Rapid identification of lensed type Ia supernovae with color-magnitude selection
Prajakta Mane, Anupreeta More, Surhud More

TL;DR
This paper develops a color-magnitude selection method to efficiently identify strongly lensed type Ia supernovae in large survey data, aiding cosmological studies and addressing the Hubble tension.
Contribution
It extends previous work by simulating LSST-like data and proposing a refined color-magnitude criterion to distinguish lensed SNe Ia from unlensed and other supernovae types.
Findings
Lensed SNe Ia are redder at a given magnitude than unlensed ones.
The selection criterion effectively reduces contamination from unlensed core-collapse SNe.
The method successfully identifies known lensed SNe and distinguishes them from other supernovae.
Abstract
Strongly lensed type Ia supernovae (SNe Ia) provide a unique cosmological probe to address the Hubble tension problem in cosmology. In addition to the sensitivity of the time delays to the value of the Hubble constant, the transient and standard candle nature of SNe Ia also enable valuable joint constraints on the model of the lens and the cosmological parameters. The upcoming Legacy Survey of Space and Time (LSST) with the Vera C. Rubin Observatory is expected to increase the number of observed SNe Ia by an order of magnitude in ten years of its lifetime. However, finding such systems in the LSST data is a challenge. In this work, we revisit the color-magnitude (CM) diagram used previously as a means to identify lensed SNe Ia and extend the work further as follows. We simulate LSST-like photometric data (-bands) of lensed SNe Ia and analyze it in the CM parameter space. We find…
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