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

Kavli Affiliate: Vahe Petrosian | Summary: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 […]


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

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

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Maria Giovanna Dainotti, Elias Taira, Eric Wang, Elias Lehman, Aditya Narendra | Summary: 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 […]


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

The JCMT Transient Survey: Six-Year Summary of 450/850,$μ$m Protostellar Variability and Calibration Pipeline Version 2.0

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Steve Mairs, Seonjae Lee, Doug Johnstone, Colton Broughton, Jeong-Eun Lee | Summary: The JCMT Transient Survey has been monitoring eight Gould Belt low-mass star-forming regions since December 2015 and six somewhat more distant intermediate-mass star-forming regions since February 2020 with SCUBA-2 on the JCMT at ShortS […]


Continue.. The JCMT Transient Survey: Six-Year Summary of 450/850,$μ$m Protostellar Variability and Calibration Pipeline Version 2.0