The rates and time-delay distribution of multiply imaged supernovae behind lensing clusters
Xue Li, Jens Hjorth, Johan Richard

TL;DR
This paper analyzes the distribution of time delays for multiply imaged supernovae behind galaxy clusters, providing a model to estimate these delays based on cluster mass and supernova rates, aiding in cosmological studies.
Contribution
It introduces a probabilistic model for time-delay distribution in lensing clusters and estimates supernova observation rates for different magnitude thresholds.
Findings
Time-delay distribution follows a power-law with slope 0.77 for delays under 1000 days.
Approximately 3% of delays are less than 1000 days for a typical cluster.
Estimated supernova rates suggest feasible observation opportunities for time delay measurements.
Abstract
Time delays of gravitationally lensed sources can be used to constrain the mass model of a deflector and determine cosmological parameters. We here present an analysis of the time-delay distribution of multiply imaged sources behind 17 strong lensing galaxy clusters with well-calibrated mass models. We find that for time delays less than 1000 days, at z=3.0, their logarithmic probability distribution functions are well represented by P (log \Delta t)=5.3 x 10^-4 \Delta t^\beta M_250^-2\beta, with \beta=0.77, where M_250 is the projected cluster mass inside 250 kpc (in 10^14 M_sun), and \beta is the power-law slope of the distribution. The resultant probability distribution function enables us to estimate the time-delay distribution in a lensing cluster of known mass. For a cluster with M_250=2 x 10^14 M_sun, the fraction of time delays less than 1000 days is approximately 3%. Taking…
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