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
People |
ORCID iD |
Alexander Tapper (Primary Supervisor) | |
Vilius CEPAITIS (Student) |
Publications
Sirunyan A
(2021)
Search for the lepton flavor violating decay t ? 3ยต in proton-proton collisions at $$ \sqrt{\mathrm{s}} $$ = 13 TeV
in Journal of High Energy Physics
Sirunyan A
(2021)
Search for dark photons in Higgs boson production via vector boson fusion in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV
in Journal of High Energy Physics
Sirunyan A
(2021)
Evidence for Higgs boson decay to a pair of muons
in Journal of High Energy Physics
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
(2020)
Search for decays of the 125 GeV Higgs boson into a Z boson and a ? or ? meson
in Journal of High Energy Physics
Sirunyan A
(2021)
Search for nonresonant Higgs boson pair production in final states with two bottom quarks and two photons in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV
in Journal of High Energy Physics
Sirunyan A
(2021)
Search for new physics in top quark production with additional leptons in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV using effective field theory
in Journal of High Energy Physics
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 long-lived particles using displaced jets in proton-proton collisions at s = 13 TeV
in Physical Review D
Tumasyan A
(2021)
Measurement of the electroweak production of Z ? and two jets in proton-proton collisions at s = 13 TeV and constraints on anomalous quartic gauge couplings
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/ |