Research in High Energy Physics
Lead Research Organisation:
Imperial College London
Department Name: Dept of 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.
People |
ORCID iD |
Alexander Tapper (Primary Supervisor) | |
Vilius CEPAITIS (Student) |
Publications

CMS Collaboration
(2021)
Measurements of production cross sections of the Higgs boson in the four-lepton final state in proton-proton collisions at s = 13 TeV.
in The European physical journal. C, Particles and fields

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)
Measurements of production cross sections of polarized same-sign W boson pairs in association with two jets in proton-proton collisions at s = 13 TeV
in Physics Letters B

Sirunyan A
(2021)
Evidence for Higgs boson decay to a pair of muons
in Journal of High Energy Physics

Sirunyan A
(2021)
Measurement of prompt D0 and D ? 0 meson azimuthal anisotropy and search for strong electric fields in PbPb collisions at s NN = 5.02 TeV
in Physics Letters B

Sirunyan A
(2020)
Search for bottom-type, vectorlike quark pair production in a fully hadronic final state in proton-proton collisions at s = 13 TeV
in Physical Review D

Sirunyan A
(2021)
Measurement of the CP-violating phase ?s in the B s 0 ? J / ? ? ( 1020 ) ? µ + µ - K + K - channel in proton-proton collisions at s = 13 TeV
in Physics Letters B

Sirunyan A
(2021)
Evidence for electroweak production of four charged leptons and two jets in proton-proton collisions at s = 13 TeV
in Physics Letters B

Sirunyan A
(2020)
Search for a light charged Higgs boson in the H ± ? c s channel in proton-proton collisions at s = 13 TeV
in Physical Review D

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
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
ST/R504816/1 | 30/09/2017 | 29/09/2021 | |||
1963036 | Studentship | ST/R504816/1 | 30/09/2017 | 03/06/2021 | 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/ |