RDF/XML JSON-LD N3/Turtle RDF/JSON
Author profile at the institutional portal

Arjona Fernandez, Ruben ruben.arjona@uam.es

Física teórica / Universidad Autónoma de Madrid

Analytic expressions for the background evolution of massive neutrinos and dark matter particles

  • Arjona, Ruben
  • Cardona, Wilmar
  • Nesseris, Savvas

Journal Of Cosmology And Astroparticle Physics - 28/10/2019

10.1088/1475-7516/2019/10/060 View at source

  • ISSN 14757516

Unraveling the effective fluid approach for f(R) models in the subhorizon approximation

  • Arjona, Ruben
  • Cardona, Wilmar
  • Nesseris, Savvas

Physical Review d - 15/2/2019

10.1103/physrevd.99.043516 View at source

  • ISSN 05562821

Designing Horndeski and the effective fluid approach

  • Arjona, Ruben
  • Cardona, Wilmar
  • Nesseris, Savvas

Physical Review d - 20/9/2019

10.1103/physrevd.100.063526 View at source

  • ISSN 05562821

Hints of dark energy anisotropic stress using machine learning

  • Arjona, Ruben
  • Nesseris, Savvas

Journal Of Cosmology And Astroparticle Physics - 1/1/2020

10.1088/1475-7516/2020/11/042 View at source

  • ISSN 14757516

Cosmological constraints on nonadiabatic dark energy perturbations

  • Arjona R
  • García-Bellido J
  • Nesseris S

Physical Review d - 20/11/2020

10.1103/physrevd.102.103526 View at source

  • ISSN 05562821

What can machine learning tell us about the background expansion of the Universe?

  • Arjona, Ruben
  • Nesseris, Savvas

Physical Review D - Particles, Fields, Gravitation And Cosmology - 23/6/2020

10.1103/physrevd.101.123525 View at source

  • ISSN 15507998

Machine learning meets the redshift evolution of the CMB temperature

  • Arjona, Ruben

Journal Of Cosmology And Astroparticle Physics - 1/8/2020

10.1088/1475-7516/2020/08/009 View at source

  • ISSN 14757516

Machine learning and cosmographic reconstructions of quintessence and the swampland conjectures

  • Arjona R
  • Nesseris S

Physical Review d - 29/3/2021

10.1103/physrevd.103.063537 View at source

  • ISSN 05562821

Cosmological constraints with the Effective Fluid approach for Modified Gravity

  • Cardona, Wilmar
  • Arjona, Ruben
  • Estrada, Alejandro
  • Nesseris, Savvas;

Journal Of Cosmology And Astroparticle Physics - 1/5/2021

10.1088/1475-7516/2021/05/064 View at source

  • ISSN 14757516

Machine learning forecasts of the cosmic distance duality relation with strongly lensed gravitational wave events

  • Arjona R
  • Lin HN
  • Nesseris S
  • Tang L

Physical Review d - 11/5/2021

10.1103/physrevd.103.103513 View at source

  • ISSN 05562821

This researcher has no books.

This researcher has no book chapters.

This researcher has no conferences.

This researcher has no working papers.

This researcher has no technical reports.

This researcher has no research projects.

This researcher has no supervised thesis.

This researcher has no patents or software licenses.

Last data update: 9/15/22 7:43 PM