Published October 30, 2020
| Version 0.1
Dataset
Open
Dataset: An early warning system for EM follow-up of GW events
Authors/Creators
- Sachdev, Surabhi1
- Rana SK, Javed1
- Godwin, Patrick1
- Magee, Ryan1
- Hanna, Chad1
- Cannon, Kipp2
- Singer, Leo3
- Mukherjee, Debnandini1
- Caudill, Sarah4
- Chan, Chiwai2
- Creighton, Jolien D. E.5
- Ewing, Becca1
- Fong, Heather2
- Huxford, Rachael1
- Kapadia, Shasvath6
- Li, Alvin K. Y.7
- Lo, Rico Ka Lok7
- Meacher, Duncan8
- Messick, Cody9
- Mohite, Siddharth R.8
- Nishizawa, Atsushi2
- Ohta, Hiroaki2
- Pace, Alexander1
- Reza, Amit10
- Sathyaprakash, B. S.1
- Shikauchi, Minori2
- Singh, Divya1
- Tsukada, Leo2
- Tsuna, Daichi2
- Tsutsui, Takuya2
- Ueno, Koh11
- 1. Department of Physics, The Pennsylvania State University, University Park, PA 16802, USA
- 2. The University of Tokyo, Hongo 7-3-1 Bunkyo-ku, Tokyo 113-0033, Japan
- 3. NASA/Goddard Space Flight Center, Greenbelt, MD 20771, USA
- 4. Nikhef, Science Park, 1098 XG Amsterdam, Netherlands
- 5. Leonard E. Parker Center for Gravitation, Cosmology, and Astrophysics, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA}
- 6. International Centre for Theoretical Sciences, Tata Institute of Fundamental Research, Bengaluru 560089, India
- 7. LIGO Laboratory, California Institute of Technology, MS 100-36, Pasadena, California 91125, USA
- 8. Leonard E. Parker Center for Gravitation, Cosmology, and Astrophysics, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, USA
- 9. Department of Physics, University of Texas, Austin, TX 78712, USA
- 10. Department of Physics, Indian Institute of Technology Gandhinagar, Gujarat 382355, India
- 11. he University of Tokyo, Hongo 7-3-1 Bunkyo-ku, Tokyo 113-0033, Japan
Description
Visit
https://gstlal.docs.ligo.org/ewgw-data-release/index.html
for a web version.
Notes
This work was supported by the NSF grant OAC-1841480. S.S. is supported by the
Eberly Research Funds of Penn State, The Pennsylvania State University,
University Park, Pennsylvania. D.M. acknowledges the support of NSF
PHY-1454389, ACI-1642391, and OAC-1841480. S.R.M thanks the LSSTC Data Science
Fellowship Program, which is funded by LSSTC, NSF Cybertraining Grant
#1829740, the Brinson Foundation, and the Moore Foundation; his participation
in the program has benefited this work. B.S.S. is supported in part by NSF
Grant No. PHY-1836779 and AST-1708146. Computations for this research were
performed on the Pennsylvania State University's Institute for Computational
and Data Sciences Advanced CyberInfrastructure (ICDS-ACI). We also thank the
LIGO Laboratory for use of its computing facility to make this work possible.
Files
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