Geant-val
| Autor: | Grigorii Latyshev, Dmitri Konstantinov, Alberto Ribon, Luc Freyermuth, Ivan Razumov, W. Pokorski |
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| Přispěvatelé: | Ecole Internationale des Sciences du Traitement de l'Information (EISTI) |
| Rok vydání: | 2019 |
| Předmět: |
Large Hadron Collider
010308 nuclear & particles physics business.industry Detector Client-side JavaScript 01 natural sciences Computing and Computers Set (abstract data type) Computer engineering 0103 physical sciences Regression testing Web application [INFO]Computer Science [cs] 010306 general physics business computer computer.programming_language Statistical hypothesis testing |
| Zdroj: | EPJ Web Conf. 23rd International Conference on Computing in High Energy and Nuclear Physics 23rd International Conference on Computing in High Energy and Nuclear Physics, Jul 2018, Sofia, Bulgaria. pp.05002, ⟨10.1051/epjconf/201921405002⟩ |
| ISSN: | 2100-014X |
| Popis: | One of the key factors for the successful development of Monte- Carlo programs for physics simulations is to properly organize regression testing and validation. Geant4, the world-standard toolkit for HEP detector simulation, heavily relies on this activity. The CERN SFT group, which contributes to the development, testing, deployment and support of the toolkit, is also in charge of running on a monthly basis a set of community-developed tests using the development releases of Geant4. We present the web application Geant-val developed for visualizing the results of these tests so that comparisons between different Geant4 releases can be made. The application is written using the Express.js, Node.js and Angular frameworks and uses PostgreSQL for storing test results. Test results are visualised using ROOT and JSROOT. In addition to pure visual comparisons, we perform different statistical tests (χ2, Kolmogorov- Smirnov, etc.) on the client side using JavaScript Web Workers. |
| Databáze: | OpenAIRE |
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