Principal Investigator | ||
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Prof. Michael Krämer | RWTH Aachen University | |
Prof. Tilman Plehn | Heidelberg University |
In this project we will investigate a wide range of deep-learning paradigms and algorithms for anomaly searches at the LHC. Semi-supervised, weakly-supervised, or unsupervised training can be used to achieve sensitivity to weak or complex New Physics signals (anomalies) in a largely model-independent way. These concepts will be developed for QCD jets, i.e., for analysis objects that are present in huge quantities at the LHC and whose dynamics is well understood within the Standard Model. We will systematically explore various machine learning architectures, such as autoencoders, normalising flows and transformer networks, trained using different jet-data formats, ranging from images to point clouds and higher-level observables such as energy flow polynomials.
P3H-24-080 |
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Title: Semi-visible jets, energy-based models, and self-supervision |
Type: Paper |
Authors: Luigi Favaro, Michael Krämer, Tanmoy Modak, Tilman Plehn, Jan Rüschkamp |
arXiv:2312.03067 |
Info: |
P3H-24-079 |
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Title: The Fundamental Limit of Jet Tagging |
Type: Paper |
Authors: Joep Geuskens, Nishank Gite, Michael Krämer, Vinicius Mikuni, Alexander Mück, Benjamin Nachman, Humberto Reyes-González |
arXiv:2411.02628 |
Info: |
P3H-23-109 |
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Title: Semi-visible jets, energy-based models, and self-supervision |
Type: Paper |
Authors: L. Favaro, M. Krämer, T. Modak, T. Plehn and J. Rüschkamp |
arXiv: 2312.03067 |
Info: |
P3H-23-067 |
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Title: Back to the Roots: Tree-Based Algorithms for Weakly Supervised Anomaly Detection |
Type: Paper |
Authors: Thorben Finke, Marie Hein, Gregor Kasieczka, Michael Krämer, Alexander Mück, Parada Prangchaikul, Tobias Quadfasel, David Shih, Manuel Sommerhalder |
arXiv: arXiv:2309.13111 |
Info: Published in Phys.Rev.D 109 (2024) 3, 034033 |
P3H-23-052 |
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Title: Anomalies, representations, and self-supervision |
Type: Paper |
Authors: B. M. Dillon, L. Favaro, F. Feiden, T. Modak and T. Plehn |
arXiv: 2301.04660 |
Info: SciPost Phys. Core 7, 056 (2024) |
P3H-23-019 |
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Title: Learning the language of QCD jets with transformers |
Type: Paper |
Authors: Thorben Finke, Michael Krämer, Alexander Mück, Jan Tönshoff |
arXiv: 2303.07364 |
Info: Published in JHEP 06 (2023) 184 |
P3H-22-140 |
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Title: Performance versus resilience in modern quark-gluon tagging |
Type: Paper |
Authors: A. Butter, B. M. Dillon, T. Plehn and L. Vogel |
arXiv: 2212.10493 |
Info: Published in SciPost Phys. Core 6, 085 (2023) |
P3H-22-135 |
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Title: What's anomalous in LHC jets? |
Type: Paper |
Authors: T. Buss, B. M. Dillon, T. Finke, M. Kr\“amer, A. Morandini, A. M\”uck, I. Oleksiyuk and T. Plehn |
arXiv: 2202.00686 |
Info: Published in SciPost Phys. 15, no.4, 168 (2023) |
P3H-22-116 |
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Title: A normalized autoencoder for LHC triggers |
Type: Paper |
Authors: B. M. Dillon, L. Favaro, T. Plehn, P. Sorrenson and M. Krämer |
arXiv: 2206.14225 |
Info: Published in SciPost Phys. Core 6, 074 (2023) |
P3H-21-113 |
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Title: Classification of Fermi-LAT blazars with Bayesian neural networks |
Type: Paper |
Authors: A. Butter, T. Finke, F. Keil, M. Krämer and S. Manconi |
arXiv:2112.01403 |
Info: Published in JCAP 04 (2022) no.04, 023 |
P3H-21-109 |
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Title: Symmetries, safety, and self-supervision |
Type: Paper |
Authors: B. M. Dillon, G. Kasieczka, H. Olischlager, T. Plehn, P. Sorrenson and L. Vogel |
arXiv:2108.04253 |
Info: Published in SciPost Phys. 12, no.6, 188 (2022) |
P3H-21-107 |
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Title: Unsupervised hadronic SUEP at the LHC |
Type: Paper |
Authors: J. Barron, D. Curtin, G. Kasieczka, T. Plehn and A. Spourdalakis |
arXiv:2107.12379 |
Info: Published in JHEP 12, 129 (2021) |
P3H-21-106 |
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Title: Better Latent Spaces for Better Autoencoders |
Type: Paper |
Authors: B. M. Dillon, T. Plehn, C. Sauer and P. Sorrenson |
arXiv:2104.08291 |
Info: Published in SciPost Phys. 11, 061 (2021) |
P3H-20-095 |
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Title: Measuring QCD Splittings with Invertible Networks |
Type: Paper |
Authors: S. Bieringer, A. Butter, T. Heimel, S. Höche, U. Köthe, T. Plehn and S. T. Radev |
arXiv:2012.09873 |
Info: Published in SciPost Phys. 10, no.6, 126 (2021) |
P3H-20-025 |
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Title: Casting a graph net to catch dark showers |
Type: Paper |
Authors: Elias Bernreuther, Thorben Finke, Felix Kahlhoefer, Michael Krämer and Alexander Mück |
arXiv: 2006.08639 |
Info:Published in: SciPost Phys. 10 (2021) 046 |