| Thesis | |
| Report number | CERN-THESIS-2023-179 |
| Title | Alignment Study of Scintillating Fiber Modules of the SND@LHC Experiment at CERN |
| Related title | CERN SND@LHC Deneyi Sintilatör Modüllerinin Hizalama Çalışmaları |
| Author(s) | Yazici, Ceren (Middle East Technical University (TR)) |
| Publication | 92. |
| Thesis note | Master : Middle East Technical University : 2023-10-02 |
| Thesis supervisor(s) | Güler, Ali Murat |
| Note | Presented 11 Sep 2023 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; SND@LHC |
| Abstract | The Standard Model (SM) of particle physics does not supply any fundamental particles for dark matter and can not explain the baryon-antibaryon asymmetry in the Universe. Therefore new searches with new techniques are essential in high energy physics. With these motivations SND@LHC (Scattering and Neutrino Detector at the Large Hadron Collider) at CERN is proposed to search for feebly interacting particles that can be a dark matter candidate. In this thesis work, spatial alignment of the SciFi (Scintillating Fiber) modules of the SND@LHC detector is studied using the minimization software MINUIT, employing chi-square minimization method. The results of the alignment studies demonstrate that the MINUIT minimization package can be used to align the SND@LHC SciFi modules. In addition, Millepede-II package for linear least squares fits is introduced to further improve the alignment. |
Email contact: [email protected]
Element opprettet 2023-10-02, sist endret 2023-10-04
