Research output per year
Research output per year
Ryan Magee, Deep Chatterjee, Leo P. Singer, Surabhi Sachdev, Manoj Kovalam, Geoffrey Mo, Stuart Anderson, Patrick Brady, Patrick Brockill, Kipp Cannon, Tito Dal Canton, Qi Chu, Patrick Clearwater, Alex Codoreanu, Marco Drago, Patrick Godwin, Shaon Ghosh, Giuseppe Greco, Chad Hanna, Shasvath J. Kapadia
Research output: Contribution to journal › Article › peer-review
Gravitational-wave observations became commonplace in Advanced LIGO-Virgo's recently concluded third observing run. 56 nonretracted candidates were identified and publicly announced in near real time. Gravitational waves from binary neutron star mergers, however, remain of special interest since they can be precursors to highenergy astrophysical phenomena like γ-ray bursts and kilonovae. While late-time electromagnetic emissions provide important information about the astrophysical processes within, the prompt emission along with gravitational waves uniquely reveals the extreme matter and gravity during-and in the seconds following-merger. Rapid communication of source location and properties from the gravitational-wave data is crucial to facilitate multimessenger follow-up of such sources. This is especially enabled if the partner facilities are forewarned via an early warning (pre-merger) alert. Here we describe the commissioning and performance of such a low-latency infrastructure within LIGO-Virgo. We present results from an end-to-end mock data challenge that detects binary neutron star mergers and alerts partner facilities before merger. We set expectations for these alerts in future observing runs.
Original language | English |
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Article number | L21 |
Journal | The Astrophysical Journal Letters |
Volume | 910 |
Issue number | 2 |
DOIs | |
Publication status | Published - 6 Apr 2021 |
Magee, R. (Creator), Chatterjee, D. (Creator), Singer, L. P. (Creator), Sachdev, S. (Creator), Kovalam Lakshmi Narasimha, M. (Creator), Mo, G. (Creator), Anderson, S. (Creator), Brady, P. R. (Creator), Brockill, P. (Creator), Cannon, K. (Creator), Dal Canton, T. (Creator), Chu, Q. (Creator), Clearwater, P. (Creator), Codoreanu, A. (Creator), Drago, M. (Creator), Godwin, P. (Creator), Ghosh, S. (Creator), Greco, G. (Creator), Hanna, C. (Creator) & Kapadia, S. J. (Creator), SAO/NASA Astrophysics Data System (ADS), Apr 2021
DOI: 10.3847/2041-8213/abed54, https://ui.adsabs.harvard.edu/abs/2021ApJ...910L..21M/abstract and one more link, https://ui.adsabs.harvard.edu/link_gateway/2021ApJ...910L..21M/SIMBAD (show fewer)
Dataset
Research output: Thesis › Doctoral Thesis