Journal Article

PUBDB-2023-05320

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Data reduction and processing for photon science detectors

Pennicard, D. (Corresponding author)CFEL*DESY* ; Rahmani, V.CFEL*DESY* ; Graafsma, H.CFEL*XFEL.EU*DESY*

2024
Frontiers Media Lausanne

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Please use a persistent id in citations: doi:10.3389/fphy.2024.1285854  doi:10.3204/PUBDB-2023-05320

Abstract: New detectors in photon science experiments produce rapidly-growing volumes of data. For detector developers, this poses two challenges; firstly, raw data streams from detectors must be converted to meaningful images at ever-higher rates, and secondly, there is an increasing need for data reduction relatively early in the data processing chain. An overview of data correction and reduction is presented, with an emphasis on how different data reduction methods apply to different experiments in photon science. These methods can be implemented in different hardware (e.g. CPU, GPU or FPGA) and in different stages of a detector's data acquisition (DAQ) chain; the strengths and weaknesses of these different approaches are discussed.

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Contributing Institute(s):

1. FS-Detektor Systeme (FS-DS)

Research Program(s):

1. 622 - Detector Technologies and Systems (POF4-622) (POF4-622)
2. InternLabs-0011 - HIR3X - Helmholtz International Laboratory on Reliability, Repetition, Results at the most advanced X-ray Sources (2020_InternLabs-0011) (2020_InternLabs-0011)
3. LEAPS-INNOV - LEAPS pilot to foster open innovation for accelerator-based light sources in Europe (101004728) (101004728)

Experiment(s):

1. No specific instrument

Appears in the scientific report 2024

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