SPARKX: A Software Package for Analyzing Relativistic Kinematics in Collision Experiments
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866917233679138816 |
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| author | Sass, Nils Roch, Hendrik Götz, Niklas Krupczak, Renata Rosenkvist, Carl B. |
| author_facet | Sass, Nils Roch, Hendrik Götz, Niklas Krupczak, Renata Rosenkvist, Carl B. |
| contents | SPARKX is an open-source Python package developed to analyze simulation data from heavy-ion collision experiments. By offering a comprehensive suite of tools, SPARKX simplifies data analysis workflows, supports multiple formats such as OSCAR2013, and integrates seamlessly with SMASH and JETSCAPE/X-SCAPE. This paper describes SPARKX's architecture, features, and applications and demonstrates its effectiveness through detailed examples and performance benchmarks. SPARKX enhances productivity and precision in relativistic kinematics studies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_09415 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | SPARKX: A Software Package for Analyzing Relativistic Kinematics in Collision Experiments Sass, Nils Roch, Hendrik Götz, Niklas Krupczak, Renata Rosenkvist, Carl B. Data Analysis, Statistics and Probability High Energy Physics - Phenomenology Nuclear Theory SPARKX is an open-source Python package developed to analyze simulation data from heavy-ion collision experiments. By offering a comprehensive suite of tools, SPARKX simplifies data analysis workflows, supports multiple formats such as OSCAR2013, and integrates seamlessly with SMASH and JETSCAPE/X-SCAPE. This paper describes SPARKX's architecture, features, and applications and demonstrates its effectiveness through detailed examples and performance benchmarks. SPARKX enhances productivity and precision in relativistic kinematics studies. |
| title | SPARKX: A Software Package for Analyzing Relativistic Kinematics in Collision Experiments |
| topic | Data Analysis, Statistics and Probability High Energy Physics - Phenomenology Nuclear Theory |
| url | https://arxiv.org/abs/2503.09415 |