Zobrazeno 1 - 10
of 562
pro vyhledávání: '"PAPP, Gábor"'
Hadronization is a non-perturbative process, which theoretical description can not be deduced from first principles. Modeling hadron formation requires several assumptions and various phenomenological approaches. Utilizing state-of-the-art Deep Learn
Externí odkaz:
http://arxiv.org/abs/2408.17130
Autor:
Chen, Xiangna, Liu, Feiyi, Deng, Weibing, Chen, Shiyang, Shen, Jianmin, Papp, Gabor, Li, Wei, Yang, Chunbin
Machine learning techniques exhibit significant performance in discriminating different phases of matter and provide a new avenue for studying phase transitions. We investigate the phase transitions of three dimensional $q$-state Potts model on cubic
Externí odkaz:
http://arxiv.org/abs/2312.02479
Objective: Proton therapy is an emerging method in cancer therapy. One of the main developments is to increase the accuracy of the Bragg-peak position calculation, which requires more precise relative stopping power (RSP) measurements. An excellent c
Externí odkaz:
http://arxiv.org/abs/2212.00126
Autor:
Chen, Xiangna, Liu, Feiyi, Chen, Shiyang, Shen, Jianmin, Deng, Weibing, Papp, Gabor, Li, Wei, Yang, Chunbin
A transfer learning method, Domain Adversarial Neural Network (DANN), is introduced to study the phase transition of two-dimensional q-state Potts model. With the DANN, we only need to choose a few labeled configurations automatically as input data,
Externí odkaz:
http://arxiv.org/abs/2209.03572
Autor:
Aehle, Max, Alme, Johan, Barnaföldi, Gergely Gábor, Blühdorn, Johannes, Bodova, Tea, Borshchov, Vyacheslav, Brink, Anthony van den, Eikeland, Viljar, Feofilov, Gregory, Garth, Christoph, Gauger, Nicolas R., Grøttvik, Ola, Helstrup, Håvard, Igolkin, Sergey, Keidel, Ralf, Kobdaj, Chinorat, Kortus, Tobias, Kusch, Lisa, Leonhardt, Viktor, Mehendale, Shruti, Mulawade, Raju Ningappa, Odland, Odd Harald, O'Neill, George, Papp, Gábor, Peitzmann, Thomas, Pettersen, Helge Egil Seime, Piersimoni, Pierluigi, Pochampalli, Rohit, Protsenko, Maksym, Rauch, Max, Rehman, Attiq Ur, Richter, Matthias, Röhrich, Dieter, Sagebaum, Max, Santana, Joshua, Schilling, Alexander, Seco, Joao, Songmoolnak, Arnon, Sudár, Ákos, Tambave, Ganesh, Tymchuk, Ihor, Ullaland, Kjetil, Varga-Kofarago, Monika, Volz, Lennart, Wagner, Boris, Wendzel, Steffen, Wiebel, Alexander, Xiao, RenZheng, Yang, Shiming, Zillien, Sebastian
Objective. Algorithmic differentiation (AD) can be a useful technique to numerically optimize design and algorithmic parameters by, and quantify uncertainties in, computer simulations. However, the effectiveness of AD depends on how "well-linearizabl
Externí odkaz:
http://arxiv.org/abs/2202.05551
Autor:
Shen, Jianmin, Liu, Feiyi, Chen, Shiyang, Xu, Dian, Chen, Xiangna, Deng, Shengfeng, Li, Wei, Papp, Gabor, Yang, Chunbin
The latest advances of statistical physics have shown remarkable performance of machine learning in identifying phase transitions. In this paper, we apply domain adversarial neural network (DANN) based on transfer learning to studying non-equilibrium
Externí odkaz:
http://arxiv.org/abs/2112.15516
Hadron spectral functions carry all the information of hadrons and are encoded in the Euclidean two-point correlation functions. The extraction of hadron spectral functions from the correlator is a typical ill-posed inverse problem and infinite numbe
Externí odkaz:
http://arxiv.org/abs/2112.00460
Autor:
Chen, Xiangna, Liu, Feiyi, Deng, Weibing, Chen, Shiyang, Shen, Jianmin, Papp, Gábor, Li, Wei, Yang, Chunbin
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 1 March 2024 637
Expected Shortfall (ES), the average loss above a high quantile, is the current financial regulatory market risk measure. Its estimation and optimization are highly unstable against sample fluctuations and become impossible above a critical ratio $r=
Externí odkaz:
http://arxiv.org/abs/2103.04375
Publikováno v:
Gribov-90 Memorial Volume, pp. 81-89 (2021)
We study the structure of jets in proton-proton collisions at LHC energies using \textsc{Pythia} 8 Monte Carlo simulations. We demonstrate that the radial jet profiles exhibit scaling properties with charged-hadron event multiplicity over a broad tra
Externí odkaz:
http://arxiv.org/abs/2008.08500