196 citations · 1.5k across the 25 of their papers we have counts for
4 papers · 1 filter
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
Itamar Reis, Dalya Baron, Sahar Shahaf
Machine learning (ML) algorithms become increasingly important in the analysis of astronomical data. However, since most ML algorithms are not designed to take data uncertainties i…
Discovering AGN-driven winds through their infrared emission: I. General method and wind location
Dalya Baron, Hagai Netzer
Large scale outflows of different gas phases are ubiquitous in the host galaxies of active galactic nuclei (AGN). Despite their many differences, they share a common property - the…
Direct evidence of AGN-feedback: a post starburst galaxy stripped of its gas by AGN-driven winds
Dalya Baron, Hagai Netzer, J. Xavier Prochaska +7
Post starburst E+A galaxies show indications of a powerful starburst that was quenched abruptly. Their disturbed, bulge-dominated morphologies suggest that they are merger remnants…
On the limitations of statistical absorption studies with the Sloan Digital Sky Surveys I--III
Ting-Wen Lan, Brice Ménard, Dalya Baron +4
We investigate the limitations of statistical absorption measurements with the SDSS optical spectroscopic surveys. We show that changes in the data reduction strategy throughout di…