25 citations · 80 across the 7 of their papers we have counts for
7 papers
Extended primordial black hole mass functions with a spike
Juan Magaña, Marco San Martín, Joaquín Sureda +3
We introduce a modification of the Press-Schechter formalism aimed to derive general mass functions for primordial black holes (PBHs). In this case, we start from primordial power…
Dark matter from primordial black holes would hold charge
Ignacio J. Araya, Nelson D. Padilla, Marcelo E. Rubio +3
We explore the possibility that primordial black holes (PBHs) contain electric charge down to the present day. We find that PBHs should hold a non-zero net charge at their formatio…
Pytearcat: PYthon TEnsor AlgebRa calCulATor
Marco San Martín, Joaquin Sureda
This paper introduces the first release of Pytearcat, a Python package developed to compute tensor algebra operations in the context of theoretical physics, for instance, in genera…
Magnetic field generation from primordial black hole distributions
Ignacio J. Araya, Marcelo E. Rubio, Marco San Martin +4
We introduce a statistical method for estimating magnetic field fluctuations generated from primordial black hole (PBH) populations. To that end, we consider monochromatic and exte…
Power spectrum of density fluctuations, halo abundances and clustering with primordial black holes
Nelson Padilla, Juan Magana, Joaquin Sureda +1
We study the effect of dark matter (DM) being encapsulated in primordial black holes (PBHs) on the power spectrum of density fluctuations ; we also look at its effect on the…
Press-Schechter primordial black hole mass functions and their observational constraints
Joaquin Sureda, Juan Magana, Ignacio J. Araya +1
We present a modification of the Press-Schechter (PS) formalism to derive general mass functions for primordial black holes (PBHs), considering their formation as being associated…
An Accelerating Universe without Lambda: Delta~Gravity Using Monte Carlo
Jorge Alfaro, Marco San Martin, Joaquin Sureda
A gravitational field model based on two symmetric tensors, and , is studied, using a Markov Chain Monte Carlo (MCMC) analysis with the most updated catalo…