Free-Streaming Online Tracking in CBM

A free-streaming track reconstruction method has been developed for the CBM experiment at GSI. As a reconstruction core, it uses the existing singleevent tracking based on the Cellular Automaton, but the approach to the freestreaming tracking is generic and can be can be used with various core algorithms without modification. The method processes free-streaming data by manipulating the data at the input and output of the tracking core, leaving the reconstruction core unchanged. Data is fed into the tracking algorithm in small portions in a special way that avoids any track merging between the portions. A novel algorithm enables reading data portions without explicit time sorting, ensuring efficient processing. The approach has been validated on simulated data at collision rates up to 10 MHz and was successfully applied online for the mCBM test setup during the March 2024 and February 2025 data-taking campaigns.

Authors

Institutions

Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701291
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Free-Streaming Online Tracking in CBM

Valentina Akishina, Sergey Gorbunov, Sergei Zharko
EPJ Web of Conferences
Privacy-Preserving Technologies in Data
article

Free-Streaming Online Tracking in CBM

Valentina Akishina, Sergey Gorbunov, Sergei Zharko
article en

Abstract

A free-streaming track reconstruction method has been developed for the CBM experiment at GSI. As a reconstruction core, it uses the existing singleevent tracking based on the Cellular Automaton, but the approach to the freestreaming tracking is generic and can be can be used with various core algorithms without modification. The method processes free-streaming data by manipulating the data at the input and output of the tracking core, leaving the reconstruction core unchanged. Data is fed into the tracking algorithm in small portions in a special way that avoids any track merging between the portions. A novel algorithm enables reading data portions without explicit time sorting, ensuring efficient processing. The approach has been validated on simulated data at collision rates up to 10 MHz and was successfully applied online for the mCBM test setup during the March 2024 and February 2025 data-taking campaigns.

EPJ Web of ConferencesVol. 337
Goethe University Frankfurt (DE), GSI Helmholtz Centre for Heavy Ion Research (DE), Frankfurt Institute for Advanced Studies (DE)
Openalex Percentile: Top 85%
Privacy-Preserving Technologies in Data
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.