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  • Large Hadron Collider (LHC)

Publications
  • 2B or not 2B, a study of bottom-quark-philic semi-visible jets
    by Deepak Kar, Wandile Nzuza, Sukanya Sinha,
    SciPost Phys. Core 7, 071 (2024)
  • Global LHC constraints on electroweak-inos with SModelS v2.3
    by Mohammad Mahdi Altakach, Sabine Kraml, Andre Lessa, Sahana Narasimha, Timothée Pascal, Théo Reymermier, Wolfgang Waltenberger,
    SciPost Phys. 16, 101 (2024)
  • Machine learning and LHC event generation
    by Anja Butter, Tilman Plehn, Steffen Schumann, Simon Badger, Sascha Caron, Kyle Cranmer, Francesco Armando Di Bello, Etienne Dreyer, Stefano Forte, Sanmay Ganguly, Dorival Gonçalves, Eilam Gross, Theo Heimel, Gudrun Heinrich, Lukas Heinrich, Alexander Held, Stefan Höche, Jessica N. Howard, Philip Ilten, Joshua Isaacson, Timo Janßen, Stephen Jones, Marumi Kado, Michael Kagan, Gregor Kasieczka, Felix Kling, Sabine Kraml, Claudius Krause, Frank Krauss, Kevin Kröninger, Rahool Kumar Barman, Michel Luchmann, Vitaly Magerya, Daniel Maitre, Bogdan Malaescu, Fabio Maltoni, Till Martini, Olivier Mattelaer, Benjamin Nachman, Sebastian Pitz, Juan Rojo, Matthew Schwartz, David Shih, Frank Siegert, Roy Stegeman, Bob Stienen, Jesse Thaler, Rob Verheyen, Daniel Whiteson, Ramon Winterhalder, Jure Zupan,
    SciPost Phys. 14, 079 (2023)
  • Strength in numbers: Optimal and scalable combination of LHC new-physics searches
    by Jack Y. Araz, Andy Buckley, Benjamin Fuks, Humberto Reyes-Gonzalez, Wolfgang Waltenberger, Sophie L. Williamson, Jamie Yellen,
    SciPost Phys. 14, 077 (2023)
  • Reinterpretation of LHC Results for New Physics: Status and recommendations after Run 2
    by Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov, Amine Ahriche, Gaël Alguero, Benjamin C. Allanach, Jack Y. Araz, Alexandre Arbey, Chiara Arina, Peter Athron, Emanuele Bagnaschi, Yang Bai, Michael J. Baker, Csaba Balazs, Daniele Barducci, Philip Bechtle, Aoife Bharucha, Andy Buckley, Jonathan Butterworth, Haiying Cai, Claudio Campagnari, Cari Cesarotti, Marcin Chrzaszcz, Andrea Coccaro, Eric Conte, Jonathan M. Cornell, Louie Dartmoor Corpe, Matthias Danninger, Luc Darmé, Aldo Deandrea, Nishita Desai, Barry Dillon, Caterina Doglioni, Juhi Dutta, John R. Ellis, Sebastian Ellis, Farida Fassi, Matthew Feickert, Nicolas Fernandez, Sylvain Fichet, Jernej F. Kamenik, Thomas Flacke, Benjamin Fuks, Achim Geiser, Marie-Hélène Genest, Akshay Ghalsasi, Tomas Gonzalo, Mark Goodsell, Stefania Gori, Philippe Gras, Admir Greljo, Diego Guadagnoli, Sven Heinemeyer, Lukas A. Heinrich, Jan Heisig, Deog Ki Hong, Tetiana Hryn'ova, Katri Huitu, Philip Ilten, Ahmed Ismail, Adil Jueid, Felix Kahlhoefer, Jan Kalinowski, Deepak Kar, Yevgeny Kats, Charanjit K. Khosa, Valeri Khoze, Tobias Klingl, Pyungwon Ko, Kyoungchul Kong, Wojciech Kotlarski, Michael Krämer, Sabine Kraml, Suchita Kulkarni, Anders Kvellestad, Clemens Lange, Kati Lassila-Perini, Seung J. Lee, Andre Lessa, Zhen Liu, Lara Lloret Iglesias, Jeanette M. Lorenz, Danika MacDonell, Farvah Mahmoudi, Judita Mamuzic, Andrea C. Marini, Pete Markowitz, Pablo Martinez Ruiz del Arbol, David Miller, Vasiliki Mitsou, Stefano Moretti, Marco Nardecchia, Siavash Neshatpour, Dao Thi Nhung, Per Osland, Patrick H. Owen, Orlando Panella, Alexander Pankov, Myeonghun Park, Werner Porod, Darren Price, Harrison Prosper, Are Raklev, Jürgen Reuter, Humberto Reyes-González, Thomas Rizzo, Tania Robens, Juan Rojo, Janusz A. Rosiek, Oleg Ruchayskiy, Veronica Sanz, Kai Schmidt-Hoberg, Pat Scott, Sezen Sekmen, Dipan Sengupta, Elizabeth Sexton-Kennedy, Hua-Sheng Shao, Seodong Shin, Luca Silvestrini, Ritesh Singh, Sukanya Sinha, Jory Sonneveld, Yotam Soreq, Giordon H. Stark, Tim Stefaniak, Jesse Thaler, Riccardo Torre, Emilio Torrente-Lujan, Gokhan Unel, Natascia Vignaroli, Wolfgang Waltenberger, Nicholas Wardle, Graeme Watt, Georg Weiglein, Martin J. White, Sophie L. Williamson, Jonas Wittbrodt, Lei Wu, Stefan Wunsch, Tevong You, Yang Zhang, José Zurita,
    SciPost Phys. 9, 022 (2020)
  • A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty
    by Benjamin Nachman,
    SciPost Phys. 8, 090 (2020)
  • How to GAN away detector effects
    by Marco Bellagente, Anja Butter, Gregor Kasieczka, Tilman Plehn, Ramon Winterhalder,
    SciPost Phys. 8, 070 (2020)
  • Multi-scale mining of kinematic distributions with wavelets
    by Ben G. Lillard, Tilman Plehn, Alexis Romero, Tim M. P. Tait,
    SciPost Phys. 8, 043 (2020)
  • A global view of the off-shell Higgs portal
    by Maximilian Ruhdorfer, Ennio Salvioni, Andreas Weiler,
    SciPost Phys. 8, 027 (2020)
  • Robust Independent Validation of Experiment and Theory: Rivet version 3
    by Christian Bierlich, Andy Buckley, Jonathan Butterworth, Christian Holm Christensen, Louie Corpe, David Grellscheid, Jan Fiete Grosse-Oetringhaus, Christian Gutschow, Przemyslaw Karczmarczyk, Jochen Klein, Leif Lonnblad, Christopher Samuel Pollard, Peter Richardson, Holger Schulz, Frank Siegert,
    SciPost Phys. 8, 026 (2020)
  • Fast simulation of detector effects in Rivet
    by Andy Buckley, Deepak Kar, Karl Nordström,
    SciPost Phys. 8, 025 (2020)
  • CapsNets continuing the convolutional quest
    by Sascha Diefenbacher, Hermann Frost, Gregor Kasieczka, Tilman Plehn, Jennifer M. Thompson,
    SciPost Phys. 8, 023 (2020)
  • Deep-learning jets with uncertainties and more
    by Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn, Jennifer Thompson,
    SciPost Phys. 8, 006 (2020)
  • How to GAN LHC events
    by Anja Butter, Tilman Plehn, Ramon Winterhalder,
    SciPost Phys. 7, 075 (2019)
  • Real-time discrimination of photon pairs using machine learning at the LHC
    by Sean Benson, Adrián Casais Vidal, Xabier Cid Vidal, Albert Puig Navarro,
    SciPost Phys. 7, 062 (2019)
  • Constraining new physics from Higgs measurements with Lilith: update to LHC Run 2 results
    by Sabine Kraml, Tran Quang Loc, Dao Thi Nhung, Le Duc Ninh,
    SciPost Phys. 7, 052 (2019)
  • Probing proton structure at the Large Hadron electron Collider
    by Rabah Abdul Khalek, Shaun Bailey, Jun Gao, Lucian Harland-Lang, Juan Rojo,
    SciPost Phys. 7, 051 (2019)
  • Event generation with Sherpa 2.2
    by Enrico Bothmann, Gurpreet Singh Chahal, Stefan Höche, Johannes Krause, Frank Krauss, Silvan Kuttimalai, Sebastian Liebschner, Davide Napoletano, Marek Schönherr, Holger Schulz, Steffen Schumann, Frank Siegert,
    SciPost Phys. 7, 034 (2019)
  • Quark-gluon tagging: Machine learning vs detector
    by Gregor Kasieczka, Nicholas Kiefer, Tilman Plehn, Jennifer M. Thompson,
    SciPost Phys. 6, 069 (2019)
  • First steps towards the reconstruction of the squark flavour structure
    by Jordan Bernigaud, Björn Herrmann,
    SciPost Phys. 6, 066 (2019)
  • The Gauge-Higgs legacy of the LHC run II
    by Anke Biekoetter, Tyler Corbett, Tilman Plehn,
    SciPost Phys. 6, 064 (2019)
  • Dark matter in anomaly-free gauge extensions
    by Martin Bauer, Sascha Diefenbacher, Tilman Plehn, Michael Russell, Daniel A. Camargo,
    SciPost Phys. 5, 036 (2018)
  • Actual Physics behind Mono-X
    by Elias Bernreuther, Jan Horak, Tilman Plehn, Anja Butter,
    SciPost Phys. 5, 034 (2018)
  • Illuminating the photon content of the proton within a global PDF analysis
    by Valerio Bertone, Stefano Carrazza, Nathan P. Hartland, Juan Rojo,
    SciPost Phys. 5, 008 (2018)
  • Strongly Interacting Light Dark Matter
    by Sebastian Bruggisser, Francesco Riva, Alfredo Urbano,
    SciPost Phys. 3, 017 (2017)
Submissions (unpublished only)
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