activity
20132022
most citedDescriptive examples of the limitations of Artificial Neural Networks applied to the analysis of independent stochastic data

17 citations · 24 across the 7 of their papers we have counts for

collaborators

9 papers

physics.atom-ph2022

Non-linear effects in TXRF spectroscopy: Study on the influence of the sample amount

Leonardo Bennun, Maria Natalia Piol, Cristina Vazquez

In this work we have studied the limitations of the TXRF spectroscopy in the upper limit of validity of the technique, when the analyzed specimen ceases to be a thin film. We have…

stat.AP2017

An ad-hoc modified Likelihood Function Applied to Optimization of Data Analysis in Atomic Spectroscopy

Leonardo Bennun

In this paper we propose an ad-hoc construction of the Likelihood Function, in order to develop a data analysis procedure, to be applied in atomic and nuclear spectral analysis. Th…

physics.atom-ph2016

A Pragmatic Smoothing Method for Improving the Quality of the Results in Atomic Spectroscopy

Leonardo Bennun

A new smoothing method for the improvement on the identification and quantification of spectral functions based on the previous knowledge of the signals that are expected to be qua…

physics.ed-ph2015

Analysis of the benefits of designing and implementing a virtual didactic model of multiple choice exam and problem-solving heuristic report, for first year engineering students

Leonardo Bennun, Mauricio Santibanez

Improvements in performance and approval obtained by first year engineering students from University of Concepcion, Chile, were studied, once a virtual didactic model of multiple-c…

physics.ins-det2015

A gamma spectrometry protocol for gold determination in big samples by neutron activation analysis, using a linac as a source of irradiation

Eduardo Broglio, Leonardo Bennun, Victor Gillette

This work presents a study on the fundamental aspects of a reliable gold determination in voluminous mineral samples by Neutron Activation Analysis, using a Linear Particle Acceler…

stat.AP2015★ 2 cited

A novel method based on cross correlation maximization, for pattern matching by means of a single parameter. Application to the human voice

Felipe Quiero, Fabian Quintana, Leonardo Bennun

This work develops a cross correlation maximization technique, based on statistical concepts, for pattern matching purposes in time series. The technique analytically quantifies th…