LHCb Trigger based B physics analysis

Lead Research Organisation: University of Liverpool
Department Name: Physics

Abstract

The student will develop the selection for the analysis before data taking and reconstruction of decay channels required to correct for systematic bias of the detector to correct the electron/muon reconstruction efficiency ratio and evaluate the trigger efficiencies. Data throughput for a defined cost and power envelope will be analysed to understand effects of residual misalignments and calibration issues in data reconstruction. Highly parallelised data monitoring and calibration for the new VELO pixel detector will be developed.

Publications

10 25 50
 
Description 6-month Placement at Exgence Ltd 
Organisation Exgence
Country United Kingdom 
Sector Private 
PI Contribution As a requirement of the STFC funding of this PhD, I undertook a 6-month placement at a company unrelated to my research work. This involved designing and implementing a machine-learning based product at Exgence Ltd, a Manchester startup to provide solutions to software vendor companies.
Collaborator Contribution See above.
Impact I have gained experience in applying machine learning and software engineering skills outside academia in the wider economy.
Start Year 2019
 
Title LHCb Decoder Software 
Description I have written a piece of software to decode outgoing data from the new LHCb detector between multiple formats, for use in different components of the detector software. The decoding software also reconstructs time data from the output and reorders the data in real time. 
Type Of Technology Software 
Year Produced 2020 
Open Source License? Yes  
Impact This tool is a necessary part of the LHCb upgrade for the 3rd run of the LHC 
 
Description Liverpool CERN Summer School 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact During my 6-month long-term attachment at CERN in 2019, I assisted in a Liverpool-hosted summer school to 6th-form students, designed to continue to foster their interest in high-energy physics and help them to form a coherent plan for beginning a career in the field.

Students from a region of the UK were selected based on an application process to find talented individuals looking to pursue a career in particle physics. They were taken to CERN, where a week-long summer school was hosted by Liverpool PhD students on LTA. Components of the school included:

* Lectures on topics at the forefront of high-energy physics, such as neutrinos and super-symmetry, as well as the applications of big data and machine learning to the field

* Workshops to teach skills relevant to the field, such as C++ programming, and use of the ROOT software framework. A workshop on detector design was also held, where students were encouraged to design a hypothetical new detector that, if commissioned and created, would provide novel or useful insights into particle physics. The designs were presented by the students and judged by the PhD students, with small prizes given.

* Quizzes on topics in particle physics and the people behind discoveries

* Question/answer sessions from the school students to the PhD students on current problems in physics

* Informal conversation sessions where the school students can find out about life as a researcher, and how to pursue a physics career path
Year(s) Of Engagement Activity 2019