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CERN Students Projects

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უკანასკნელი დამატებები:
2021-10-14
13:17
Predicting RPC efficiency using machine learning and deep learning models / Michelevicius, Mikas
The report discusses main steps of retrieving RPC (Resistive Plate Chambers) data of multiple LHC (Large Hadron Collider) runs [...]
CERN-STUDENTS-Note-2021-204. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
17:39
Wakepotentials of the CompactLight X-band and C-band LINAC / Ericson, Evan James
In this report, the transverse wakepotential of the CompactLight X-band LINAC were computed after a mesh convergence study was performed. [...]
CERN-STUDENTS-Note-2021-203. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
16:49
Pion beam optimization & Pion transport line design for parallel running of experiments / Ho, Quoc Trung
In this study we aim for optimization of pion beam acceptance of out-going particles from a magnetic horn, and later build a pion transport line with optimized beam acceptance that allows for the separation of pions and kaons, which are then directed into nuSTORM and ENUBET experiments for parallel running both of these facilities. [...]
CERN-STUDENTS-Note-2021-202. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
16:42
Identifying Dimuon Higgs Decay in Association with Top Quark Pair Using Machine Learning / Bosca, Paula Cristina (University of Toronto (CA))
Determining all measurable properties of the Higgs boson is one the ways in which we can further test the Standard Model and evaluate additional theories. [...]
CERN-STUDENTS-Note-2021-201. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
16:28
Searches for Long-Lived Decays of the Higgs Boson to Muons at ATLAS / Steinhorst, Rachel Lee
Following the discovery of the Higgs boson at the LHC in 2012, the increase in available data has allowed the focus of Higgs research to transition from basic properties of the Higgs such as its mass and spin, to measurements requiring greater statistics such as couplings of known and new particles to the Higgs, and the branching ratios of its decays. [...]
CERN-STUDENTS-Note-2021-200. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
16:04
A Machine Learning Approach to Local Energy Calibration in the ATLAS Calorimeters / Howard, Madison Ivy (University of Arizona (US))
The intention of an energy calibration scheme is to provide a calorimeter signal for physics object reconstruction in ATLAS which is calibrated outside an assumption about the type of object. [...]
CERN-STUDENTS-Note-2021-199. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
15:17
Development of a Monitoring Tool for Software Licenses / Belaid, Rayane
The purpose of this report is to present the content of my project as a summer student at CERN during the summer of 2021. [...]
CERN-STUDENTS-Note-2021-198. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-13
09:04
Deploying FTS in Kubernetes Environment / Karpatou, Panagiota Angeliki
FTS3 is the service responsible for globally distributing the majority of the LHC data across the WLCG infrastructure. [...]
CERN-STUDENTS-Note-2021-197. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-06
16:28
Trigger Studies for LHCb Upgrade 2 / Moeser, Leandra
The High Luminosity era at the LHC is expected to begin after the third Long Shutdown in 2027. [...]
CERN-STUDENTS-Note-2021-196. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2021-10-06
13:29
Water Cherenkov detector reconstruction by Generative Adversarial Neural networks / Grigolia, Giorgi
In a variety of physics experiment it can be beneficial to have targets with very large mass. [...]
CERN-STUDENTS-Note-2021-195. - 2021.
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დეტალური ჩანაწერი - მსგავსი ჩანაწერები