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http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9878| Title: | Particle Detection and Measurement: From Low-Energy Nuclear Fusion with STELLA to High-Energy Muon Momentum Calibration with ATLAS |
| Authors: | Chapon, Emilien Heine, Marcel GUPTA, SPARSH Dept. of Physics 20201088 |
| Keywords: | Nuclear Physics Nuclear Astrophysics Particle Physics Cross-section measurement Detector calibration STELLA Collaboration ATLAS Collaboration |
| Issue Date: | May-2025 |
| Citation: | 69 |
| Abstract: | This thesis presents a study of particle detection and measurement spanning from low energy nuclear fusion experiments at STELLA to high-energy muon calibration studies at the ATLAS detector. The first part of the study focuses on the measurement of the fusion cross-section and spin assignment for the 12πΆ + 12πΆ reaction at πΈππ = 5.02 MeV using the STELLA experimental setup. Charged particle detection techniques, cross-section evaluation, and Legendre polynomial fits were employed to determine resonance structures in the compound nucleus 24ππ. The results confirm a spin-parity assignment of π½π = 2+, consistent with previous studies, and provide valuable insights for astrophysical models of stellar evolution. The second part of the study shifts to high-energy physics, focusing on muon momentum calibration at ATLAS for precise π-boson mass measurements. The calibration technique employs π½/π decays to address charge-dependent and charge-independent biases in transverse momentum measurements. Using data from Run-2 of the LHC, the analysis refines muon track parameters within the Inner Detector, improving the accuracy of the reconstructed π-boson mass. This calibration is crucial for reducing systematic uncertainties in electroweak precision measurements, directly impacting the determination of fundamental parameters such as the π-boson mass and weak mixing angle. |
| URI: | http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/9878 |
| Appears in Collections: | MS THESES |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 20201088_Sparsh_Gupta_Thesis.pdf | MS Thesis | 6.35 MB | Adobe PDF | View/Open |
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