Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Ankowski, Artur"'
Autor:
Prasad, Hemant, Sobczyk, Jan T., Ankowski, Artur M., Bonilla, J. Luis, Banerjee, Rwik Dharmapal, Graczyk, Krzysztof M., Kowal, Beata E.
In this article, we highlight physics improvements in the NuWro Monte Carlo event generator. The upcoming version of NuWro will incorporate the integration of the argon spectral function for quasi-elastic scattering, along with the MINER$\nu$A parame
Externí odkaz:
http://arxiv.org/abs/2501.11470
Autor:
Prasad, Hemant, Sobczyk, Jan T., Ankowski, Artur M., Bonilla, J. Luis, Banerjee, Rwik Dharmapal, Graczyk, Krzysztof M., Kowal, Beata E.
We present the implementation and results of a new model for the n-particle n-hole ($\it{np-nh}$) contribution in the NuWro event generator, grounded in the theoretical framework established by the Valencia group in 2020. For the $\it{2p2h}$ componen
Externí odkaz:
http://arxiv.org/abs/2411.11523
Autor:
Bodek, Arie, Christy, M. E., Lin, Zihao, Bulugean, Giulia-Maria, Delgado, Amii Matamoros, Ankowski, Artur M., Vidal, Julia Tena
We have performed a global extraction of the ${\rm ^{12}C}$ longitudinal (${\cal R}_L$) and transverse (${\cal R}_T$) nuclear electromagnetic response functions from an analysis of all available electron scattering data on carbon. The response functi
Externí odkaz:
http://arxiv.org/abs/2409.10637
Autor:
Graczyk, Krzysztof M., Kowal, Beata E., Ankowski, Artur M., Banerjee, Rwik Dharmapal, Bonilla, Jose Luis, Prasad, Hemant, Sobczyk, Jan T.
Transfer learning (TL) allows a deep neural network (DNN) trained on one type of data to be adapted for new problems with limited information. We propose to use the TL technique in physics. The DNN learns the physics of one process, and after fine-tu
Externí odkaz:
http://arxiv.org/abs/2408.09936
The determination of the nuclear spectral function from the measured cross section of the electron-nucleus scattering process $e + A \to e^\prime + p + (A-1)$is discussed, and illustrated for the case of a carbon target. The theoretical model based o
Externí odkaz:
http://arxiv.org/abs/2407.18226
Autor:
Kowal, Beata E., Graczyk, Krzysztof M., Ankowski, Artur M., Banerjee, Rwik Dharmapal, Prasad, Hemant, Sobczyk, Jan T.
Employing the neural network framework, we obtain empirical fits to the electron-scattering cross sections for carbon over a broad kinematic region, extending from the quasielastic peak through resonance excitation to the onset of deep-inelastic scat
Externí odkaz:
http://arxiv.org/abs/2312.17298
Autor:
Banerjee, Rwik Dharmapal, Ankowski, Artur M., Graczyk, Krzysztof M., Kowal, Beata E., Prasad, Hemant, Sobczyk, Jan T.
Publikováno v:
Phys. Rev. D 109, 073004 (2024)
The Short-Baseline Neutrino program in Fermilab aims to resolve the nature of the low-energy excess events observed in LSND and MiniBooNE, and analyze with unprecedented precision neutrino interactions with argon. These studies require reliable estim
Externí odkaz:
http://arxiv.org/abs/2312.13369
Publikováno v:
Phys. Rev. D 102, 053001 (2020)
Precision neutrino oscillation experiments of the future---of which DUNE is a prime example---require reliable event generator tools. The 1--4 GeV energy regime, in which DUNE will operate, is marked by the transition from the low-energy nuclear phys
Externí odkaz:
http://arxiv.org/abs/2006.11944
Autor:
Ankowski, Artur M., Friedland, Alexander, Li, Shirley Weishi, Moreno, Omar, Schuster, Philip, Toro, Natalia, Tran, Nhan
Publikováno v:
Phys. Rev. D 101, 053004 (2020)
We point out that the LDMX (Light Dark Matter eXperiment) detector design, conceived to search for sub-GeV dark matter, will also have very advantageous characteristics to pursue electron-nucleus scattering measurements of direct relevance to the neu
Externí odkaz:
http://arxiv.org/abs/1912.06140
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