Determination of inter-system timing for Mini-CBM in 2020

Future operation of the CBM detector requires ultra-fast analysis of the continuous stream of data from all subdetector systems. Determining the inter-system time shifts among individual detector systems in the existing prototype experiment mCBM is an essential step for data processing and in partic...

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Main Author: Redelbach Andreas
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_04021.pdf
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spelling doaj-f645cf265d7c4e5b8b2f97a21feb25622021-08-26T09:27:33ZengEDP SciencesEPJ Web of Conferences2100-014X2021-01-012510402110.1051/epjconf/202125104021epjconf_chep2021_04021Determination of inter-system timing for Mini-CBM in 2020Redelbach AndreasFuture operation of the CBM detector requires ultra-fast analysis of the continuous stream of data from all subdetector systems. Determining the inter-system time shifts among individual detector systems in the existing prototype experiment mCBM is an essential step for data processing and in particular for stable data taking. Based on the input of raw measurements from all detector systems, the corresponding time correlations can be obtained at digital level by evaluating the differences in time stamps. If the relevant systems are stable during data taking and sufficient digital measurements are available, the distribution of time differences should display a clear peak. Up to now, the outcome of the processed time differences is stored in histograms and the maximum peak is considered, after the evaluation of all timeslices of a run leading to significant run times. The results presented here demonstrate the stability of the synchronicity of mCBM systems. Furthermore it is illustrated that relatively small amounts of raw measurements are sufficient to evaluate corresponding time correlations among individual mCBM detectors, thus enabling fast online monitoring of them in future online data processing.https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_04021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Redelbach Andreas
spellingShingle Redelbach Andreas
Determination of inter-system timing for Mini-CBM in 2020
EPJ Web of Conferences
author_facet Redelbach Andreas
author_sort Redelbach Andreas
title Determination of inter-system timing for Mini-CBM in 2020
title_short Determination of inter-system timing for Mini-CBM in 2020
title_full Determination of inter-system timing for Mini-CBM in 2020
title_fullStr Determination of inter-system timing for Mini-CBM in 2020
title_full_unstemmed Determination of inter-system timing for Mini-CBM in 2020
title_sort determination of inter-system timing for mini-cbm in 2020
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2021-01-01
description Future operation of the CBM detector requires ultra-fast analysis of the continuous stream of data from all subdetector systems. Determining the inter-system time shifts among individual detector systems in the existing prototype experiment mCBM is an essential step for data processing and in particular for stable data taking. Based on the input of raw measurements from all detector systems, the corresponding time correlations can be obtained at digital level by evaluating the differences in time stamps. If the relevant systems are stable during data taking and sufficient digital measurements are available, the distribution of time differences should display a clear peak. Up to now, the outcome of the processed time differences is stored in histograms and the maximum peak is considered, after the evaluation of all timeslices of a run leading to significant run times. The results presented here demonstrate the stability of the synchronicity of mCBM systems. Furthermore it is illustrated that relatively small amounts of raw measurements are sufficient to evaluate corresponding time correlations among individual mCBM detectors, thus enabling fast online monitoring of them in future online data processing.
url https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_04021.pdf
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