Staff profile

Journal Article

• Araz, J. Y. (2024). Spey: Smooth inference for reinterpretation studies. SciPost Physics, 16(1), Article 032. https://doi.org/10.21468/scipostphys.16.1.032
• Araz, J. Y., & Spannowsky, M. (2023). Quantum-probabilistic Hamiltonian learning for generative modeling and anomaly detection. Physical Review A, 108(6), Article 062422. https://doi.org/10.1103/physreva.108.062422
• Araz, J. Y., Buckley, A., & Fuks, B. (2023). Searches for new physics with boosted top quarks in the MadAnalysis 5 and Rivet frameworks. The European Physical Journal C, 83(7), Article 664. https://doi.org/10.1140/epjc/s10052-023-11779-2
• Araz, J. Y., Buckley, A., Fuks, B., Reyes-González, H., Waltenberger, W., Williamson, S. L., & Yellen, J. (2023). Strength in numbers: Optimal and scalable combination of LHC new-physics searches. SciPost Physics, 14(4), Article 077. https://doi.org/10.21468/scipostphys.14.4.077
• Araz, J. Y., Schenk, S., & Spannowsky, M. (2023). Toward a quantum simulation of nonlinear sigma models with a topological term. Physical Review A, 107(3), https://doi.org/10.1103/physreva.107.032619
• Alguero, G., Araz, J., Fuks, B., & Kraml, S. (2023). Signal region combination with full and simplified likelihoods in MadAnalysis 5. SciPost Physics, 14(1), Article 009. https://doi.org/10.21468/scipostphys.14.1.009
• Araz, J. Y., Fuks, B., Goodsell, M. D., & Utsch, M. (2022). Recasting LHC searches for long-lived particles with MadAnalysis 5. The European Physical Journal C, 82(7), Article 597 (2022). https://doi.org/10.1140/epjc/s10052-022-10511-w
• Araz, J. Y., Frank, M., Fuks, B., Moretti, S., & Özdal, Ö. (2021). Cross-fertilising extra gauge boson searches at the LHC. Journal of High Energy Physics, 2021(11), Article 14 (2021). https://doi.org/10.1007/jhep11%282021%29014
• Araz, J. Y., Banerjee, S., Gupta, R. S., & Spannowsky, M. (2021). Precision SMEFT bounds from the VBF Higgs at high transverse momentum. Journal of High Energy Physics, 2021(4), Article 125. https://doi.org/10.1007/jhep04%282021%29125
• Araz, J. Y., & Spannowsky, M. (2021). Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States. Journal of High Energy Physics, 2021(8), https://doi.org/10.1007/jhep08%282021%29112
• Araz, J. Y., & Spannowsky, M. (2021). Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks. Journal of High Energy Physics, 2021(4), Article 296. https://doi.org/10.1007/jhep04%282021%29296
• Araz, J. Y., Conte, E., Ducrocq, R., Flacke, T., Fuks, B., Jeon, S. H., …Sengupta, D. (2021). Proceedings of the second MadAnalysis 5 workshop on LHC recasting in Korea. Modern Physics Letters A, 36(01), Article 2102001. https://doi.org/10.1142/s0217732321020016