activity
20042017
most citedThe LIGO Open Science Center

277 citations · 461 across the 9 of their papers we have counts for

collaborators

9 papers

gr-qc2017★ 7 cited

All-sky Search for Periodic Gravitational Waves in the O1 LIGO Data

LIGO Scientific Collaboration, Virgo Collaboration, B. P. Abbott +1042

We report on an all-sky search for periodic gravitational waves in the frequency band 20-475 Hz and with a frequency time derivative in the range of [-1.0, +0.1]e-8 Hz/s. Such a si…

gr-qc2014★ 277 cited

The LIGO Open Science Center

Michele Vallisneri, Jonah Kanner, Roy Williams +2

The LIGO Open Science Center (LOSC) fulfills LIGO's commitment to release, archive, and serve LIGO data in a broadly accessible way to the scientific community and to the public, a…

astro-ph.GA2013★ 112 cited

Evidence for a Milky Way Tidal Stream Reaching Beyond 100 kpc

A. J. Drake, M. Catelan, S. G. Djorgovski +9

We present the analysis of 1,207 RR Lyrae found in photometry taken by the Catalina Survey's Mount Lemmon telescope. By combining accurate distances for these stars with measuremen…

astro-ph.IM2011★ 3 cited

Exploring the Time Domain With Synoptic Sky Surveys

S. G. Djorgovski, A. A. Mahabal, A. J. Drake +3

Synoptic sky surveys are becoming the largest data generators in astronomy, and they are opening a new research frontier, that touches essentially every field of astronomy. Opening…

astro-ph.CO2009★ 23 cited

Highly Variable Objects in the Palomar-QUEST Survey: A Blazar Search using Optical Variability

Anne Bauer, Charles Baltay, Paolo Coppi +11

We identify 3,113 highly variable objects in 7,200 square degrees of the Palomar-QUEST Survey, which each varied by more than 0.4 magnitudes simultaneously in two broadband optical…

astro-ph.IM2009★ 6 cited

Skyalert: Real-time Astronomy for You and Your Robots

R. D. Williams, S. G. Djorgovski, A. J. Drake +2

Skyalert.org is a web application to collect and disseminate observations about time-critical astronomical transients, and to add annotations and intelligent machine-learning to th…