How the Monte Carlo production of a wide variety of different samples is centrally handled in the LHCb experiment Article Swipe
G. Corti
,
Ph. Charpentier
,
M. Clemencic
,
J. Closier
,
B. Couturier
,
M. Kreps
,
Z. Máthé
,
David Hanlon
,
P. Robbe
,
V. Romanovsky
,
F. Stagni
,
A. Zhelezov
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/664/7/072014
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1088/1742-6596/664/7/072014
In the LHCb experiment a wide variety of Monte Carlo simulated samples needs to be produced for the experiment's physics program. Monte Carlo productions are handled centrally similarly to all massive processing of data in the experiment. In order to cope with the large set of different types of simulation samples, necessary procedures based on common infrastructures have been set up with a numerical event type identification code used throughout. The various elements in the procedure, from writing a configuration for an event type to deploying them on the production environment, from submitting and processing a request to retrieving the sample produced as well as the conventions established to allow their interplay will be described. The choices made have allowed a high level of automation of Monte Carlo productions that are handled centrally in a transparent way with experts concentrating on their specific tasks. As a result the massive Monte Carlo production of the experiment is efficiently processed on a world-wide distributed system with minimal manpower.
Related Topics
Concepts
Monte Carlo method
Computer science
Automation
Variety (cybernetics)
Set (abstract data type)
Production (economics)
Event (particle physics)
Sample (material)
Engineering
Artificial intelligence
Mathematics
Physics
Statistics
Programming language
Quantum mechanics
Thermodynamics
Economics
Macroeconomics
Mechanical engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/664/7/072014
- https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072014/pdf
- OA Status
- diamond
- Cited By
- 3
- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2255600239
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2255600239Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1742-6596/664/7/072014Digital Object Identifier
- Title
-
How the Monte Carlo production of a wide variety of different samples is centrally handled in the LHCb experimentWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2015Year of publication
- Publication date
-
2015-12-23Full publication date if available
- Authors
-
G. Corti, Ph. Charpentier, M. Clemencic, J. Closier, B. Couturier, M. Kreps, Z. Máthé, David Hanlon, P. Robbe, V. Romanovsky, F. Stagni, A. ZhelezovList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/664/7/072014Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072014/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072014/pdfDirect OA link when available
- Concepts
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Monte Carlo method, Computer science, Automation, Variety (cybernetics), Set (abstract data type), Production (economics), Event (particle physics), Sample (material), Engineering, Artificial intelligence, Mathematics, Physics, Statistics, Programming language, Quantum mechanics, Thermodynamics, Economics, Macroeconomics, Mechanical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2021: 1, 2018: 1Per-year citation counts (last 5 years)
- References (count)
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13Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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