Research in High Energy Physics
Lead Research Organisation:
Imperial College London
Department Name: Physics
Abstract
Investigation into the properties of elementary particles and the fundamental forces of nature. Precision tests of the Standard Model (SM); searches for new phenomena and extensions to the SM; studies of CP violation in the b-system; measurement of neutrino oscillation parameters; WIMP dark matter searches, preparations for future experiments, including HL-LHC, feasibility studies for future neutrino factories, double-beta decay experiments, gravitational wave detectors and linear colliders.
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/S505432/1 | 01/10/2018 | 30/09/2022 | |||
| 2119237 | Studentship | ST/S505432/1 | 01/10/2018 | 31/07/2022 | Julia-Suzana DANCU |
| Description | End-to-end deep neural network vertex reconstruction and association algorithm development for the Phase-II Level-1 Trigger Upgrade in the CMS detector |
| Organisation | Imperial College London |
| Department | Department of Physics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaborative research with Imperial College London high energy physics researchers towards the Phase-II Level-1 Trigger Upgrade in the CMS detector. I developed and trained a number of machine learning algorithms and compared their relative performance for track-to-vertex association that would be integrated into the end-to-end neural network framework. |
| Collaborator Contribution | Collaborative research with Imperial College London high energy physics researchers towards the Phase-II Level-1 Trigger Upgrade in the CMS detector. My colleagues developed a deep neural network-based vertex reconstruction algorithm for high-luminosity pile-up rejection purposes in the Phase-II Level-1 Trigger Upgrade of the CMS detector. |
| Impact | I received EPR credits within the CMS collaboration to become an author. No paper or technical report has been published, yet, it is still ongoing work. The work is mentioned in Section 3.4 of the newly published "ThMS Level-1 Trigger Technical Design report (Report number: CERN-LHCC-2020-004, CMS-TDR-021). |
| Start Year | 2019 |
| Description | Searching for long-lived heavy neutral leptons in hadronic decays with the CMS detector using a novel deep neural network-based displaced jet tagger |
| Organisation | European Organization for Nuclear Research (CERN) |
| Department | CERN LHC CMS |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Collaboratively working on the aforementioned analysis using data collected by the CMS detector between 2016-2018. Personally, I am working on training an event-level classifier to distinguish signal events from background. |
| Collaborator Contribution | Collaboratively working on the aforementioned analysis using data collected by the CMS detector between 2016-2018. Some of my colleagues trained a novel deep neural network-based long-lived jet tagger for signal processes we are searching for, as well as evaluating the statistical significance and systematics of the result of this analysis. |
| Impact | We are entering the write-up and review period of the analysis within the CMS collaboration. We expect the analysis to be accepted and published in half a year. |
| Start Year | 2020 |
| Description | Searching for long-lived heavy neutral leptons in hadronic decays with the CMS detector using a novel deep neural network-based displaced jet tagger |
| Organisation | Imperial College London |
| Department | Department of Physics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Collaboratively working on the aforementioned analysis using data collected by the CMS detector between 2016-2018. Personally, I am working on training an event-level classifier to distinguish signal events from background. |
| Collaborator Contribution | Collaboratively working on the aforementioned analysis using data collected by the CMS detector between 2016-2018. Some of my colleagues trained a novel deep neural network-based long-lived jet tagger for signal processes we are searching for, as well as evaluating the statistical significance and systematics of the result of this analysis. |
| Impact | We are entering the write-up and review period of the analysis within the CMS collaboration. We expect the analysis to be accepted and published in half a year. |
| Start Year | 2020 |
| Description | Demonstrator at the Physics Easter School 2019 at Imperial College London |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | I demonstrated in the physics laboratory for GCSE students participating in the Physics Easter School programme organised by Imperial College London |
| Year(s) Of Engagement Activity | 2019 |
| Description | LHCb Masterclass Computing Exercise 2019 |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Was a computing lab demonstrator at the annual LHCb Masterclass Computing Exercise intended for A-levels students. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://lhcb-public.web.cern.ch/en/LHCb-outreach/masterclasses/en/Downloads.html |
| Description | Postgraduate Applicant Visit Days at Imperial College London |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Undergraduate students |
| Results and Impact | Represented the High Energy Physics group at the Postgraduate Applicant Visit Days at Imperial College London |
| Year(s) Of Engagement Activity | 2019 |
| Description | University of Birmingham PPS Alumni Careers Event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Undergraduate students |
| Results and Impact | I was invited as a female alumna for a networking online event of the Poynting Physics Society at the University of Birmingham where I conducted my undergraduate degree. I engaged with undergraduate students and presented my journey towards successfully securing a fully-funded PhD in high energy physics at Imperial College London. I talked about my current research, PhD student life and I answered to their questions. |
| Year(s) Of Engagement Activity | 2021 |
| URL | https://bham-ac-uk.zoom.us/meeting/register/tZAudeiorz8sG9HR8ucTPWVq2D1s9kT1upnV |