[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126033-en":3,"doc-seo-126033-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":11},126033,2336474466412,"Ezra","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Performance Optimisation of tH(bb) Signal and Background Separation Using Machine Learning - Supervisor Evaluation","The supervisor’s statement evaluates a master’s thesis titled “Performance Optimisation of tH(bb) Signal and Background Separation Using Machine Learning” within Knowledge Engineering. The assignment is judged fulfilled, with high quality in the main written part and excellent quality in the produced software. The work masters complex ATLAS collaboration code for data storage and analysis, and integrates analysis code into ATLAS “analysis ntuples” for future dataset productions. The results are considered competitive, extending previous Higgs sensitivity.","Supervisor’s statement of a final thesis  \nSupervisor: doc. Dr. André Sopczak  \nStudent: Bc. Martin Vatrt  \nThesis title: Performance Optimisation of tH(bb) Signal and Background  \nSeparation Using Machine Learning  \nBranch / specialization: Knowledge Engineering Created on: 24 May 2023  \nEvaluation criteria  \n1. Fulfillment of the assignment  \n▶ [1] assignment fulfilled  \n[2] assignment fulfilled with minor objections  \n[3] assignment fulfilled with major objections  \n[4] assignment not fulfilled  \nAll items of the assignment have been fulfilled. In particular, also the bonus item regarding the systematic uncertainty analysis was completed using adequate assumptions for simplification.  \n2. Main written part 90 /100 (A)  \nThe presented research fulfils a high standard in content and scope. Results are correct and sufficient cross-checks for consistency were performed. The flow of the thesis structure is natural and comprehensible to the reader. Notations are used correctly and the typographic and language fulfils a publishable standard, Relevant sources are properly cited. The citations are complete and in accordance with usual practice. Software and other copyrighted works have been used in accordance with their license terms.  \n3. Non-written part, attachments 95 /100 (A)  \nThe overall quality of the created software is high. Complex code from the ATLAS collaboration has been mastered, both for the data storage, and data analysis. Particular mentioned deserves the integration of the created analysis code into the ATLAS collaboration system which creates the \"analysis ntuples\". This allows the outcome of the project to be used in the future for new productions of the datasets towards a publication.  \n4. Evaluation of results, publication outputs and awards 90 /100 (A)  \nResults of the thesis are very competitive and extend previous sensitivity in the search for a Higgs boson produced in association with a single top quark. As a standard practice the analysis is performed on simulated data, and it only applied to the recorded data once the analysis is frozen and with official ATLAS collaboration approval. Therefore, the current analysis is \"blinded\" which means the recoded data is not used in displays where the signal to background ration is above a certain threshold. Finalising the analysis would require the complete inclusion of the systematic uncertainties. A major step towards this has also been made by including the analysis code in the group ntuple production code. Overall, the results are a valuable addition to previous analyses and extended the sensitivity.  \n5. Activity of the student  \n▶ [1] excellent activity  \n[2] very good activity  \n[3] average activity  \n[4] weaker, but still sufficient activity  \n[5] insufficient activity  \nThe student has been very active throughout his thesis project. Because of some paidwork commitment, there were some time periods where the student was less active, also it was clear he always made the best effort. Overall, he has been very dedicated to his project, and showed excellent activity.  \n6. Self-reliance of the student  \n[1] excellent self-reliance ▶ [2] very good self-reliance  \n[3] average self-reliance  \n[4] weaker, but still sufficient self-reliance  \n[5] insufficient self-reliance  \nThe student has been very good in self-reliance. He pushed himself to the maximum to finish assigned tasks, however, his time-management was often too tight, and he could profit in the future by better planning for himself to following more closely suggested time-lines.  \nThe overall evaluation 90 /100 (A)  \nResult are excellent, this sensitivity has never been achieved before. The complex software structure was perfectly used, and the technical aspects in the deployment were beyond expectations. The systematic uncertainty inclusion was a great achievement fora Master thesis, and the results are convincing. The student presented his results in several meetings of the ATLAS working group and the analysis","cbCaidEThg6m4eus","https://ap.wps.com/l/cbCaidEThg6m4eus","pdf",53243,9,1,3,"English","en",105,"# Evaluation criteria\n## Fulfilment of the assignment\n## Main written part\n## Non-written part, attachments\n## Evaluation of results, publication outputs and awards\n## Activity of the student\n## Self-reliance of the student\n# Instructions\n## Fulfilment of the assignment\n## Main written part\n## Non-written part, attachments","[{\"question\":\"How does the supervisor assess whether the thesis assignment was fulfilled?\",\"answer\":\"The supervisor confirms that all assignment items are fulfilled, including the bonus systematic uncertainty analysis, completed using adequate assumptions for simplification.\"},{\"question\":\"What strengths does the supervisor highlight in the thesis’s written and software components?\",\"answer\":\"The written part meets a high publishable standard with correct results and consistency checks. The created software quality is high, mastering complex ATLAS code and integrating the analysis into the collaboration system for analysis ntuples.\"},{\"question\":\"What is the supervisor’s evaluation of the thesis results and analysis methodology?\",\"answer\":\"The results are viewed as very competitive and extend prior sensitivity for a Higgs boson search with a single top quark. The analysis is performed on simulated data and is blinded, with finalization requiring full inclusion of systematic uncertainties.\"}]","Performance Optimisation of tH(bb) Signal and Background Separation Using Machine Learning - Supervisor Evaluation | PDF",1785902647,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":29},"performance-optimization-of-thbb-signal-and-background-separation-using-machine-learning-supervisor-evaluation","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":22},"https://docshare.wps.com/document/research-report/",{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/performance-optimization-of-thbb-signal-and-background-separation-using-machine-learning-supervisor-evaluation/126033/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-08-25","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"How does the supervisor assess whether the thesis assignment was fulfilled?","Question",{"text":75,"@type":76},"The supervisor confirms that all assignment items are fulfilled, including the bonus systematic uncertainty analysis, completed using adequate assumptions for simplification.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What strengths does the supervisor highlight in the thesis’s written and software components?",{"text":80,"@type":76},"The written part meets a high publishable standard with correct results and consistency checks. The created software quality is high, mastering complex ATLAS code and integrating the analysis into the collaboration system for analysis ntuples.",{"name":82,"@type":73,"acceptedAnswer":83},"What is the supervisor’s evaluation of the thesis results and analysis methodology?",{"text":84,"@type":76},"The results are viewed as very competitive and extend prior sensitivity for a Higgs boson search with a single top quark. 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