Inferring the redshift of more than 150 GRBs with a Machine Learning Ensemble model

Understand

Gamma-Ray Bursts (GRBs), due to their high luminosities are detected up to redshift 10, and thus have the potential to be vital cosmological probes of early processes in the universe.

• Fulfilling this potential requires a large sample of GRBs with known redshifts, but due to observational limitations, only 11\% have known redshifts ($z$).
• There have been numerous attempts to estimate redshifts via correlation studies, most of which have led to inaccurate predictions.
• To overcome this, we estimated GRB redshift via an ensemble supervised machine learning model that uses X-ray afterglows of long-duration GRBs observed by the Neil Gehrels Swift Observatory.