首页|Recent Findings in Machine Learning Described by Researchers from TRIUMF (Improved Calorimetric Particle Identification In Na62 Using Machine Learning Techniques)
Recent Findings in Machine Learning Described by Researchers from TRIUMF (Improved Calorimetric Particle Identification In Na62 Using Machine Learning Techniques)
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Researchers detail new data in Machine Learning. According to news originating from Vancouver, Canada, by NewsRx correspondents, research stated, “Measurement of the ultra-rare K+ ->pi(+)nu(nu) over bar over bar decay at the NA62 experiment at CERN requires high-performance particle identification to distinguish muons from pions. Calorimetric identification currently in use, based on a boosted decision tree algorithm, achieves a muon misidentification probability of 1.2 x 10(-5) for a pion identification efficiency of 75% in the momentum range of 15-40 GeV/c.” Financial supporters for this research include Fonds de la Recherche Scientifique FNRS, CECI (Consortium des Equipements de Calcul Intensif) Fondsde la Recherche Scientifique de Belgique (F.R.S.-FNRS), Walloon Region, Belgium, Natural Sciences and Engineering Research Council of Canada (NSERC), MEYS (Ministry of Education, Youth and Sports), Czech Republic, Federal Ministry of Education & Research (BMBF), Istituto Nazionale di Fisica Nucleare (INFN), Ministry of Education, Universities and Research (MIUR), Consejo Nacional de Ciencia y Tecnologia (CONACyT), IFA (Institute of Atomic Physics) Romanian CERN-RO, Nucleus Programme, Romania, MESRS (Ministry of Education, Science, Research and Sport), Slovakia, CERN (European Organization for Nuclear Research), Switzerland, STFC(Science and Technology Facilities Council), United Kingdom, National Science Foundation (NSF), ERC (European Research Council)”UniversaLepto”, KaonLepton, Europe, Charles University Research Center, Czech Republic, Ministero dell’Istruzione, dell’Universita e della Ricerca(MIUR Futuro in ricerca), Italy, Royal Society, STFC (Rutherford fellowships), United Kingdom, European Research Council (ERC), EU Horizon 2020 (Marie Sklodowska-Curie).
VancouverCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTRIUMF
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