe to BAO and compressed CMB increases the tension with flat LambdaCDM from 2.1 sigma to 2.6 sigma.

Fields of Study & Subjects

Gamma-ray bursts and supernovae Neutrino Physics Research Astrophysics and Cosmic Phenomena

Publication details

Journal / source
arXiv (Cornell University)
Publication date
27 January 2026
Document type
Preprint