{"id":{"repo_id":"regina","oai_identifier":"oai:uregina.scholaris.ca:10294/5844"},"canonical_url":"https://search.dev.ndltd.org/etd/regina/oai:uregina.scholaris.ca:10294/5844","repository":{"repo_id":"regina","name":"University of Regina","base_url":"https://uregina.scholaris.ca/server/oai/request"},"display":{"title":"Particle Identification with the ND280 Fine Grained Detectors for the T2K Experiment","abstract":"The main goal of this thesis is the development of an algorithm for identification of particles (protons, electrons, muons and pions) with trajectories contained within the Fine Grained Detectors of the T2K (Tokai-to-Kamioka) experiment. This is achieved by constructing a distribution that compares the distance and the energy deposited by a particle travelling in the detectors. Using this distribution, a probability density function is created using simulations for particles interacting in the FGDs. The method of comparison includes the calculation of the pull variable, which gives a measurement of how close a particle being analysed is to a determined particle hypothesis. These pull variables can then be used as an estimate of the likelihood for the particle identification. Tests using this method were performed using an independent set of simulated samples, and also control samples of real protons and muons collected with the experiment. The results show that protons and electrons can be identified successfully from muons and pions. However, the developed particle identification algorithm is unable to discriminate between muons and pions since they behave in a very similar way under the conditions studied.","abstract_html":"The main goal of this thesis is the development of an algorithm for identification of particles (protons, electrons, muons and pions) with trajectories contained within the Fine Grained Detectors of the T2K (Tokai-to-Kamioka) experiment. This is achieved by constructing a distribution that compares the distance and the energy deposited by a particle travelling in the detectors. Using this distribution, a probability density function is created using simulations for particles interacting in the FGDs. The method of comparison includes the calculation of the pull variable, which gives a measurement of how close a particle being analysed is to a determined particle hypothesis. These pull variables can then be used as an estimate of the likelihood for the particle identification. Tests using this method were performed using an independent set of simulated samples, and also control samples of real protons and muons collected with the experiment. The results show that protons and electrons can be identified successfully from muons and pions. However, the developed particle identification algorithm is unable to discriminate between muons and pions since they behave in a very similar way under the conditions studied.","abstract_has_math":false,"creators":["Popovski Kolaceke, Anezka"],"institution":"Faculty of Graduate Studies and Research, University of Regina","degree_name":"Master of Science (MSc)","degree_level":"Master's","degree_discipline":"Physics","degree_department":null,"school":null,"contributors":[],"advisors":["Barbi, Mauricio"],"committee_chairs":[],"committee_members":["Mobed, Nader","Mathie, Edward","Tacik, Roman"],"year":2014,"date_issued":"2014-09","date_published":"2014-09","updated_at":"2026-07-24T04:03:27Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/3855"],"render_values":[{"text":"https://doi.org/10.82465/3855","href":"https://doi.org/10.82465/3855","code":true}]}]},"links":{"outbound_url":"https://hdl.handle.net/10294/5844","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Barbi, Mauricio"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Mobed, Nader","Mathie, Edward","Tacik, Roman"]},{"key":"dc:creator","label":"Author","values":["Popovski Kolaceke, Anezka"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-07-22T17:43:10Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-07-22T17:43:10Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-09"]},{"key":"dc:publisher","label":"Institution","values":["Faculty of Graduate Studies and Research, University of Regina"]},{"key":"dc:type","label":"Dc Type","values":["master thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Physics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Master's"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MSc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Faculty of Graduate Studies and Research, University of Regina"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.doi","label":"DOI","values":["https://doi.org/10.82465/3855"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10294/5844"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Physics, University of Regina. xiii, 71 p."]},{"key":"dc:description.abstract","label":"Abstract","values":["The main goal of this thesis is the development of an algorithm for identification of particles (protons, electrons, muons and pions) with trajectories contained within the Fine Grained Detectors of the T2K (Tokai-to-Kamioka) experiment. This is achieved by constructing a distribution that compares the distance and the energy deposited by a particle travelling in the detectors. Using this distribution, a probability density function is created using simulations for particles interacting in the FGDs. The method of comparison includes the calculation of the pull variable, which gives a measurement of how close a particle being analysed is to a determined particle hypothesis. These pull variables can then be used as an estimate of the likelihood for the particle identification. Tests using this method were performed using an independent set of simulated samples, and also control samples of real protons and muons collected with the experiment. The results show that protons and electrons can be identified successfully from muons and pions. However, the developed particle identification algorithm is unable to discriminate between muons and pions since they behave in a very similar way under the conditions studied."]},{"key":"dc:title","label":"Title","values":["Particle Identification with the ND280 Fine Grained Detectors for the T2K Experiment"]}]}],"canonical_facts":{"dc:contributor.advisor":["Barbi, Mauricio"],"dc:contributor.committeemember":["Mobed, Nader","Mathie, Edward","Tacik, Roman"],"dc:creator":["Popovski Kolaceke, Anezka"],"dc:date.accessioned":["2015-07-22T17:43:10Z"],"dc:date.available":["2015-07-22T17:43:10Z"],"dc:date.issued":["2014-09"],"dc:description":["A Thesis Submitted to the Faculty of Graduate Studies and Research In Partial Fulfillment of the Requirements for the Degree of Master of Science in Physics, University of Regina. xiii, 71 p."],"dc:description.abstract":["The main goal of this thesis is the development of an algorithm for identification of particles (protons, electrons, muons and pions) with trajectories contained within the Fine Grained Detectors of the T2K (Tokai-to-Kamioka) experiment. This is achieved by constructing a distribution that compares the distance and the energy deposited by a particle travelling in the detectors. Using this distribution, a probability density function is created using simulations for particles interacting in the FGDs. The method of comparison includes the calculation of the pull variable, which gives a measurement of how close a particle being analysed is to a determined particle hypothesis. These pull variables can then be used as an estimate of the likelihood for the particle identification. Tests using this method were performed using an independent set of simulated samples, and also control samples of real protons and muons collected with the experiment. The results show that protons and electrons can be identified successfully from muons and pions. However, the developed particle identification algorithm is unable to discriminate between muons and pions since they behave in a very similar way under the conditions studied."],"dc:identifier.doi":["https://doi.org/10.82465/3855"],"dc:identifier.uri":["https://hdl.handle.net/10294/5844"],"dc:language.iso":["en"],"dc:publisher":["Faculty of Graduate Studies and Research, University of Regina"],"dc:title":["Particle Identification with the ND280 Fine Grained Detectors for the T2K Experiment"],"dc:type":["master thesis"],"thesis:degree_discipline":["Physics"],"thesis:degree_level":["Master's"],"thesis:degree_name":["Master of Science (MSc)"],"thesis:institution_name":["Faculty of Graduate Studies and Research, University of Regina"]},"updated_at":"2026-07-24T04:03:27Z"}