Zobrazeno 1 - 10
of 498
pro vyhledávání: '"Derkach Denis"'
Publikováno v:
EPJ Web of Conferences, Vol 295, p 09008 (2024)
Calorimeters are a crucial component for most detectors mounted on modern colliders. Their tasks include identifying and measuring the energy of photons and neutral hadrons, recording energetic hadronic jets, and contributing to the identification of
Externí odkaz:
https://doaj.org/article/e56c2c29e4f643f9a54a838bc86be624
Autor:
Anderlini Lucio, Barbetti Matteo, Capelli Simone, Corti Gloria, Davis Adam, Derkach Denis, Kazeev Nikita, Maevskiy Artem, Martinelli Maurizio, Mokonenko Sergei, Siddi Benedetto G., Xu Zehua
Publikováno v:
EPJ Web of Conferences, Vol 295, p 03040 (2024)
Detailed detector simulation is the major consumer of CPU resources at LHCb, having used more than 90% of the total computing budget during Run 2 of the Large Hadron Collider at CERN. As data is collected by the upgraded LHCb detector during Run 3 of
Externí odkaz:
https://doaj.org/article/34de3d74fad64d83abc9a05314543c37
The application of machine learning (ML) algorithms in the intelligent diagnosis of three-phase engines has the potential to significantly enhance diagnostic performance and accuracy. Traditional methods largely rely on signature analysis, which, des
Externí odkaz:
http://arxiv.org/abs/2411.08582
We propose a new uncertainty estimator for gradient-free optimisation of black-box simulators using deep generative surrogate models. Optimisation of these simulators is especially challenging for stochastic simulators and higher dimensions. To addre
Externí odkaz:
http://arxiv.org/abs/2407.11917
Autor:
Ratnikov Fedor, Derkach Denis, Boldyrev Alexey, Shevelev Andrey, Fakanov Pavel, Matyushin Leonid
Publikováno v:
EPJ Web of Conferences, Vol 245, p 02019 (2020)
In this paper, we discuss the way advanced machine learning techniques allow physicists to perform in-depth studies of the realistic operating modes of the detectors during the stage of their design. Proposed approach can be applied to both design co
Externí odkaz:
https://doaj.org/article/b6c64c46c5704a88a6865bb964313037
Autor:
Anderlini, Lucio, Barbetti, Matteo, Capelli, Simone, Corti, Gloria, Davis, Adam, Derkach, Denis, Kazeev, Nikita, Maevskiy, Artem, Martinelli, Maurizio, Mokonenko, Sergei, Siddi, Benedetto Gianluca, Xu, Zehua
Detailed detector simulation is the major consumer of CPU resources at LHCb, having used more than 90% of the total computing budget during Run 2 of the Large Hadron Collider at CERN. As data is collected by the upgraded LHCb detector during Run 3 of
Externí odkaz:
http://arxiv.org/abs/2309.13213
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06011 (2019)
One of the most important aspects of data processing at flavor physics experiments is the particle identification (PID) algorithm. In LHCb, several different sub-detector systems provide PID information: the Ring Imaging Cherenkov detectors, the hadr
Externí odkaz:
https://doaj.org/article/5b3674e090194b878b79d433dabf6d99
There are many problems in physics, biology, and other natural sciences in which symbolic regression can provide valuable insights and discover new laws of nature. A widespread Deep Neural Networks do not provide interpretable solutions. Meanwhile, s
Externí odkaz:
http://arxiv.org/abs/2301.06064
Autor:
Temirkhanov, Aziz, Ryzhikov, Artem, Derkach, Denis, Hushchyn, Mikhail, Kazeev, Nikita, Mokhnenko, Sergei
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these approaches is their profound sensitivity to the biases in tra
Externí odkaz:
http://arxiv.org/abs/2212.07274
Autor:
UTfit Collaboration, Bona, Marcella, Ciuchini, Marco, Derkach, Denis, Ferrari, Fabio, Franco, Enrico, Lubicz, Vittorio, Martinelli, Guido, Morgante, Davide, Pierini, Maurizio, Silvestrini, Luca, Simula, Silvano, Stocchi, Achille, Tarantino, Cecilia, Vagnoni, Vincenzo, Valli, Mauro, Vittorio, Ludovico
Flavour mixing and CP violation as measured in weak decays and mixing of neutral mesons are a fundamental tool to test the Standard Model (SM) and to search for new physics. New analyses performed at the LHC experiment open an unprecedented insight i
Externí odkaz:
http://arxiv.org/abs/2212.03894