Publications associated to this Organization :

2023

• Unweighting multijet event generation using factorisation-aware neural networks
  by Timo Janßen, Daniel Maître, Steffen Schumann, Frank Siegert, Henry Truong,
  SciPost Phys. 15, 107 (2023)
• Introduction to Hamiltonian formulation of general relativity and homogeneous cosmologies
  by Rishabh Jha,
  SciPost Phys. Lect. Notes 73 (2023)
• 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)
• A standard convention for particle-level Monte Carlo event-variation weights
  by Enrico Bothmann, Andy Buckley, Christian Gütschow, Stefan Prestel, Marek Schönherr, Peter Skands, Jeppe R. Andersen, Saptaparna Bhattacharya, Jonathan Butterworth, Gurpreet Singh Chahal, Louie Corpe, Leif Gellersen, Matthew Gignac, Stefan Höche, Deepak Kar, Frank Krauss, Jan Kretzschmar, Leif Lönnblad, Josh McFayden, Andreas Papaefstathiou, Simon Plätzer, Steffen Schumann, Michael H. Seymour, Frank Siegert, Andrzej Siódmok,
  SciPost Phys. Core 6, 007 (2023)

2022

• Codebase release 1.0 for BlockGen
  by Enrico Bothmann, Walter Giele, Stefan Hoeche, Joshua Isaacson, Max Knobbe,
  SciPost Phys. Codebases 3-r1.0 (2022)
• Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators
  by Enrico Bothmann, Walter Giele, Stefan Hoeche, Joshua Isaacson, Max Knobbe,
  SciPost Phys. Codebases 3 (2022)
• Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates
  by Katharina Danziger, Timo Janßen, Steffen Schumann, Frank Siegert,
  SciPost Phys. 12, 164 (2022)

2021

• Efficient and flexible approach to simulate low-dimensional quantum lattice models with large local Hilbert spaces
  by Thomas Köhler, Jan Stolpp, Sebastian Paeckel,
  SciPost Phys. 10, 058 (2021)
• Bridging nano-optics and condensed matter formalisms in a unified description of inelastic scattering of relativistic electron beams
  by Hugo Lourenço-Martins, Axel Lubk, Mathieu Kociak,
  SciPost Phys. 10, 031 (2021)

2020

• Exploring phase space with Neural Importance Sampling
  by Enrico Bothmann, Timo Janßen, Max Knobbe, Tobias Schmale, Steffen Schumann,
  SciPost Phys. 8, 069 (2020)

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)

2018

• Analysis of the buildup of spatiotemporal correlations and their bounds outside of the light cone
  by Nils O. Abeling, Lorenzo Cevolani, Stefan Kehrein,
  SciPost Phys. 5, 052 (2018)
• Quantum dynamics in transverse-field Ising models from classical networks
  by Markus Schmitt, Markus Heyl,
  SciPost Phys. 4, 013 (2018)

2017

• Automated construction of $U(1)$-invariant matrix-product operators from graph representations
  by Sebastian Paeckel, Thomas Köhler, Salvatore R. Manmana,
  SciPost Phys. 3, 035 (2017)

2016