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CMS Theses

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2023-05-30
13:34
Research and Development for the Data, Trigger and Control Card in Preparation for Hi-Lumi LHC / Monk, David Gabriel
When the Large Hadron Collider (LHC) increases its luminosity by an order of magnitude in the coming decade, the experiments that sit upon it must also be upgraded to continue to their physics performance in the increasingly demanding environment [...]
CERN-THESIS-2022-359 CMS-TS-2023-008. - 2023. - 206 p.


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2023-05-28
12:00
Searching for Unexpected New Physics at the LHC with Machine Learning / Grosso, Gaia
New Physics Learning Machine (NPLM) is a machine-learning based strategy to detect data departures from a Reference hypothesis (the Standard Model), with no prior bias on the source of the discrepancy responsible for it [...]
CERN-THESIS-2023-055 - 266 p.


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2023-05-23
17:30
Search for New Physics in Vector Boson-mediated Electroweak processes with the CMS Experiment at LHC / Piccinelli, Andrea
CERN-THESIS-2023-054 -


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2023-05-08
14:49
A Search for Leptoquarks Coupling to $\tau$ Leptons and Bottom Quarks in Proton-Proton Collisions at the CMS Experiment / Neutelings, Izaak
Despite the many remarkable successes of the Standard Model (SM) of particle physics, there are both theoretical and experimental reasons that imply the SM is not the final and most fundamental theory of nature [...]
CERN-THESIS-2022-353 CMS-TS-2023-007. - 180 p.


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2023-05-07
14:11
Data‐driven background modelling and trigger algorithms for compressed supersymmetry searches with the CMS experiment at the LHC / Zarucki, Mateusz
Supersymmetry (SUSY) is a highly motivated theory that can provide solutions to central issues and open questions of the standard model (SM) of particle physics [...]
CERN-THESIS-2023-047 - 324 p.


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2023-04-28
16:54
Search for Dark Matter produced in association with Monotop in the fully leptonic channel in proton-proton collisions at 13 TeV with the Compact Muon Soleniod experiment / Uniyal, Rishabh
A search for dark matter has been performed using the monotop model, with the dark matter signature in the form of large missing energy, presence of a b-tagged jet and an isolated lepton (electron and muon) [...]
CERN-THESIS-2023-042 - 162 p.


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2023-04-27
10:05
The BEST Thesis: The Boosted Event Shape Tagger, A Search for Vector-like Quarks, and A Real GEM in CMS / Regnery, Brendan
This thesis is a collection of three topics that take place at the Compact Muon Solenoid experiment---a particle detector which observes proton-proton collisions at CERN's Large Hadron Collider [...]
CERN-THESIS-2023-040 - 250 p.


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2023-04-22
18:21
Measurement of inclusive and differential cross sections for single top quark production in association with a W boson in proton-proton collisions at $\sqrt{s}= 13 \text{ TeV}$ / Rodriguez Bouza, Victor
The main objective of this thesis is the study of the production of a top quark in association with a W boson (tW proccess) using proton-proton collision data collected by the CMS experiment at the LHC during Run 2 at a centre-of-mass energy of $\sqrt{s} = 13\text{ TeV}$ and corresponding to a total [...]
CERN-THESIS-2023-037 - 199 p.


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2023-04-18
17:28
Scalable FPGA-based controller of a thousand-ASIC system in the CERN CMS HGCAL detector / Duarte Rosado, Pedro Martim
The upcoming of the European Organization for Nuclear Research (CERN) High-Luminosity LargeHadron Collider (LHC) (HL-LHC) phase motivates the replacement of the endcap calorimeters of theCompact Muon Solenoid (CMS) detector with the High-Granularity Calorimeter (HGCAL) [...]
CERN-THESIS-2022-344 CMS-TS-2023-006. - 2023. - 97 p.


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2023-04-18
17:23
Measurement of the $\text{t}\overline{\text{t}}\text{H}$($\text{b} \overline{\text{b}}$) process in the dilepton final state with machine learning techniques at the CMS experiment / Giraldi, Angela
This thesis presents the first measurement of the associated production of a Higgs boson and a top-quark-antiquark pair (ttH) in final states with two leptons and where the Higgs boson decays into a bottom-quark-antiquark pair (H ! bb) [...]
CERN-THESIS-2023-036 CMS-TS-2023-005. - 351 p.


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