Gene Expression Programming Approach to Event Selection in High Energy Physics
نویسندگان
چکیده
منابع مشابه
Application of Genetic Programming to High Energy Physics Event Selection
We review genetic programming principles, their application to FOCUS data samples, and use the method to study the doubly Cabibbo suppressed decay D → Kπ+π− relative to its Cabibbo favored counterpart, D → Kππ. We find that this technique is able to improve upon more traditional analysis methods. To our knowledge, this is the first application of the genetic programming technique to High Energy...
متن کاملApplication of Genetic Programming to High Energy Physics Event Selection The FOCUS Collaboration
We review genetic programming principles, their application to FOCUS data samples, and use the method to study the doubly Cabibbo suppressed decay D → Kπ+π− relative to its Cabibbo favored counterpart, D → Kππ. We find that this technique is able to improve upon more traditional analysis methods. To our knowledge, this is the first application of the genetic programming technique to High Energy...
متن کامل5 Application of Genetic Programming to High Energy Physics Event Selection
We review genetic programming principles, their application to FOCUS data samples, and use the method to study the doubly Cabibbo suppressed decay D → Kπ+π− relative to its Cabibbo favored counterpart, D → Kππ. We find that this technique is able to improve upon more traditional analysis methods. To our knowledge, this is the first application of the genetic programming technique to High Energy...
متن کاملM ay 2 00 5 Application of Genetic Programming to High Energy Physics Event Selection
We review genetic programming principles, their application to FOCUS data samples, and use the method to study the doubly Cabibbo suppressed decay D → Kπ+π− relative to its Cabibbo favored counterpart, D → Kππ. We find that this technique is able to improve upon more traditional analysis methods. To our knowledge, this is the first application of the genetic programming technique to High Energy...
متن کاملMachine learning for event selection in high energy physics
The field of high energy physics aims to discover the underlying structure of matter by searching for and studying exotic particles, such as the top quark and Higgs boson, produced in collisions at modern accelerators. Since such accelerators are extraordinarily expensive, extracting maximal information from the resulting data is essential. However, most accelerator events do not produce partic...
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ژورنال
عنوان ژورنال: IEEE Transactions on Nuclear Science
سال: 2006
ISSN: 0018-9499
DOI: 10.1109/tns.2006.878571