2 citations · 3 across the 3 of their papers we have counts for
4 papers
Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology
Jorge Alda, Jacobo Asorey, Alejandro Mir +1
Global fits in high energy physics and cosmology often face the challenge of exploring high-dimensional parameter spaces with computationally expensive or topologically complex lik…
Generalized PT-symmetric nonlinear Dirac equation: exact solitary waves solutions, stability and conservation laws
Fernando Carreño-Navas, Siannah Peñaranda, Renato Alvarez-Nodarse +1
We derive an exact solitary wave solution for the $\PTb$-symmetric nonlinear Dirac equation with a scalar-scalar interaction. We consider a power-law nonlinearity of the form $|\ba…
B-Meson Anomalies: Effective Field Theory Meets Machine Learning
Alejandro Mir, Jorge Alda, Siannah Penaranda
Discrepancies between experimental measurements and Standard Model predictions in -meson decays, especially in lepton flavor universality ratios like , an…
Flavour Anomalies: A comparative analysis using a machine learning algorithm
Jorge Alda, Alejandro Mir, Siannah Penaranda
We present an analysis on flavour anomalies in semileptonic rare -meson decays using an effective field theory approach and assuming that new physics affects only one generation…