120 citations · 453 across the 18 of their papers we have counts for
6 papers · 1 filter
Identifying and Repairing Catastrophic Errors in Galaxy Properties Using Dimensionality Reduction
Beryl Hovis-Afflerbach, Charles L. Steinhardt, Daniel Masters +1
Our understanding of galaxy evolution is derived from large surveys designed to maximize efficiency by only observing the minimum amount needed to infer properties for a typical ga…
Spectroscopic classification of a complete sample of astrometrically-selected quasar candidates using Gaia DR2
K. E. Heintz, J. P. U. Fynbo, S. J. Geier +20
Here we explore the efficiency and fidelity of a purely astrometric selection of quasars as point sources with zero proper motions in the {\it Gaia} data release 2 (DR2). We have b…
An Unambiguous Separation of Gamma-Ray Bursts into Two Classes from Prompt Emission Alone
Christian K. Jespersen, Johann B. Severin, Charles L. Steinhardt +4
The duration of a gamma-ray burst (GRB) is a key indicator of its physics origin, with long bursts perhaps associated with the collapse of massive stars and short bursts with merge…
Effects of Supernova Redshift Uncertainties on the Determination of Cosmological Parameters
Charles L. Steinhardt, Albert Sneppen, Bidisha Sen
Redshifts used in current cosmological supernova samples are measured using two primary techniques, one based on well-measured host galaxy spectral lines and the other based on sup…
A Method to Distinguish Quiescent and Dusty Star-forming Galaxies with Machine Learning
Charles L. Steinhardt, John R. Weaver, Jack Maxfield +5
Large photometric surveys provide a rich source of observations of quiescent galaxies, including a surprisingly large population at z>1. However, identifying large, but clean, samp…
The BUFFALO HST Survey
Charles L. Steinhardt, Mathilde Jauzac, Ana Acebron +91
The Beyond Ultra-deep Frontier Fields and Legacy Observations (BUFFALO) is a 101 orbit + 101 parallel Cycle 25 Hubble Space Telescope Treasury program taking data from 2018-2020. B…