Search arXivSearch

arXiv · 2008.13636

HL-LHC Computing Review: Common Tools and Community Software

HEP Software Foundation·:·Thea Aarrestad·Simone Amoroso·Markus Julian Atkinson·Joshua Bendavid·Tommaso Boccali·Andrea Bocci·Andy Buckley·Matteo Cacciari·Paolo Calafiura·Philippe Canal·Federico Carminati·Taylor Childers·Vitaliano Ciulli·Gloria Corti·Davide Costanzo·Justin Gage Dezoort·Caterina Doglioni·Javier Mauricio Duarte·Agnieszka Dziurda·Peter Elmer·Markus Elsing·V. Daniel Elvira·Giulio Eulisse·Javier Fernandez Menendez·Conor Fitzpatrick·Rikkert Frederix·Stefano Frixione·Krzysztof L Genser·Andrei Gheata·Francesco Giuli·Vladimir V. Gligorov·Hadrien Benjamin Grasland·Heather Gray·Lindsey Gray·Alexander Grohsjean·Christian Gütschow·Stephan Hageboeck·Philip Coleman Harris·Benedikt Hegner·Lukas Heinrich·Burt Holzman·Walter Hopkins·Shih-Chieh Hsu·Stefan Höche·Philip James Ilten·Vladimir Ivantchenko·Chris Jones·Michel Jouvin·Teng Jian Khoo·Ivan Kisel·Kyle Knoepfel·Dmitri Konstantinov·Attila Krasznahorkay·Frank Krauss·Benjamin Edward Krikler·David Lange·Paul Laycock·Qiang Li·Kilian Lieret·Miaoyuan Liu·Vladimir Loncar·Leif Lönnblad·Fabio Maltoni·Michelangelo Mangano·Zachary Louis Marshall·Pere Mato·Olivier Mattelaer·Joshua Angus McFayden·Samuel Meehan·Alaettin Serhan Mete·Ben Morgan·Stephen Mrenna·Servesh Muralidharan·Ben Nachman·Mark S. Neubauer·Tobias Neumann·Jennifer Ngadiuba·Isobel Ojalvo·Kevin Pedro·Maurizio Perini·Danilo Piparo·Jim Pivarski·Simon Plätzer·Witold Pokorski·Adrian Alan Pol·Stefan Prestel·Alberto Ribon·Martin Ritter·Andrea Rizzi·Eduardo Rodrigues·Stefan Roiser·Holger Schulz·Markus Schulz·Marek Schönherr·Elizabeth Sexton-Kennedy·Frank Siegert·Andrzej Siódmok·Graeme A Stewart

Abstract

Common and community software packages, such as ROOT, Geant4 and event generators have been a key part of the LHC's success so far and continued development and optimisation will be critical in the future. The challenges are driven by an ambitious physics programme, notably the LHC accelerator upgrade to high-luminosity, HL-LHC, and the corresponding detector upgrades of ATLAS and CMS. In this document we address the issues for software that is used in multiple experiments (usually even more widely than ATLAS and CMS) and maintained by teams of developers who are either not linked to a particular experiment or who contribute to common software within the context of their experiment activity. We also give space to general considerations for future software and projects that tackle upcoming challenges, no matter who writes it, which is an area where community convergence on best practice is extremely useful.

Explore related subjects

Keep this discovery

BibTeXRIS

HEP Software Foundation, :, Thea Aarrestad, Simone Amoroso, Markus Julian Atkinson, Joshua Bendavid, Tommaso Boccali, Andrea Bocci, Andy Buckley, Matteo Cacciari, Paolo Calafiura, Philippe Canal, Federico Carminati, Taylor Childers, Vitaliano Ciulli, Gloria Corti, Davide Costanzo, Justin Gage Dezoort, Caterina Doglioni, Javier Mauricio Duarte, Agnieszka Dziurda, Peter Elmer, Markus Elsing, V. Daniel Elvira, Giulio Eulisse, Javier Fernandez Menendez, Conor Fitzpatrick, Rikkert Frederix, Stefano Frixione, Krzysztof L Genser, Andrei Gheata, Francesco Giuli, Vladimir V. Gligorov, Hadrien Benjamin Grasland, Heather Gray, Lindsey Gray, Alexander Grohsjean, Christian Gütschow, Stephan Hageboeck, Philip Coleman Harris, Benedikt Hegner, Lukas Heinrich, Burt Holzman, Walter Hopkins, Shih-Chieh Hsu, Stefan Höche, Philip James Ilten, Vladimir Ivantchenko, Chris Jones, Michel Jouvin, Teng Jian Khoo, Ivan Kisel, Kyle Knoepfel, Dmitri Konstantinov, Attila Krasznahorkay, Frank Krauss, Benjamin Edward Krikler, David Lange, Paul Laycock, Qiang Li, Kilian Lieret, Miaoyuan Liu, Vladimir Loncar, Leif Lönnblad, Fabio Maltoni, Michelangelo Mangano, Zachary Louis Marshall, Pere Mato, Olivier Mattelaer, Joshua Angus McFayden, Samuel Meehan, Alaettin Serhan Mete, Ben Morgan, Stephen Mrenna, Servesh Muralidharan, Ben Nachman, Mark S. Neubauer, Tobias Neumann, Jennifer Ngadiuba, Isobel Ojalvo, Kevin Pedro, Maurizio Perini, Danilo Piparo, Jim Pivarski, Simon Plätzer, Witold Pokorski, Adrian Alan Pol, Stefan Prestel, Alberto Ribon, Martin Ritter, Andrea Rizzi, Eduardo Rodrigues, Stefan Roiser, Holger Schulz, Markus Schulz, Marek Schönherr, Elizabeth Sexton-Kennedy, Frank Siegert, Andrzej Siódmok, Graeme A Stewart. 2020-08-31. HL-LHC Computing Review: Common Tools and Community Software. https://doi.org/10.5281/zenodo.4009114

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

A Geometrically Parameterized Quasi-Stationary 3D Model for High-Frequency Induction Tube Welding

A three-dimensional multiphysics finite element framework for the simulation of high-frequency induction welding of tubes is presented. The model couples a time-harmonic magnetic scalar potential formulation with a stabilized quasi-stationary advection-diffusion heat transport equation, enabling accurate prediction of electromagnetic and thermal fields under industrial operating conditions. The framework incorporates parameterized geometry generation and semi-automated, physics-tailored mesh construction and is implemented using the open-source tools GetDP and Gmsh. Validation against measurements from a commercial induction welding line for AISI 304 stainless steel tubes demonstrates good agreement with operating data. The validated model is subsequently applied to investigate the influence of impeder material by comparing a conventional FeNiZnV ferrite with the soft magnetic composite Ferrotron 559H for the induction welding of AISI 304 stainless steel tubes.

physics.comp-ph

Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts

Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation. Downscaling with either dynamical or deep generative models can overcome this issue, but the comparative performance of these models for extremes across different atmospheric regimes remains poorly understood. In this work, we evaluate the Weather Research and Forecasting (WRF) model against a diffusion-based generative model by downscaling two physically distinct, extreme precipitation events up to lead times of 3 weeks. For a fair comparison with WRF, which can downscale boundary conditions from different driving models without model-specific training, the diffusion model is trained in an unpaired fashion. Both approaches improve upon the raw European Centre for Medium-Range Weather Forecasts forecasts, in comparison to fused rain gauge-radar observations in Switzerland (CombiPrecip), but exhibit regime-dependent strengths. WRF achieves the highest probabilistic skill for a multicell, non-stationary event. Conversely, the diffusion model is more consistent across different performance metrics for the two events, outperforming WRF in a more stationary supercell event. These results demonstrate that explicit dynamical modeling can add value for specific precipitation events for subseasonal lead times, and that generative downscaling adds value more broadly in different situations.

physics.comp-ph

Nonlinear flame describing function and mean shift kinematics of slit flames under combined axial-transverse forcing

This study investigates the nonlinear kinematics of a premixed slit flame using a two-dimensional $G$-equation level-set framework. Results show that combined forcing induces nonlinear saturation in the FDF, characterized by early gain flattening and premature phase drops, which intensify with the transverse forcing amplitude. Kinematic analysis reveals that this geometric nonlinearity manifests as a reduction in the time-averaged flame height, defined as the mean shift. In the quasi-steady limit, this mean shift is analytically quantified via a multivariate asymptotic expansion, where fourth-order terms successfully capture the saturation mechanism at elevated amplitudes. By introducing a scaling parameter to account for transverse dominance, the frequency-dependent decay of the mean shift in the compact limit collapses onto a single master curve, enabling the derivation of a unified theoretical model that integrates this asymptotic response with a second-order low-pass filter. Furthermore, because the mean shift reduces the physical extent of the flame, it alters the wrinkle propagation time. Correcting the Strouhal number using the measured mean shift collapses the dispersed nonlinear FDF curves onto the linear theory prediction. The analysis is further extended to disturbances convected at a finite speed, for which the linear transfer function is derived analytically and the correction with the measured mean shift continues to collapse the nonlinear FDF. These findings establish that the nonlinear FDF behavior under multidimensional forcing is fundamentally governed by the kinematic mean shift, providing a theoretical baseline for decoupling geometric nonlinearities from other thermo-diffusive or hydrodynamic instabilities in turbulent flames.

physics.comp-ph