Zobrazeno 1 - 10
of 1 018
pro vyhledávání: '"GOMEZ, FERNANDO"'
Studying the reliability of complex systems using machine learning techniques involves facing a series of technical and practical challenges, ranging from the intrinsic nature of the system and data to the difficulties in modeling and effectively dep
Externí odkaz:
http://arxiv.org/abs/2410.04238
Autor:
Saha, Samanta, Copi, Craig J., Starkman, Glenn D., Anselmi, Stefano, Duque, Javier Carrón, Barandiaran, Mikel Martin, Akrami, Yashar, Cornet-Gomez, Fernando, Jaffe, Andrew H., Kosowsky, Arthur, Mihaylov, Deyan P., Pereira, Thiago S., Samandar, Amirhossein, Tamosiunas, Andrius
Cosmic microwave background (CMB) temperature and polarization observations indicate that in the best-fit $\Lambda$ Cold Dark Matter model of the Universe, the local geometry is consistent with at most a small amount of positive or negative curvature
Externí odkaz:
http://arxiv.org/abs/2409.02226
Autor:
Samandar, Amirhossein, Duque, Javier Carrón, Copi, Craig J., Barandiaran, Mikel Martin, Mihaylov, Deyan P., Pereira, Thiago S., Starkman, Glenn D., Akrami, Yashar, Anselmi, Stefano, Cornet-Gomez, Fernando, Eskilt, Johannes R., Jaffe, Andrew H., Kosowsky, Arthur, Tamosiunas, Andrius
Publikováno v:
JCAP 11 (2024) 020
The standard cosmological model, which assumes statistical isotropy and parity invariance, predicts the absence of correlations between even-parity and odd-parity observables of the cosmic microwave background (CMB). Contrary to these predictions, la
Externí odkaz:
http://arxiv.org/abs/2407.09400
Autor:
Tamosiunas, Andrius, Cornet-Gomez, Fernando, Akrami, Yashar, Anselmi, Stefano, Duque, Javier Carrón, Copi, Craig J., Eskilt, Johannes R., Güngör, Özenç, Jaffe, Andrew H., Kosowsky, Arthur, Barandiaran, Mikel Martin, Mertens, James B., Mihaylov, Deyan P., Pereira, Thiago S., Saha, Samanta, Samandar, Amirhossein, Starkman, Glenn D., Taylor, Quinn, Vardanyan, Valeri
Publikováno v:
JCAP 09 (2024) 057
Non-trivial spatial topology of the Universe may give rise to potentially measurable signatures in the cosmic microwave background. We explore different machine learning approaches to classify harmonic-space realizations of the microwave background i
Externí odkaz:
http://arxiv.org/abs/2404.01236
Autor:
Mezzini, Mauro, Gomez, Fernando Cuartero, Pelayo, Fernando, Gonzales, Jose Javier Paulet, Calvo, Hernan Indibil de la Cruz, Pascual, Vicente
Given two prime monotone boolean functions $f:\{0,1\}^n \to \{0,1\}$ and $g:\{0,1\}^n \to \{0,1\}$ the dualization problem consists in determining if $g$ is the dual of $f$, that is if $f(x_1, \dots, x_n)= \overline{g}(\overline{x_1}, \dots \overline
Externí odkaz:
http://arxiv.org/abs/2308.14819
The FAIR Principles are a set of good practices to improve the reproducibility and quality of data in an Open Science context. Different sets of indicators have been proposed to evaluate the FAIRness of digital objects, including datasets that are us
Externí odkaz:
http://arxiv.org/abs/2306.15414
We consider a flavour conserving two Higgs doublet model that consists of a type I (or X) quark sector and a generalized lepton sector where the Yukawa couplings of the charged leptons to the new scalars are not proportional to the lepton masses. The
Externí odkaz:
http://arxiv.org/abs/2302.05471
Autor:
Pinto-Gómez, Fernando, de Soto, Feliciano, Ferreira, Mauricio N., Papavassiliou, Joannis, Rodríguez-Quintero, José
We present new results for the transversely projected three-gluon vertex from quenched lattice QCD simulations using standard Wilson action. While previous works focused in some particular kinematics such as the symmetric $(q^2 = r^2 = p^2)$ and soft
Externí odkaz:
http://arxiv.org/abs/2212.11894
Autor:
Gomez, Fernando
Publikováno v:
Journal of Intelligent Systems, Vol 16, Iss 2, Pp 93-116 (2007)
Externí odkaz:
https://doaj.org/article/b476c346d10b4fc58c35078e52f88aba
The experimental observations of the electron and muon anomalous magnetic moment present discrepancies with respect to the Standard Model predictions. A class of flavor conserving Two Higgs Doublet model, stable under renormalization, that is capable
Externí odkaz:
http://arxiv.org/abs/2205.07350