| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 04022 | |
| Number of page(s) | 8 | |
| Section | Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429504022 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429504022
Gravitational wave alert generation infrastructure on your laptop
1 INFN Torino, Via Pietro Giuria 1, 10125 Torino, Italy
2 INFN gruppo collegato di Parma and Universià di Parma, 43124 PARMA, Italy
3 European Gravitational Observatory (EGO), I-56021 Cascina, Pisa, Italy
4 Université Paris Cité, CNRS, AstroParticule et Cosmologie, F-75013 Paris, France
5 INFN Sezione di Pisa, L.go B. Pontecorvo 3, 56127 Pisa, Italy
* Corresponding author: sara.vallero@to.infn.it
Published online: 6 May 2024
Multi-messenger astrophysics provides valuable insights into the properties of the physical Universe. These insights arise from the complementary information carried by photons, gravitational waves, neutrinos and cosmic rays about individual cosmic sources and source populations. When a gravitational wave (GW) candidate is identified by the Ligo, Virgo and Kagra (LVK) observatory network, an alert is sent to astronomers in order to search for electromagnetic or neutrino counterparts. The current LVK framework for alert generation consists of the Gravitational-Wave Candidate Event Database (GraceDB), which provides a centralized location for aggregating and retrieving information about candidate GW events, the SCiMMA Hopskotch server (a publishsubscribe messaging system) and GWCelery (a package for annotating and orchestrating alerts). The first two services are deployed in the Cloud (Amazon Web Services), while the latter runs on dedicated physical resources. In this work, we propose a deployment strategy for the alert generation framework as a whole, based on Kubernetes. We present a set of tools (in the form of Helm charts, Python packages and scripts) which conveniently allows running a parallel deployment of the complete infrastructure in a private Cloud for scientific computing (the Cloud at CNAF, INFN Tier-1 Computing Centre), which is currently used for integration tests. As an outcome of this work, we deliver to the community a specific configuration option for a sandboxed deployment on Minikube, which can be used to test the integration of other components (i.e. the lowlatency pipelines for the detection of the GW candidate) with the alert generation infrastructure in an isolated local environment.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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