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Bibliographic Details
Main Author: CMS Collaboration
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.16134
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author CMS Collaboration
author_facet CMS Collaboration
contents Specialized data-taking and data-processing techniques were introduced by the CMS experiment in Run 1 of the CERN LHC to enhance the sensitivity of searches for new physics and the precision of standard model measurements. These techniques, termed data scouting and data parking, extend the data-taking capabilities of CMS beyond the original design specifications. The novel data-scouting strategy trades complete event information for higher event rates, while keeping the data bandwidth within limits. Data parking involves storing a large amount of raw detector data collected by algorithms with low trigger thresholds to be processed when sufficient computational power is available to handle such data. The research program of the CMS Collaboration is greatly expanded with these techniques. The implementation, performance, and physics results obtained with data scouting and data parking in CMS over the last decade are discussed in this Report, along with new developments aimed at further improving low-mass physics sensitivity over the next years of data taking.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16134
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enriching the physics program of the CMS experiment via data scouting and data parking
CMS Collaboration
High Energy Physics - Experiment
Specialized data-taking and data-processing techniques were introduced by the CMS experiment in Run 1 of the CERN LHC to enhance the sensitivity of searches for new physics and the precision of standard model measurements. These techniques, termed data scouting and data parking, extend the data-taking capabilities of CMS beyond the original design specifications. The novel data-scouting strategy trades complete event information for higher event rates, while keeping the data bandwidth within limits. Data parking involves storing a large amount of raw detector data collected by algorithms with low trigger thresholds to be processed when sufficient computational power is available to handle such data. The research program of the CMS Collaboration is greatly expanded with these techniques. The implementation, performance, and physics results obtained with data scouting and data parking in CMS over the last decade are discussed in this Report, along with new developments aimed at further improving low-mass physics sensitivity over the next years of data taking.
title Enriching the physics program of the CMS experiment via data scouting and data parking
topic High Energy Physics - Experiment
url https://arxiv.org/abs/2403.16134