The CMS Level-1 electron and photon trigger: for Run II of LHC Article Swipe
N. Dev
,
C. Jessop
,
Fanbo Meng
,
N. Marinelli
,
S. Taroni
,
F. Beaudette
,
L. Cadamuro
,
O. Davignon
,
T. Romanteau
,
T. Strebler
,
A. Zabi
,
J. B. Sauvan
,
J. Marrouche
,
N. Wardle
,
R. Aggleton
,
F. Ball
,
J. J. Brooke
,
D. M. Newbold
,
S. Paramesvaran
,
D. Smith
,
Joseph Taylor
,
M. Baber
,
A. Bundock
,
M. Citron
,
A. Elwood
,
G. Hall
,
G. Iles
,
C. Laner
,
B. Penning
,
A. Rose
,
A. Shtipliyski
,
A. Tapper
,
T. Durkin
,
K. Harder
,
S. Harper
,
R. Bainbridge
,
A. Thea
,
M. Williams
,
C. Neu
,
T. Sinthuprasith
,
F. Xia
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1748-0221/12/02/c02014
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1088/1748-0221/12/02/c02014
The Compact Muon Solenoid (CMS) employs a sophisticated two-level online triggering system that has a rejection factor of up to 105. Since the beginning of Run II of LHC, the conditions that CMS operates in have become increasingly challenging. The centre-of-mass energy is now 13 TeV and the instantaneous luminosity currently peaks at 1.5 ×1034 cm−2s−1. In order to keep low physics thresholds and to trigger efficiently in such conditions, the CMS trigger system has been upgraded. A new trigger architecture, the Time Multiplexed Trigger (TMT) has been introduced which allows the full granularity of the calorimeters to be exploited at the first level of the online trigger. The new trigger has also benefited immensely from technological improvements in hardware. Sophisticated algorithms, developed to fully exploit the advantages provided by the new hardware architecture, have been implemented. The new trigger system started taking physics data in 2016 following a commissioning period in 2015, and since then has performed extremely well. The hardware and firmware developments, electron and photon algorithms together with their performance in challenging 2016 conditions is presented.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1088/1748-0221/12/02/c02014
- https://iopscience.iop.org/article/10.1088/1748-0221/12/02/C02014/pdf
- OA Status
- hybrid
- Cited By
- 5
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2586325104
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2586325104Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1088/1748-0221/12/02/c02014Digital Object Identifier
- Title
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The CMS Level-1 electron and photon trigger: for Run II of LHCWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-02-06Full publication date if available
- Authors
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N. Dev, C. Jessop, Fanbo Meng, N. Marinelli, S. Taroni, F. Beaudette, L. Cadamuro, O. Davignon, T. Romanteau, T. Strebler, A. Zabi, J. B. Sauvan, J. Marrouche, N. Wardle, R. Aggleton, F. Ball, J. J. Brooke, D. M. Newbold, S. Paramesvaran, D. Smith, Joseph Taylor, M. Baber, A. Bundock, M. Citron, A. Elwood, G. Hall, G. Iles, C. Laner, B. Penning, A. Rose, A. Shtipliyski, A. Tapper, T. Durkin, K. Harder, S. Harper, R. Bainbridge, A. Thea, M. Williams, C. Neu, T. Sinthuprasith, F. XiaList of authors in order
- Landing page
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https://doi.org/10.1088/1748-0221/12/02/c02014Publisher landing page
- PDF URL
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https://iopscience.iop.org/article/10.1088/1748-0221/12/02/C02014/pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://iopscience.iop.org/article/10.1088/1748-0221/12/02/C02014/pdfDirect OA link when available
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Large Hadron Collider, Compact Muon Solenoid, Firmware, Granularity, Computer hardware, Computer science, Physics, Luminosity, Particle physics, Operating system, Quantum mechanics, GalaxyTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
- Citations by year (recent)
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2020: 2, 2019: 1, 2017: 2Per-year citation counts (last 5 years)
- References (count)
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5Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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