Bachelor Thesis Open Access
Bogner, Lars
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <controlfield tag="001">22243</controlfield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">FCC-ee</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">machine learning</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">explicit reconstruction</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-etp</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="a">Bogner, Lars</subfield> <subfield code="u">KIT/ETP</subfield> </datafield> <controlfield tag="005">20240726081149.0</controlfield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">14361203</subfield> <subfield code="u">https://publish.etp.kit.edu/record/22243/files/2024-07-22_Bachelorthesis-NO-Acknowledgments.pdf</subfield> <subfield code="z">md5:96fd57b764c15433aa31493b76267091</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>The next generation of e<sup>+</sup>e<sup>-</sup>-colliders, such as the proposed Future Circular Collider electron-positron (FCC-ee) at CERN operating as a Higgs and electroweak factory, necessitates new implementations while enabling innovative approaches in &tau; lepton reconstruction. In the FCC dataset, the &tau; lepton plays a crucial role in many physics topics. Focusing on the IDEA detector concept at the FCC-ee, machine learning (ML) approaches for jet flavor tagging are studied. Additionally, explicit reconstruction algorithms are employed for tagging the decay mode of &tau; leptons from its decay products on the jet level.</p> <p>In the study about using ML for identifying the flavor of Z boson decay jets, the existing, state-of-the-art Particle Transformer Network shows very good performance with very low false positive rates in quark jet suppression against Z &rarr; &tau;<sup>+</sup>&tau;<sup>-</sup> signal samples. A more simplistic feed-forward neural network is compared against the transformer model and shows worse performance with an increased false positive rate of two orders of magnitude.</p> <p><br> Using an explicit reconstruction approach for the &tau; decay mode identification, the combination with the reconstruction of intermediate states, like the neutral &pi;<sup>0</sup> meson or the &rho;(770) meson is proposed. The performance of this method is evaluated in dependence on multiple cuts on the jet properties, aiming at optimizing the purity of the identified decay<br> modes and investigating the efficiency-purity-relation. The proposed techniques promise good performance in &tau; reconstruction at FCC-ee but also further the need for a full simulation of the Innovative Detector for Electron-positron Accelerator (IDEA) detector to find final conclusions on the limitations of &tau; lepton reconstruction, as the current fast simulation shows limitations for the reconstruction of &tau; leptons. Additionally, alternative approaches to the tasks at hand are proposed.</p></subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Tau Lepton Reconstruction at FCC-ee</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="o">oai:publish.etp.kit.edu:22243</subfield> <subfield code="p">user-etp</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Klute, Markus</subfield> <subfield code="u">KIT/ETP</subfield> <subfield code="4">ths</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="a">Zuo, Xunwu</subfield> <subfield code="u">KIT/ETP</subfield> <subfield code="4">ths</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2024-07-22</subfield> </datafield> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">thesis</subfield> <subfield code="b">bachelor-thesis</subfield> </datafield> </record>