9 citations
- Universidad El BosqueCO4 papers
- Universidad Nacional de ColombiaCO3 papers
- Instituto de Astrofísica de CanariasES2 papers
- Politecnico di MilanoIT2 papers
- Universidad de La LagunaES2 papers
- University of GenoaIT2 papers
- Boston UniversityUS1 paper
- Brookhaven CollegeUS1 paper
- CEA Paris-SaclayFR1 paper
- Centre de physique des particules de MarseilleFR1 paper
- Centre for Theoretical Physics and AstrophysicsUZ1 paper
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES1 paper
9 papers
The Kossakowski Matrix and Strict Positivity of Markovian Quantum Dynamics
Julián Agredo, Franco Fagnola, Damiano Poletti
We investigate the relationship between strict positivity of the Kossakowski matrix, irreducibility and positivity improvement properties of Markovian Quantum Dynamics. We show tha…
The imprint of cosmic voids from the DESI Legacy Survey DR9 LRGs in the Planck 2018 lensing map through spectroscopically calibrated mocks
S. Sartori, P. Vielzeuf, S. Escoffier +31
The cross-correlation of cosmic voids with the lensing convergence () map of the Cosmic Microwave Background (CMB) fluctuations provides a powerful tool to refine our understand…
A comprehensive modelling and experimental approach for damped oscillations in U-tubes via Easy JavaScript Simulations
Fredy A Orjuela, Jorge Enrique García-Farieta, Héctor J Hortúa +1
In recent years, science simulations have become popular among educators due to their educational usefulness, availability, and potential for increasing the students' knowledge on…
Bayesian deep learning for cosmic volumes with modified gravity
Jorge Enrique García-Farieta, Héctor J Hortúa, Francisco-Shu Kitaura
The new generation of galaxy surveys will provide unprecedented data allowing us to test gravity at cosmological scales. A robust cosmological analysis of the large-scale structure…
About Jordan and Einstein frames: a study in inflationary magnetogenesis
Joel Velásquez, Héctor J. Hortua, Leonardo Castañeda
There has been considerable interest in the community to understand if the Einstein and Jordan frames are either physically equivalent to each other or if there exists a preference…
Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
Héctor J. Hortúa, Luz Ángela García, Leonardo Castañeda C
Methods based on Deep Learning have recently been applied on astrophysical parameter recovery thanks to their ability to capture information from complex data. One of these methods…