{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/application-of-a-convolutional-neural-network","title":"Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics","arxiv_id":"1708.07034","date":"2017-08-23","proceeding":null,"authors":["Celia Fernández Madrazo","Ignacio Heredia Cacha","Lara Lloret Iglesias","Jesús Marco de Lucas"],"abstract":"The application of deep learning techniques using convolutional neural\nnetworks to the classification of particle collisions in High Energy Physics is\nexplored. An intuitive approach to transform physical variables, like momenta\nof particles and jets, into a single image that captures the relevant\ninformation, is proposed. The idea is tested using a well known deep learning\nframework on a simulation dataset, including leptonic ttbar events and the\ncorresponding background at 7 TeV from the CMS experiment at LHC, available as\nOpen Data. This initial test shows competitive results when compared to more\nclassical approaches, like those using feedforward neural networks.","url_abs":"http://arxiv.org/abs/1708.07034v1","url_pdf":"http://arxiv.org/pdf/1708.07034v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"application-of-a-convolutional-neural-network","repo_url":"https://github.com/jegarcian/hep-ml","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"application-of-a-convolutional-neural-network","repo_url":"https://github.com/jzyee/cms_image_classification","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"image-classification","task_name":"Image Classification"},{"task_slug":"image-classification","task_name":"image-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}