Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC
- DOI
- 10.1007/s41781-021-00055-1
- Published
- 2021-05-22
- Container
- Computing and Software for Big Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s41781-021-00055-1,
title = {Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC},
author = {Unknown and Andrea Valassi and Efe Yazgan and Josh McFayden and Simone Amoroso and Joshua Bendavid and Andy Buckley and Matteo Cacciari and Taylor Childers and Vitaliano Ciulli and Rikkert Frederix and Stefano Frixione and Francesco Giuli and Alexander Grohsjean and Christian Gütschow and Stefan Höche and Walter Hopkins and Philip Ilten and Dmitri Konstantinov and Frank Krauss and Qiang Li and Leif Lönnblad and Fabio Maltoni and Michelangelo Mangano and Zach Marshall and Olivier Mattelaer and Javier Fernandez Menendez and Stephen Mrenna and Servesh Muralidharan and Tobias Neumann and Simon Plätzer and Stefan Prestel and Stefan Roiser and Marek Schönherr and Holger Schulz and Markus Schulz and Elizabeth Sexton-Kennedy and Frank Siegert and Andrzej Siódmok and Graeme A. Stewart},
year = {2021},
journal = {Computing and Software for Big Science},
doi = {10.1007/s41781-021-00055-1},
url = {https://doi.org/10.1007/s41781-021-00055-1}
}RIS
TY - JOUR TI - Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC AU - Unknown AU - Andrea Valassi AU - Efe Yazgan AU - Josh McFayden AU - Simone Amoroso AU - Joshua Bendavid AU - Andy Buckley AU - Matteo Cacciari AU - Taylor Childers AU - Vitaliano Ciulli AU - Rikkert Frederix AU - Stefano Frixione AU - Francesco Giuli AU - Alexander Grohsjean AU - Christian Gütschow AU - Stefan Höche AU - Walter Hopkins AU - Philip Ilten AU - Dmitri Konstantinov AU - Frank Krauss AU - Qiang Li AU - Leif Lönnblad AU - Fabio Maltoni AU - Michelangelo Mangano AU - Zach Marshall AU - Olivier Mattelaer AU - Javier Fernandez Menendez AU - Stephen Mrenna AU - Servesh Muralidharan AU - Tobias Neumann AU - Simon Plätzer AU - Stefan Prestel AU - Stefan Roiser AU - Marek Schönherr AU - Holger Schulz AU - Markus Schulz AU - Elizabeth Sexton-Kennedy AU - Frank Siegert AU - Andrzej Siódmok AU - Graeme A. Stewart PY - 2021 JO - Computing and Software for Big Science DO - 10.1007/s41781-021-00055-1 UR - https://doi.org/10.1007/s41781-021-00055-1 ER -
APA
Unknown, Valassi, A., Yazgan, E., McFayden, J., Amoroso, S., Bendavid, J., Buckley, A., Cacciari, M., Childers, T., Ciulli, V., Frederix, R., Frixione, S., Giuli, F., Grohsjean, A., Gütschow, C., Höche, S., Hopkins, W., Ilten, P., Konstantinov, D., Krauss, F., Li, Q., Lönnblad, L., Maltoni, F., Mangano, M., Marshall, Z., Mattelaer, O., Menendez, J. F., Mrenna, S., Muralidharan, S., Neumann, T., Plätzer, S., Prestel, S., Roiser, S., Schönherr, M., Schulz, H., Schulz, M., Sexton-Kennedy, E., Siegert, F., Siódmok, A., & Stewart, G. A. (2021). Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC. Computing and Software for Big Science. https://doi.org/10.1007/s41781-021-00055-1
Source records
- crossref · retrieved 2026-09-25T12:53:43.765Z