147 citations · 1.8k across the 70 of their papers we have counts for
17 papers · 1 filter
An improved standardization framework for Type II-P supernovae using a hierarchical Bayesian approach
A. Holas, S. Taubenberger, C. Vogl +41
We use Type II-P supernovae (SNe II-P) observed as part of the Nearby Supernova Factory (SNfactory) experiment as standardizable candles to develop an improved standardization fram…
Are classification metrics good proxies for SN Ia cosmological constraining power?
Alex I. Malz, Mi Dai, Kara A. Ponder +10
Context: When selecting a classifier to use for a supernova Ia (SN Ia) cosmological analysis, it is common to make decisions based on metrics of classification performance, i.e. co…
Sidestepping the inversion of the weak-lensing covariance matrix with Approximate Bayesian Computation
Martin Kilbinger, Emille E. O. Ishida, Jessi Cisewski-Kehe
Weak gravitational lensing is one of the few direct methods to map the dark-matter distribution on large scales in the Universe, and to estimate cosmological parameters. We study a…
Ridges in the Dark Energy Survey for cosmic trough identification
Ben Moews, Morgan A. Schmitz, Andrew J. Lawler +6
Cosmic voids and their corresponding redshift-projected mass densities, known as troughs, play an important role in our attempt to model the large-scale structure of the Universe.…
Stress testing the dark energy equation of state imprint on supernova data
Ben Moews, Rafael S. de Souza, Emille E. O. Ishida +4
This work determines the degree to which a standard Lambda-CDM analysis based on type Ia supernovae can identify deviations from a cosmological constant in the form of a redshift-d…
The influence of host galaxy morphology on the properties of Type Ia supernovae from the JLA compilation
Vincent Henne, Maria Victorovna Pruzhinskaya, Philippe Rosnet +6
The observational cosmology with distant Type Ia supernovae (SNe) as standard candles claims that the Universe is in accelerated expansion, caused by a large fraction of dark energ…
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima +5
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationa…
Probing the stellar initial mass function with high- supernovae
R. S. de Souza, E. E. O. Ishida, D. J. Whalen +2
The first supernovae will soon be visible at the edge of the observable universe, revealing the birthplaces of Population III stars. With upcoming near-infrared missions, a broad a…
Cosmological Parameter Estimation from SN Ia data: a Model-Independent Approach
S. Benitez-Herrera, E. E. O. Ishida, M. Maturi +4
We perform a model independent reconstruction of the cosmic expansion rate based on type Ia supernova data. Using the Union 2.1 data set, we show that the Hubble parameter behaviou…
The first analytical expression to estimate photometric redshifts suggested by a machine
A. Krone-Martins, E. E. O. Ishida, R. S. de Souza
We report the first analytical expression purely constructed by a machine to determine photometric redshifts () of galaxies. A simple and reliable functional form is…
Detectability of the First Cosmic Explosions
R. S. de Souza, E. E. O. Ishida, J. L. Johnson +2
We present a fully self-consistent simulation of a synthetic survey of the furthermost cosmic explosions. The appearance of the first generation of stars (Population III) in the Un…
Kernel PCA for type Ia supernovae photometric classification
Emille E. O. Ishida, Rafael S. de Souza
In this work, we propose the use of Kernel Principal Component Analysis (KPCA) combined with k = 1 nearest neighbour algorithm (1NN) as a framework for supernovae (SNe) photometric…
Searching for the first stars with the Gaia mission
Rafael S. de Souza, Alberto Krone-Martins, Emille E. O. Ishida +1
We construct a theoretical model to predict the number of orphan afterglows (OA) from gamma-ray bursts (GRBs) triggered by primordial metal-free (Pop III) stars expected to be obse…
Probing cosmic star formation up to z = 9.4 with GRBs
Emille E. O. Ishida, Rafael S. de Souza, Andrea Ferrara
We propose a novel approach, based on Principal Components Analysis, to the use of Gamma-Ray Bursts (GRBs) as probes of cosmic star formation history (SFH) up to very high redshift…
The Effect of a Single Supernova Explosion on the Cuspy Density Profile of a Small-Mass Dark Matter Halo
Rafael S. de Souza, Luiz Felippe S. Rodrigues, Emille E. O. Ishida +1
Some observations of galaxies, and in particular dwarf galaxies, indicate a presence of cored density profiles in apparent contradiction with cusp profiles predicted by dark matter…
Hubble parameter reconstruction from a principal component analysis: minimizing the bias
Emille E. O. Ishida, Rafael S. de Souza
A model-independent reconstruction of the cosmic expansion rate is essential to a robust analysis of cosmological observations. Our goal is to demonstrate that current data are abl…
An analytical approach to the dwarf galaxies cusp problem
Rafael S. de Souza, Emille E. O. Ishida
An analytical solution for the discrepancy between observed core-like profiles and predicted cusp profiles in dark matter halos is studied. We calculate the distribution function f…