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Conference proceeding
Sustainability of the Merlin plus plus particle tracking code
23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018), v 214
01 Jan 2019
Abstract
Merlin++ is a C++ particle accelerator and particle tracking library originally developed at DESY for use in International Linear Collider (ILC) simulations. Merlin++ has more recently been adapted for High-Luminosity Large Hadron Collider (HL-LHC) collimation studies, utilizing advanced scattering physics. However, as is all too common in long-standing high-energy physics software, recent developments have focused on functional additions rather than code design and maintainability. This has resulted in usability issues for users and developers alike. The following presents recent improvements in adhering to modern software sustainability practices to address these issues. Quantifiable improvements in code complexity and maintainability are presented via appropriate test metrics and the evolution of the software architecture is analyzed. Experiences and conclusions of applying modern sustainability methodology to longstanding scientific software are discussed.
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Details
- Title
- Sustainability of the Merlin plus plus particle tracking code
- Creators
- Scott Rowan - Department of Engineering and TechnologySam Tygier - Cockcroft InstituteYuanfang Cai - Drexel UniversityColin C. Venters - Department of Computer ScienceRobert B. Appleby - Cockcroft InstituteRoger J. Barlow - Department of Engineering and Technology
- Contributors
- A Forti (Editor)L Betev (Editor)M Litmaath (Editor)O Smirnova (Editor)P Hristov (Editor)
- Publication Details
- 23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018), v 214
- Series
- EPJ Web of Conferences
- Publisher
- E D P Sciences
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000570241300246
- Other Identifier
- 991019167690104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Physics, Nuclear
- Physics, Particles & Fields