13 citations · 13 across the 2 of their papers we have counts for
3 papers
astro-ph.IM2023
Explaining the GWSkyNet-Multi machine learning classifier predictions for gravitational-wave events
Nayyer Raza, Man Leong Chan, Daryl Haggard +5
GWSkyNet-Multi is a machine learning model developed for classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited…
astro-ph.IM2021★ 13 cited
GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts
Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira +4
Compact object mergers which produce both detectable gravitational waves and electromagnetic emission can provide valuable insights into the neutron star equation of state, the ten…
astro-ph.CO2020
Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data
M. Costanzi, A. Saro, S. Bocquet +87
We perform a joint analysis of the counts of redMaPPer clusters selected from the Dark Energy Survey (DES) Y1 data and multi-wavelength follow-up data collected within the 2500 deg…