SN Ia Population Machine. I. A Unified Cosmological Simulation-Binary Synthesis Framework Establishing Non-universal Delay-time Distributions and Cosmic Progenitor-channel Dominance Crossover
Suk-Jin Yoon, Inhyuk Park, Woong-Bae G. Zee, Chul Chung, Jun-Sung Moon, Sanjaya Paudel, Kiyun Yun, Myung-Hun Kim, and Eun-Taek Gim

TL;DR
This framework couples cosmological simulations with binary synthesis to model Type Ia supernova populations, revealing non-universal delay-time distributions and a shift in progenitor dominance over cosmic time.
Contribution
It introduces a self-consistent pipeline linking galaxy-scale simulations to SN Ia progenitor modeling, highlighting the non-universality of delay-time distributions and a redshift-dependent progenitor channel crossover.
Findings
Delay-time distributions depend on progenitor channel and metallicity.
Progenitor dominance shifts from single- to double-degenerate around z=0.5.
Redshift evolution affects SN Ia luminosity systematics.
Abstract
We present a forward-modeling framework for synthesizing Type Ia supernova (SN Ia) populations by coupling cosmological hydrodynamic simulations to binary population synthesis (BPS). Using IllustrisTNG star particles as simple stellar populations, we generate binaries and evolve them with COMPAS to produce synthetic SNe Ia tagged with explosion times and progenitor channels (single- and double-degenerate; SD and DD). This cosmology-BPS pipeline enables self-consistent, end-to-end tracking of SN Ia populations from individual galaxies to cosmic scales. The model reproduces key SN-related observables, including host-galaxy demographics, delay-time distributions (DTDs), SN-rate trends with host properties and redshift, and a progenitor-age 'step' implicated by the mass step in Hubble residuals. Our main findings are as follows. (1) Contrary to the standard assumption, DTDs appear…
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