Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Martinez, Juan M."'
Autor:
Cruz-Martinez, Juan M., Fieg, Max, Giani, Tommaso, Krack, Peter, Mäkelä, Toni, Rabemananjara, Tanjona, Rojo, Juan
Proton-proton collisions at the LHC generate a high-intensity collimated beam of neutrinos in the forward (beam) direction, characterised by energies of up to several TeV. The recent observation of LHC neutrinos by FASER$\nu$ and SND@LHC signals that
Externí odkaz:
http://arxiv.org/abs/2309.09581
Publikováno v:
Quantum Sci.Technol. 9 (2024) 3, 035053
In this work we present a novel strategy to evaluate multi-variable integrals with quantum circuits. The procedure first encodes the integration variables into a parametric circuit. The obtained circuit is then derived with respect to the integration
Externí odkaz:
http://arxiv.org/abs/2308.05657
A reliable determination of probability density functions from data samples is still a relevant topic in scientific applications. In this work we investigate the possibility of defining an algorithm for density function estimation using adiabatic qua
Externí odkaz:
http://arxiv.org/abs/2303.11346
Autor:
Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan M., Hekhorn, Felix, Schwan, Christopher
Continuously comparing theory predictions to experimental data is a common task in analysis of particle physics such as fitting parton distribution functions (PDFs). However, typically, both the computation of scattering amplitudes and the evolution
Externí odkaz:
http://arxiv.org/abs/2303.07119
Autor:
Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan M., Hekhorn, Felix, Schwan, Christopher
Publikováno v:
Comput.Phys.Commun. 297 (2024) 109061
We present a collection of tools automating the efficient computation of large sets of theory predictions for high-energy physics. Calculating predictions for different processes often require dedicated programs. These programs, however, accept input
Externí odkaz:
http://arxiv.org/abs/2302.12124
In this proceedings we demonstrate some advantages of a top-bottom approach in the development of hardware-accelerated code. We start with an autogenerated hardware-agnostic Monte Carlo generator, which is parallelized in the event axis. This allow u
Externí odkaz:
http://arxiv.org/abs/2211.14056
Since the first determination of a structure function many decades ago, all methodologies used to determine structure functions or parton distribution functions (PDFs) have employed a common prefactor as part of the parametrization. The NNPDF collabo
Externí odkaz:
http://arxiv.org/abs/2111.02954
Autor:
Shmidt, María S., Martini, María F., Oppezzo, Guido A., Martínez, Juan M. Lázaro, Di Salvo, Florencia, Fabian, Lucas, Moglioni, Albertina G., Blanco, María M.
Publikováno v:
In Journal of Molecular Structure 15 July 2024 1308
Autor:
Tedrow, Usha B., Miranda-Arboleda, Andres F., Sauer, William H., Duque, Mauricio, Koplan, Bruce A., Marín, Jorge E., Aristizabal, Julian M., Niño, Cesar D., Bastidas, Oriana, Martinez, Juan M., Hincapie, Daniela, Hoyos, Carolina, Matos, Carlos D., Lopez-Cabanillas, Nestor, Steiger, Nathaniel A., Tadros, Thomas M., Zei, Paul C., Diaz, Juan C., Romero, Jorge E.
Publikováno v:
In JACC: Clinical Electrophysiology July 2024 10(7) Part 2:1736-1749
Autor:
Barontini, Andrea, Candido, Alessandro, Cruz-Martinez, Juan M., Hekhorn, Felix, Schwan, Christopher
Publikováno v:
In Computer Physics Communications April 2024 297