activity
20142022
most citedThe Sloan Digital Sky Survey Reverberation Mapping Project: H and H Reverberation Measurements From First-year Spectroscopy and Photometry

225 citations · 674 across the 7 of their papers we have counts for

collaborators

9 papers

astro-ph.IM2022★ 2 cited

A Method for Quantifying Position Reconstruction Uncertainty in Astroparticle Physics using Bayesian Networks

Christina Peters, Aaron Higuera, Shixiao Liang +4

Robust position reconstruction is paramount for enabling discoveries in astroparticle physics as backgrounds are significantly reduced by only considering interactions within the f…

hep-ex2021★ 5 cited

Domain-informed neural networks for interaction localization within astroparticle experiments

Shixiao Liang, Aaron Higuera, Christina Peters +4

This work proposes a domain-informed neural network architecture for experimental particle physics, using particle interaction localization with the time-projection chamber (TPC) t…

astro-ph.HE2019★ 147 cited

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)

R. Kessler, G. Narayan, A. Avelino +26

We describe the simulated data sample for the "Photometric LSST Astronomical Time Series Classification Challenge" (PLAsTiCC), a publicly available challenge to classify transient…

astro-ph.IM2018★ 25 cited

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals

A. I. Malz, R. Hložek, T. Allam +22

Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. Ho…

astro-ph.GA2017★ 225 cited

The Sloan Digital Sky Survey Reverberation Mapping Project: H and H Reverberation Measurements From First-year Spectroscopy and Photometry

C. J. Grier, J. R. Trump, Yue Shen +39

We present reverberation mapping results from the first year of combined spectroscopic and photometric observations of the Sloan Digital Sky Survey Reverberation Mapping Project. W…

astro-ph.IM2017

Science-Driven Optimization of the LSST Observing Strategy

LSST Science Collaboration, Phil Marshall, Timo Anguita +102

The Large Synoptic Survey Telescope is designed to provide an unprecedented optical imaging dataset that will support investigations of our Solar System, Galaxy and Universe, acros…

astro-ph.GA2015

Quasar Classification Using Color and Variability

Christina M. Peters, Gordon T. Richards, Adam D. Myers +6

We conduct a pilot investigation to determine the optimal combination of color and variability information to identify quasars in current and future multi-epoch optical surveys. We…

astro-ph.GA2015★ 66 cited

Bayesian High-Redshift Quasar Classification from Optical and Mid-IR Photometry

Gordon T. Richards, Adam D. Myers, Christina M. Peters +9

We identify 885,503 type 1 quasar candidates to i<22 using the combination of optical and mid-IR photometry. Optical photometry is taken from the Sloan Digital Sky Survey-III: Bary…

astro-ph.IM2014★ 204 cited

The Sloan Digital Sky Survey Reverberation Mapping Project: Technical Overview

Yue Shen, W. N. Brandt, Kyle S. Dawson +36

The Sloan Digital Sky Survey Reverberation Mapping project (SDSS-RM) is a dedicated multi-object RM experiment that has spectroscopically monitored a sample of 849 broad-line quasa…