Rates and delay times of Type Ia supernovae in the helium-enriched main-sequence donor scenario

Abstract

The nature of the progenitors of Type Ia supernovae (SNe Ia) remains a mystery. Comparing theoretical rates and delay-time distributions of SNe Ia with those inferred observationally can constrain their progenitor models. In this work, taking thermohaline mixing into account in the helium-enriched main-sequence (HEMS) donor scenario, we address rates and delay times of SNe Ia in this channel by combining the results of self-consistent binary evolution calculations with population synthesis models. We find that the Galactic SN Ia rate from the HEMS donor scenario is around 0.6-1.2 per century, which is about 30% of the observed rate. Delay times of SNe Ia in this scenario cover a wide range of 0.1-1.0 Gyr. We also present the pre-explosion properties of companion stars in the HEMS donor scenario, which will be helpful for placing constraints on SN Ia progenitors through analyzing their pre-explosion images.

11 pages, 8 figures, Accepted for publication in MNRAS

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Cited by in corpus (11)

• Type Ia Supernova Explosions in Binary Systems: A Review
• The Physics of Star Cluster Formation and Evolution
• Binary Stars in the New Millennium
• Long-term evolution of surviving companion stars of Type Iax supernovae
• Signatures of a surviving helium-star companion in Type Ia supernovae and constraints on the progenitor companion of SN 2011fe
• Type Ia supernova ejecta-donor interaction: explosion model comparison
• A closer look at non-interacting He stars as a channel for producing the old population of Type Ia supernovae
• Long-term evolution of post-explosion Helium-star Companions of Type Iax Supernovae
• A robust model for the origin of optical quasi-periodic variability in supersoft X-ray sources
• Producing type Ia supernovae from hybrid CONe white dwarfs with main-sequence binary companions at low metallicity of Z = 0.0001
• On the rotation properties of a post-explosion helium-star companion in Type Iax supernovae