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.
Organisations
Publications
CMS Collaboration
(2021)
MUSiC: a model-unspecific search for new physics in proton-proton collisions at s = 13 TeV.
in The European physical journal. C, Particles and fields
Sirunyan A
(2021)
Search for dark matter produced in association with a leptonically decaying $${\mathrm{Z}} $$ boson in proton-proton collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$
in The European Physical Journal C
Sirunyan A
(2021)
Search for W' bosons decaying to a top and a bottom quark at s = 13 TeV in the hadronic final state
in Physics Letters B
Sirunyan A
(2020)
Search for resonant pair production of Higgs bosons in the b b Z Z channel in proton-proton collisions at s = 13 TeV
in Physical Review D
Sirunyan A
(2020)
Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions
in Journal of Instrumentation
Sirunyan A
(2021)
Search for lepton-flavor violating decays of the Higgs boson in the ยต t and e t final states in proton-proton collisions at s = 13 TeV
in Physical Review D
Sirunyan A
(2020)
Measurement of B c ( 2 S ) + and B c * ( 2 S ) + cross section ratios in proton-proton collisions at s = 13 TeV
in Physical Review D
Sirunyan A
(2021)
Measurement of the W ? Production Cross Section in Proton-Proton Collisions at s = 13 TeV and Constraints on Effective Field Theory Coefficients
in Physical Review Letters
Sirunyan A
(2020)
Inclusive search for highly boosted Higgs bosons decaying to bottom quark-antiquark pairs in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV
in Journal of High Energy Physics
Sirunyan A
(2021)
Search for top squarks in final states with two top quarks and several light-flavor jets in proton-proton collisions at s = 13 TeV
in Physical Review D
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| ST/R504816/1 | 01/10/2017 | 30/09/2021 | |||
| 1963036 | Studentship | ST/R504816/1 | 01/10/2017 | 04/06/2021 | Vilius CEPAITIS |
| Description | The Large Hadron Collider (LHC) is the most powerful particle accelerator ever built. The CMS experiment at the LHC analyses proton-proton collisions, and was one of the projects responsible for the discovery of the Higgs boson. The discovery of the Higgs boson completed and validated the Standard Model (SM) of particle physics. However, while many efforts have been invested in this direction, no other new fundamental particle has been discovered at the LHC. Such beyond-the-SM particles may be long-lived and leave exotic signatures in the detector which are hard to reconstruct. In the work funded by this award, state-of-the-art machine learning techniques were employed to develop an algorithm capable of detecting and identifying the decay products of such long-lived particles. |
| Exploitation Route | The developments of this work are being employed by the CMS Collaboration in further searches for long-lived particles. |
| Sectors | Digital/Communication/Information Technologies (including Software),Other |
| Description | 4th ATLAS Machine Learning Workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave an invited talk on behalf of the CMS collaboration on a deep-neural-network based tagger to search for long-lived particles, which was mainly developed at Imperial College. The audience, consisting mainly of other particle physicists from ATLAS, was very interested in our novel approach and how it could be applied at their experiment. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://indico.cern.ch/event/844092/ |
| Description | CERN Open Days |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Several thousand visitors were hosted at the CMS experiment, many of them from the UK. The most memorable part for most visitors was the visit underground, as it was a rare opportunity to see one of the most sophisticated experiments ever built from close by. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://opendays.cern |
| Description | Presentation at the 6th LHC long-lived particle workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a presentation about a deep neural network based tagger to search for long-lived particles on behalf of the CMS collaboration. This tool was developed mainly at Imperial College and is inspired by state-of-the-art machine learning techniques. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://indico.cern.ch/event/849129/ |