Les Houches 2011: physics at TeV colliders new physics working group report G Brooijmans, B Gripaios, F Moortgat, J Santiago, P Skands, DA Vásquez, ... arXiv preprint arXiv:1203.1488, 2012 | 338 | 2012 |
Report from Working Group 3: Beyond the Standard Model physics at the HL-LHC and HE-LHC XC Vidal, M d'Onofrio, PJ Fox, R Torre, KA Ulmer, A Aboubrahim, A Albert, ... CERN, 2019 | 188 | 2019 |
Beyond the Standard Model Physics at the HL-LHC and HE-LHC XC Vidal, M d'Onofrio, PJ Fox, R Torre, KA Ulmer, A Aboubrahim, A Albert, ... arXiv preprint arXiv:1812.07831, 2018 | 86 | 2018 |
Simplified fast detector simulation in MADANALYSIS 5 JY Araz, B Fuks, G Polykratis The European Physical Journal C 81 (4), 1-24, 2021 | 68 | 2021 |
Reinterpreting the results of the LHC with MadAnalysis 5: uncertainties and higher-luminosity estimates JY Araz, M Frank, B Fuks The European Physical Journal C 80 (6), 531, 2020 | 56 | 2020 |
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 | 48 | 2020 |
Classical versus quantum: Comparing tensor-network-based quantum circuits on Large Hadron Collider data JY Araz, M Spannowsky Physical Review A 106 (6), 062423, 2022 | 37 | 2022 |
Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks JY Araz, M Spannowsky Journal of High Energy Physics 04 (2021) 296, 2021 | 30 | 2021 |
Loopholes in Z′ searches at the LHC: exploring supersymmetric and leptophobic scenarios JY Araz, G Corcella, M Frank, B Fuks Journal of High Energy Physics 2018 (2), 2018 | 30 | 2018 |
Precision SMEFT bounds from the VBF Higgs at high transverse momentum JY Araz, S Banerjee, RS Gupta, M Spannowsky Journal of High Energy Physics 2021 (4), 1-29, 2021 | 29 | 2021 |
Differentiating supersymmetric models with right sneutrino and neutralino dark matter JY Araz, M Frank, B Fuks Physical Review D 96 (1), 015017, 2017 | 24 | 2017 |
Recasting LHC searches for long-lived particles with MadAnalysis 5 JY Araz, B Fuks, MD Goodsell, M Utsch The European Physical Journal C 82 (7), 597, 2022 | 23 | 2022 |
Elvet--a neural network-based differential equation and variational problem solver JY Araz, JC Criado, M Spannowsky arXiv preprint arXiv:2103.14575, 2021 | 19 | 2021 |
Quantum-inspired event reconstruction with tensor networks: Matrix product states JY Araz, M Spannowsky Journal of High Energy Physics 2021 (8), 1-28, 2021 | 17 | 2021 |
Quantum-probabilistic Hamiltonian learning for generative modeling and anomaly detection JY Araz, M Spannowsky Physical Review A 108 (6), 062422, 2023 | 14 | 2023 |
Toward a quantum simulation of nonlinear sigma models with a topological term JY Araz, S Schenk, M Spannowsky Physical Review A 107 (3), 032619, 2023 | 14 | 2023 |
Proceedings of the second MadAnalysis 5 workshop on LHC recasting in Korea JY Araz, E Conte, R Ducrocq, T Flacke, B Fuks, SH Jeon, T Kim, P Ko, ... Modern Physics Letters A 36 (01), 2102001, 2021 | 13 | 2021 |
Dark matter and collider signals in an MSSM extension with vector-like multiplets JY Araz, S Banerjee, M Frank, B Fuks, A Goudelis Physical Review D 98 (11), 115009, 2018 | 11 | 2018 |
Signal region combination with full and simplified likelihoods in MadAnalysis 5 G Alguero, JY Araz, B Fuks, S Kraml SciPost Physics 14 (1), 009, 2023 | 10 | 2023 |
Strength in numbers: optimal and scalable combination of LHC new-physics searches JY Araz, A Buckley, B Fuks, H Reyes-González, W Waltenberger, ... SciPost Physics 14 (4), 077, 2023 | 9 | 2023 |