Dr.Abideh Jafari

abideh.jafari@iut.ac.ir
Office
Physics Department
Phone
+98 313 3913709
Fax
+98 313 3912376
Positions
Associate Professor of Physics Department
Research Interests
Experimental High Energy Physics
Precision measurements and searches in the heavy sector of the SM, namely, top quark and Higgs boson
New interactions and Effective Field Theory
Quantum Computing and Quantum Machine Learning
type: Journal
Title DOI type
Search for central exclusive production of top quark pairs in proton-proton collisions at ?s = 13 TeV with tagged protons # Journal
Search for Standard Model pp?tWZ process in multi-lepton final states in pp collisions at ?s = 13 TeV # Journal
Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the ??bb and ??bb final states # Journal
Search for exotic decays of the Higgs boson to a pair of pseudoscalars in the \upmu \upmu \text{ b } \text{ b } and \uptau \uptau \text{ b } \text{ b } final states # Journal
Search for CP violation using $$ \textrm{t}\overline{\textrm{t}} $$ events in the lepton+jets channel in pp collisions at $$ \sqrt{s} $$ = 13 TeV 10.1007/JHEP06(2023)081 Journal
Search for high-mass resonances decaying to a jet and a Lorentz-boosted resonance in proton-proton collisions at s=13TeV 10.1016/j.physletb.2022.137263 Journal
Search for Higgs Boson Pair Production in the Four <mml:math xmlns:mml='http://www.w3.org/1998/Math/MathML' display='inline'><mml:mi>b</mml:mi></mml:math> Quark Final State in Proton-Proton Collisions at <mml:math xmlns:mml='http://www.w3.org/1998/Ma 10.1103/PhysRevLett.129.081802 Journal
Search for long-lived heavy neutral leptons with displaced vertices in proton-proton collisions at $$ \sqrt{\mathrm{s}} $$ =13 TeV 10.1007/JHEP07(2022)081 Journal
Search for Resonances Decaying to Three <mml:math xmlns:mml='http://www.w3.org/1998/Math/MathML' display='inline'><mml:mrow><mml:mi>W</mml:mi></mml:mrow></mml:math> Bosons in Proton-Proton Collisions at <mml:math xmlns:mml='http://www.w3.org/1998/Mat 10.1103/PhysRevLett.129.021802 Journal
Identification of hadronic tau lepton decays using a deep neural network 10.1088/1748-0221/17/07/P07023 Journal