CERN Accelerating science

IT Theses

უკანასკნელი დამატებები:
2024-07-04
11:19
A novel approach for real-time identification of hadronic final states at the High-Luminosity LHC. / Zaio, Alessandro
The trigger system of the ATLAS experiment is responsible for the real-time reconstruction of data produced by the collisions produced at the Large Hadron Collider (LHC) [...]
CERN-THESIS-2023-400 -


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2024-04-29
09:05
Searches for New Physics in Top-Antitop Associated Production Processes and Mechanical Design and Thermal Performance of the CMS Inner Tracker Endcap Pixel Upgrade / Liechti, Sascha Pascal
Three analyses in top-antitop associated production processes are presented [...]
CERN-THESIS-2024-043 - https://www.zora.uzh.ch/id/eprint/259335/ : ZORA, 2024-04-24. - 151 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2024-04-24
17:23
Studio di risonanze in stati finali in due leptoni nell’esperimento ATLAS al Large Hadron Collider / Rambelli, Lucrezia
CERN-THESIS-2019-448 - 61 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2024-04-24
15:19
Novel algorithms based on AI acceleration for the High Level Trigger of the ATLAS experiment / Rambelli, Lucrezia
CERN-THESIS-2021-379 - 78 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2024-02-13
11:36
The Evolution of Software Technologies to Support Large Distributed Data Acquisition Systems / Jones, Bob
A study of software technologies for the control and configuration of data acquisition systems for high energy physics experiments is presented [...]
CERN-THESIS-97-019 - 184 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-11-13
10:51
Introduction to Directory Services / Heuse, Bernard
The Directory has grown to be an important OSI application as it acts as a focal point and general support for a number of other applications [...]
CERN-THESIS-88-001 - 222 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-10-30
09:21
Deep Learning and Quantum Generative Models for High Energy Physics Calorimeter Simulations / Rehm, Florian
The aim of this thesis is to explore Deep Learning and Quantum Computing approaches to reduce the challenging computing resource requirements of future High Energy Physics detector simulations while maintaining the necessary accuracy [...]
CERN-THESIS-2023-222 10.18154/RWTH-2023-09302 ; https://publications.rwth-aachen.de/record/969743/files/969743.pdf. - 306 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-10-26
18:32
Application of machine learning techniques to improve the resolution of particle timing detectors / Kocot, Mateusz
This thesis investigates the use of machine learning techniques to improve the precision of timing measurements in the Precision Proton Spectrometer (PPS) at CERN's Large Hadron Collider (LHC) [...]
CERN-THESIS-2023-217 - 67 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-10-05
17:29
Scalable Data Processing Model of the ALICE Experiment in the Cloud / Loncar, Petra
This thesis proposes an optimisation strategy for scalable Big Data processing in a heterogeneous Cloud [...]
CERN-THESIS-2023-185 -


დეტალური ჩანაწერი - მსგავსი ჩანაწერები
2023-09-28
11:15
IT Architecture Design of a Future Data Analysis System for Particle Physics at CERN / Gosein, Domenic
High-energy physics, along with other natural sciences, face the challenge of de- veloping scalable data analysis systems to meet the increasing demand of new and upgraded experiments, while adhering to the important research topics of result preservation and reproducibility [...]
CERN-THESIS-2023-174 - 86 p.


დეტალური ჩანაწერი - მსგავსი ჩანაწერები