CERN Accelerating science

CMS Theses

Πρόσφατες προσθήκες:
2025-01-06
09:55
40MHz scouting at the CMS experiment / Migliorini, Matteo
Experiments at the Large Hadron Collider rely on sophisticated trigger systems to select and store a small fraction of "interesting" collision events [...]
CERN-THESIS-2024-288 - 182.


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2025-01-03
13:38
Measurement of the associated production of a W boson and a charm quark in proton-proton collisions at $\sqrt{s}=13$ TeV with the CMS detector at the LHC / Sanchez Navas, Sergio
Scientific knowledge experienced an age of explosion during the XX century, fruitful in discoveries that radically changed the perspective we had of Nature [...]
CERN-THESIS-2023-431 - 2023 - 139.


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2024-12-20
19:32
Search for exotic Higgs boson decays with CMS and fast machine learning solutions for the LHC / Tsoi, Ho Fung
There exists potential for discoveries beyond the Standard Model in scalar sector, which could manifest as Higgs boson exotic decays into new light pseudoscalars [...]
CERN-THESIS-2024-283 - 2024 - 203.


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2024-12-20
16:19
Modern deep learning for large-R jet tagging — algorithms, calibration methods, and applications in the CMS experiment / Li, Congqiao
Modern deep learning technologies have demonstrated remarkable potential in analyzing complex LHC data, accelerating foundational scientific discoveries at the LHC [...]
CERN-THESIS-2024-281 CMS TS-2025-001. - 2024 - 324.


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2024-12-20
15:05
Bulk radiation hardness and annealing studies of silicon sensors for the CMS endcap calorimeter upgrade / Muehlnikel, Marie Christin
With CERN’s HL-LHC upgrade, a significant luminosity enhancement is anticipated, that comes with numerous challenges for the accelerator and its detectors, including a substantial increase in radiation level and particle densities [...]
CERN-THESIS-2024-280 - 2024 - 106.


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2024-12-20
13:59
Anomaly Detection, Prognostics, and Diagnostics: Machine Learning for the Hadron Calorimeter at the CMS Experiment / Asres, Mulugeta Weldezgina
Machine Learning (ML) tools have gained immense popularity due to the proliferation of sensor data for monitoring, prognostic, and diagnostic applications invarious industrial domains [...]
CERN-THESIS-2024-282 CMS-TS-2024-028. - 2024 - 286.


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2024-12-19
16:43
Artificial Intelligence Algorithms for the Real-Time Selection of Physically Important Events Within the CMS L1 Trigger FPGA Devices / Burazin Misura, Arijana
The Large Hadron Collider is the largest particle accelerator in the world with the purpose ofcolliding protons accelerated to nearly the speed of light, resulting in the creation of new andexotic particles [...]
CERN-THESIS-2024-276 CMS-TS-2024-026. - 2024 - 147.


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2024-12-19
16:04
Search for new physics in the supersymmetric and neutrino sectors / Lyon, Anne-Mazarine
The success of the standard model (SM) of particle physics in describing the strong, electromagnetic, and weak fundamental interactions is considered as one of the greatest achievementsof modern physics [...]
CERN-THESIS-2024-275 CMS-TS-2024-023. - 2024 - 191.


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2024-12-19
14:50
Measurements of rare processes with top quarks and electroweak bosons in proton-proton collisions at the CMS detector / Lambrecht, Luka
Introduction This dissertation studies several rare elementary particle processes involving top quarks, in an attempt to test and challenge our current knowledge of the fundamental workings of the Universe [...]
CERN-THESIS-2024-274 - 2024 - 300.


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2024-12-17
15:39
Testing Lepton Flavour Universality: A Measurement of the $R(J/\psi)$ Ratio at CMS / Riti, Federica
This thesis presents a search for lepton flavour universality violation through semileptonic $B_c$ meson decays in the CMS experiment at the Large Hadron Collider [...]
CERN-THESIS-2024-271 CMS-TS-2024-025. - 2024 - 188.


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