8 citations · 15 across the 7 of their papers we have counts for
7 papers
A review on fundamental bounds and estimators for photometry and astrometry of celestial point sources using array detectors, from first principles
Sebastián Espinosa, Rene A. Mendez, Jorge F. Silva +1
Precise astrometric and photometric measurements of celestial point sources are fundamental to modern astronomy. These measurements, used to determine object positions, motions, an…
A novel Information-Driven Strategy for Optimal Regression Assessment
Benjamín Castro, Camilo Ramírez, Sebastián Espinosa +3
In Machine Learning (ML), a regression algorithm aims to minimize a loss function based on data. An assessment method in this context seeks to quantify the discrepancy between the…
The impact of the point spread function fitting radius on photometric uncertainty based on the Fisher information matrix
Sebastian Espinosa, Mario L. Vicuña, Rene A. Mendez +2
In point spread function (PSF) photometry, the selection of the fitting aperture radius plays a critical role in determining the precision of flux and background estimations. Tradi…
Optimal photometry of point sources: Joint source flux and background determination on array detectors -- from theory to practical implementation
Mario L. Vicuña, Jorge F. Silva, Rene A. Mendez +3
In this paper we study the joint determination of source and background flux for point sources as observed by digital array detectors. We explicitly compute the two-dimensional Cra…
Finite-Length Bounds on Hypothesis Testing Subject to Vanishing Type I Error Restrictions
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
A central problem in Binary Hypothesis Testing (BHT) is to determine the optimal tradeoff between the Type I error (referred to as false alarm) and Type II (referred to as miss) er…
On the Exponential Approximation of Type II Error Probability of Distributed Test of Independence
Sebastian Espinosa, Jorge F. Silva, Pablo Piantanida
This paper studies distributed binary test of statistical independence under communication (information bits) constraints. While testing independence is very relevant in various ap…
Optimality of the Maximum Likelihood estimator in Astrometry
Sebastian Espinosa, Jorge F. Silva, Rene A. Mendez +2
The problem of astrometry is revisited from the perspective of analyzing the attainability of well-known performance limits (the Cramer-Rao bound) for the estimation of the relativ…