Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
---|---|---|
Article Number | 04015 | |
Number of page(s) | 8 | |
Section | Distributed Computing | |
DOI | https://doi.org/10.1051/epjconf/202429504015 | |
Published online | 06 May 2024 |
https://doi.org/10.1051/epjconf/202429504015
Computing Challenges for the Einstein Telescope project
1 Istituto Nazionale di Fisica Nucleare, Sezione di Torino, I-10125 Torino, Italy
2 European Gravitational Observatory, I-56021 Cascina (PI) Italy
3 Départment d'Astronomie, Université de Genève, Chemin Pegasi 51, CH-1290 Versoix, Switzerland
4 Gravitational Wave Science Center (GWSC), Université de Genève, 24 quai E. Ansermet, CH-1211 Geneva, Switzerland
5 Barcelona Supercomputing Center, E-08034 Barcelona ( Spain )
6 Institut für Kernphysik (IKP), Karlsruher Institut für Technologie (KIT), D-76344 EggensteinLeopoldshafen, Karlsruhe, Germany
7 Port d’Informació Científica (PIC), Campus UAB, E-08193 Bellaterra (Cerdanyola del Vallès), Spain
8 Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), E-28040 Madrid, Spain
9 Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, I-80126 Napoli, Italy
10 Département de Physique Nucléaire et Corpusculaire, Université de Genève, 24 quai E. Ansermet, CH-1211 Geneva, Switzerland
11 III. Physikalisches Institut, RWTH Aachen University, D-57024 Aachen, Germany
12 Université Catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium
13 Institute for Gravitational Research, School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom.
14 Institut de Physique des 2 Infinis de Lyon - IN2P3, Université Lyon 1, CNRS, F69622 Villeurbanne, France
* Corresponding author: stefano.bagnasco@to.infn.it
Published online: 6 May 2024
The discovery of gravitational waves, first observed in September 2015 following the merger of a binary black hole system, has already revolutionised our understanding of the Universe. This was further enhanced in August 2017, when the coalescence of a binary neutron star system was observed both with gravitational waves and a variety of electromagnetic counterparts; this joint observation marked the beginning of gravitational multimessenger astronomy. The Einstein Telescope, a proposed next-generation ground-based gravitational-wave observatory, will dramatically increase the sensitivity to sources: the number of observations of gravitational waves is expected to increase from roughly 100 per year to roughly 100’000 per year, and signals may be visible for hours at a time, given the low frequency cutoff of the planned instrument. This increase in the number of observed events, and the duration with which they are observed, is hugely beneficial to the scientific goals of the community but poses a number of significant computing challenges. Moreover, the currently used computing algorithms do not scale to this new environment, both in terms of the amount of resources required and the speed with which each signal must be characterised. This contribution will discuss the Einstein Telescope's computing challenges, and the activities that are underway to prepare for them. Available computing resources and technologies will greatly evolve in the years ahead, and those working to develop the Einstein Telescope data analysis algorithms will need to take this into account. It will also be important to factor into the initial development of the experiment's computing model the availability of huge parallel HPC systems and ubiquitous Cloud computing; the design of the model will also, for the first time, include the environmental impact as one of the optimisation metrics.
© The Authors, published by EDP Sciences, 2024
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