Data acquisition and on-the-fly processing from high rate detectors at MAX IV

At MAX IV, we have developed a high-performance data acquisition (DAQ) system to handle the high rate detectors exploiting the brightness of the fourth-generation source. This system integrates multiple detector types, including photon counting and charge integrating detectors as well as sCMOS cameras, into a unified DAQ framework. Data are streamed to a central Kubernetes cluster which mounts an IBM Storage Scale (GPFS) storage, with control provided via Tango. The system provides live feedback from the detectors/cameras and is furthermore extended to provide on-the-fly data reduction via the "Dranspose" framework, a horizontally scalable, distributed data analysis pipeline. We present an overview of the diverse detector suite at MAX IV and describe the components of our DAQ and processing framework, highlighting its performance for live data streaming and on-the-fly reduction with reference to several applications.

Publication Details

Journal
JACOW
Published
2025-12-05
DOI
https://doi.org/10.18429/jacow-icalepcs2025-tucg002
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data acquisition and on-the-fly processing from high rate detectors at MAX IV

JACOW
Particle Detector Development and Performance
article

Data acquisition and on-the-fly processing from high rate detectors at MAX IV

article en

Abstract

At MAX IV, we have developed a high-performance data acquisition (DAQ) system to handle the high rate detectors exploiting the brightness of the fourth-generation source. This system integrates multiple detector types, including photon counting and charge integrating detectors as well as sCMOS cameras, into a unified DAQ framework. Data are streamed to a central Kubernetes cluster which mounts an IBM Storage Scale (GPFS) storage, with control provided via Tango. The system provides live feedback from the detectors/cameras and is furthermore extended to provide on-the-fly data reduction via the "Dranspose" framework, a horizontally scalable, distributed data analysis pipeline. We present an overview of the diverse detector suite at MAX IV and describe the components of our DAQ and processing framework, highlighting its performance for live data streaming and on-the-fly reduction with reference to several applications.

JACOW
Openalex Percentile: Top 26%
Particle Detector Development and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.