toggle visibility Search & Display Options

Select All    Deselect All
 | 
Citations
 | 
   print
Gerbino, M., Lattanzi, M., Mena, O., & Freese, K. (2017). A novel approach to quantifying the sensitivity of current and future cosmological datasets to the neutrino mass ordering through Bayesian hierarchical modeling. Phys. Lett. B, 775, 239–250.
toggle visibility
Di Valentino, E., Melchiorri, A., & Mena, O. (2017). Can interacting dark energy solve the H-0 tension? Phys. Rev. D, 96(4), 043503–11pp.
toggle visibility
Gerbino, M., Freese, K., Vagnozzi, S., Lattanzi, M., Mena, O., Giusarma, E., et al. (2017). Impact of neutrino properties on the estimation of inflationary parameters from current and future observations. Phys. Rev. D, 95(4), 043512–22pp.
toggle visibility
Witte, S., Villanueva-Domingo, P., Gariazzo, S., Mena, O., & Palomares-Ruiz, S. (2018). EDGES result versus CMB and low-redshift constraints on ionization histories. Phys. Rev. D, 97(10), 103533–8pp.
toggle visibility
Vagnozzi, S., Dhawan, S., Gerbino, M., Freese, K., Goobar, A., & Mena, O. (2018). Constraints on the sum of the neutrino masses in dynamical dark energy models with w(z) >=-1 are tighter than those obtained in Lambda CDM. Phys. Rev. D, 98(8), 083501–20pp.
toggle visibility
Select All    Deselect All
 | 
Citations
 | 
   print

ific federMinisterio de Ciencia e InnovaciĆ³nAgencia Estatal de Investigaciongva