SkyHopper mission science case I: Identification of high redshift Gamma-Ray Bursts through space-based near-infrared afterglow observations
Matt Thomas, Michele Trenti, Jochen Greiner, Mike Skrutskie, Duncan A., Forbes, Sylvio Klose, Katherine J. Mack, Robert Mearns, Benjamin Metha,, Gianpiero Tagliaferri, Nial Tanvir, Stan Skafidas

TL;DR
This paper proposes a space-based near-infrared nano-satellite system, SkyHopper, to rapidly identify high-redshift gamma-ray bursts, significantly improving detection rates and speed over ground-based methods.
Contribution
It introduces a novel nano-satellite concept for fast, efficient high-redshift GRB identification, enhancing current observational capabilities.
Findings
Detects ~72.5% of observable GRBs within 60 minutes
Identifies 1-3 high-redshift (z>5) GRBs annually
A constellation of 3 satellites increases detection to 83%
Abstract
Long-duration gamma-ray burst (GRB) afterglow observations offer cutting-edge opportunities to characterise the star formation history of the Universe back to the epoch of reionisation, and to measure the chemical composition of interstellar and intergalactic gas through absorption spectroscopy. The main barrier to progress is the low efficiency in rapidly and confidently identifying which bursts are high redshift () candidates before they fade, as this requires low-latency follow-up observations at near-infrared wavelengths (or longer) to determine a reliable photometric redshift estimate. So far this task has been performed by instruments on the ground, but sky visibility and weather constraints limit the number of GRB targets that can be observed and the speed at which follow-up is possible. In this work we develop a Monte Carlo simulation framework to investigate an…
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