Couvares, Peter and Bird, Ian and Porter, Ed and Bagnasco, Stefano and Lovelace, Geoffrey and Willis, J. and Punturo, Michele and Reitze, David and Katsanevas, Stavros and Kajita, Takaaki and Kalogera, Vicky and Lueck, Harald and McClelland, David and Rowan, Sheila and Sanders, Gary and Sathyaprakash, B. S. and Shoemaker, David and van den Brand, Jo (2021) Gravitational Wave Data Analysis: Computing Challenges in the 3G Era. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20220322-205039404
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Abstract
Cyber infrastructure will be a critical consideration in the development of next generation gravitational-wave detectors. The dCyber infrastructure will be a critical consideration in the development of next generation gravitational-wave detectors. The demand for data analysis computing in the 3G era will be driven by the high number of detections as well as the expanded search parameter space for compact astrophysical objects and the subsequent parameter estimation follow-up required to extract the nature of the sources. Additionally, there will be an increased need to develop appropriate and scalable computing cyberinfrastructure, including data access and transfer protocols, and storage and management of software tools, that have sustainable development, support, and management processes. This report identifies the major challenges and opportunities facing 3G gravitational-wave observatories and presents recommendations for addressing them. This report is the fourth in a six part series of reports by the GWIC 3G Subcommittee: i) Expanding the Reach of Gravitational Wave Observatories to the Edge of the Universe, ii) The Next Generation Global Gravitational Wave Observatory: The Science Book, iii) 3G R&D: R&D for the Next Generation of Ground-based Gravitational Wave Detectors, iv) Gravitational Wave Data Analysis: Computing Challenges in the 3G Era (this report), v) Future Ground-based Gravitational-wave Observatories: Synergies with Other Scientific Communities, and vi) An Exploration of Possible Governance Models for the Future Global Gravitational-Wave Observatory Network.emand for data analysis computing in the 3G era will be driven by the high number of detections as well as the expanded search parameter space for compact astrophysical objects and the subsequent parameter estimation follow-up required to extract the nature of the sources. Additionally, there will be an increased need to develop appropriate and scalable computing cyberinfrastructure, including data access and transfer protocols, and storage and management of software tools, that have sustainable development, support, and management processes. This report identifies the major challenges and opportunities facing 3G gravitational-wave observatories and presents recommendations for addressing them. This report is the fourth in a six part series of reports by the GWIC 3G Subcommittee: i) Expanding the Reach of Gravitational Wave Observatories to the Edge of the Universe, ii) The Next Generation Global Gravitational Wave Observatory: The Science Book, iii) 3G R&D: R&D for the Next Generation of Ground-based Gravitational Wave Detectors, iv) Gravitational Wave Data Analysis: Computing Challenges in the 3G Era (this report), v) Future Ground-based Gravitational-wave Observatories: Synergies with Other Scientific Communities, and vi) An Exploration of Possible Governance Models for the Future Global Gravitational-Wave Observatory Network.
Item Type: | Report or Paper (Discussion Paper) | ||||||||||||||||||||||||||
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Additional Information: | Attribution 4.0 International (CC BY 4.0). The demand for data analysis computing in the 3G era will be driven by the high number of detections (up to hundreds per day), the expanded search parameter space (0.1 solar masses to 1000+ solar masses) and the subsequent parameter estimation (PE) follow-up required to extract the optimal science. Given that GW signals may be visible for hours or days in a 3G detector (as opposed to seconds to minutes in the 2G era), their waveforms may exceed physical memory limits on individual computing resources. On top of this, as the 3G network will be an international effort, there will be an increased need to develop appropriate and scalable computing cyberinfrastructure, including data access and transfer protocols, and storage and management of software tools, that have sustainable development, support and management processes. | ||||||||||||||||||||||||||
Group: | LIGO | ||||||||||||||||||||||||||
Record Number: | CaltechAUTHORS:20220322-205039404 | ||||||||||||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20220322-205039404 | ||||||||||||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||||||||||||
ID Code: | 113989 | ||||||||||||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||||||||||||
Deposited By: | George Porter | ||||||||||||||||||||||||||
Deposited On: | 23 Mar 2022 14:46 | ||||||||||||||||||||||||||
Last Modified: | 23 Mar 2022 14:46 |
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