Bhattacharya, Aakash (2023) Applications of Boosted Decision Trees for Cosmic Ray Particle Identification. Bachelor's Thesis, Astronomy.
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Final Bsc Thesis Aakash Bhattacharya s3767663.pdf Download (12MB) | Preview |
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Abstract
The AMS-02 is at the forefront of cosmic ray identification, being the first detector with the potential to detect cosmic antiparticles. This relies heavily on accurate velocity measurements in order for proper mass reconstruction and particle identification. This is particularly challenging for single charge particles whose signal is easily disrupted by noise, negatively affecting the velocity reconstruction. This project aims to identify variables to which can be used to train BDTs to effectively discriminate background and clean data. The BDT was successful in cleaning the data and producing more clear mass peaks. 9 variables were identified to help clean the data.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Vecchi, M. |
| Degree programme: | Astronomy |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 17 Jul 2023 12:18 |
| Last Modified: | 17 Jul 2023 12:18 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/30710 |
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