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Data reduction activities at European XFEL: early results

Data reduction activities at European XFEL: early results
Data reduction activities at European XFEL: early results
The European XFEL is a megahertz repetition-rate facility producing extremely bright and coherent pulses of a few tens of femtoseconds duration. The amount of data generated in the context of user experiments can exceed hundreds of gigabits per second, resulting in tens of petabytes stored every year. These rates and volumes pose significant challenges both for facilities and users thereof. In fact, if unaddressed, extraction and interpretation of scientific content will be hindered, and investment and operational costs will quickly become unsustainable. In this article, we outline challenges and solutions in data reduction.
0429-7725
Sobolev, Egor
6ad4f092-a61d-47d9-b70d-11bf237d1258
Schmidt, Philipp
f567aff8-6177-4ae2-9bfe-6e394d90d124
Malka, Janusz
2aaf5f1b-3648-4523-99d9-17c514c5f556
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160
et al.
Sobolev, Egor
6ad4f092-a61d-47d9-b70d-11bf237d1258
Schmidt, Philipp
f567aff8-6177-4ae2-9bfe-6e394d90d124
Malka, Janusz
2aaf5f1b-3648-4523-99d9-17c514c5f556
Fangohr, Hans
9b7cfab9-d5dc-45dc-947c-2eba5c81a160

Sobolev, Egor, Schmidt, Philipp and Malka, Janusz , et al. (2024) Data reduction activities at European XFEL: early results. Frontiers in Physics, 12, [1331329]. (doi:10.3389/fphy.2024.1331329).

Record type: Article

Abstract

The European XFEL is a megahertz repetition-rate facility producing extremely bright and coherent pulses of a few tens of femtoseconds duration. The amount of data generated in the context of user experiments can exceed hundreds of gigabits per second, resulting in tens of petabytes stored every year. These rates and volumes pose significant challenges both for facilities and users thereof. In fact, if unaddressed, extraction and interpretation of scientific content will be hindered, and investment and operational costs will quickly become unsustainable. In this article, we outline challenges and solutions in data reduction.

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Accepted/In Press date: 6 February 2024
Published date: 27 February 2024

Identifiers

Local EPrints ID: 508476
URI: http://eprints.soton.ac.uk/id/eprint/508476
ISSN: 0429-7725
PURE UUID: ce5f8837-c6da-46b0-a0a7-4e7ee9e28f9b
ORCID for Hans Fangohr: ORCID iD orcid.org/0000-0001-5494-7193

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Date deposited: 23 Jan 2026 17:32
Last modified: 24 Jan 2026 02:39

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Contributors

Author: Egor Sobolev
Author: Philipp Schmidt
Author: Janusz Malka
Author: Hans Fangohr ORCID iD
Corporate Author: et al.

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