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Charanjit Kaur Khosa
Charanjit Kaur Khosa
Verified email at manchester.ac.uk
Title
Cited by
Cited by
Year
The LHC olympics 2020: a community challenge for anomaly detection in high energy physics
G Kasieczka, B Nachman, D Shih, O Amram, A Andreassen, ...
arXiv preprint arXiv:2101.08320, 2021
1582021
Constraining new physics with SModelS version 2
G Alguero, J Heisig, CK Khosa, S Kraml, S Kulkarni, A Lessa, ...
Journal of High Energy Physics 2022 (8), 1-42, 2022
552022
Exploring the standard model EFT in production with machine learning
FF Freitas, CK Khosa, V Sanz
Physical Review D 100 (3), 035040, 2019
462019
Reinterpretation of LHC results for new physics: Status and recommendations after run 2
W Abdallah, S AbdusSalam, A Ahmadov, A Ahriche, G Alguero, ...
SciPost physics 9 (2), 022, 2020
442020
SModelS database update v1. 2.3
CK Khosa, S Kraml, A Lessa, P Neuhuber, W Waltenberger
arXiv preprint arXiv:2005.00555, 2020
422020
Anomaly awareness
CK Khosa, V Sanz
arXiv preprint arXiv:2007.14462, 2020
352020
Baryon stability on the Higgs dissolution edge: threshold corrections and suppression of baryon violation in the NMSGUT
CS Aulakh, I Garg, CK Khosa
Nuclear Physics B 882, 397-449, 2014
332014
Convolutional neural networks for direct detection of dark matter
CK Khosa, L Mars, J Richards, V Sanz
Journal of Physics G: Nuclear and Particle Physics 47 (9), 095201, 2020
292020
Higgs boson tagging with the Lund jet plane
CK Khosa, S Marzani
Physical Review D 104 (5), 055043, 2021
282021
Identification of jets using QCD-inspired observables
O Fedkevych, CK Khosa, S Marzani, F Sforza
Physical Review D 107 (3), 034032, 2023
162023
Using machine learning to disentangle LHC signatures of Dark Matter candidates
CK Khosa, V Sanz, M Soughton
SciPost Physics 10 (6), 151, 2021
162021
Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane
L Cavallini, A Coccaro, CK Khosa, G Manco, S Marzani, F Parodi, ...
The European Physical Journal C 82 (5), 1-12, 2022
132022
Anomaly Awareness (2020)
CK Khosa, V Sanz
arXiv preprint arXiv:2007.14462, 0
13
SO (10) grand unified theories with dynamical Yukawa couplings
CS Aulakh, CK Khosa
Physical Review D 90 (4), 045008, 2014
122014
Predicting δPMNS, θ 23 PMNS and fermion mass ratios from flavour GUTs with CSD2
S Antusch, C Hohl, CK Khosa, V Susič
Journal of High Energy Physics 2018 (12), 1-51, 2018
112018
Boosted top quark polarization
R Godbole, M Guchait, CK Khosa, J Lahiri, S Sharma, AH Vijay
Physical Review D 100 (5), 056010, 2019
92019
Probing anomalies via dimuon tails at a future collider
B Garland, S Jäger, CK Khosa, S Kvedaraitė
Physical Review D 105 (11), 115017, 2022
62022
New developments in SModelS
G Alguero, J Heisig, CK Khosa, S Kraml, S Kulkarni, A Lessa, P Neuhuber, ...
arXiv preprint arXiv:2012.08192, 2020
62020
Alternative search strategies for a BSM resonance fitting the ATLAS diboson excess
B Bhattacherjee, P Byakti, CK Khosa, J Lahiri, G Mendiratta
Physical Review D 93 (7), 075015, 2016
62016
On the Impact of the LHC Run 2 Data on General Composite Higgs Scenarios
CK Khosa, V Sanz
Advances in High Energy Physics 2022, 2022
52022
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