30 citations · 85 across the 11 of their papers we have counts for
11 papers
Theoretical ab initio Evolution of Satellite Intensity near Threshold for Cu K-shell transitions
Daniel Pinheiro, Gonçalo Baptista, César Godinho +9
In this work, we have investigated the evolution of satellite intensity near the ionization threshold for Cu K-shell transitions through theoretical methods. Employing standard sta…
Probing the partition function for temperature-dependent potentials with nested sampling
Lune Maillard, Philippe Depondt, Fabio Finocchi +4
Thermodynamic properties can be in principle derived from the partition function, which, in many-atom systems, is hard to evaluate as it involves a sum on the accessible microscopi…
Nested Sampling for Exploring Lennard-Jones Clusters
Lune Maillard, Fabio Finocchi, César Godinho +1
Lennard-Jones clusters, while an easy system, have a significant number of non equivalent configurations that increases rapidly with the number of atoms in the cluster. Here, we ai…
A simple tool for weighted averaging of inconsistent data sets
Martino Trassinelli, Marleen Maxton
The weighted average of inconsistent data is a common and tedious problem that many scientists have encountered. The standard weighted average is not recommended for these cases, a…
Conditional probabilities of measurements, quantum time and the Wigner's friend case
Martino Trassinelli
Considering a minimal number of assumptions and in the context of the timeless formalism, conditional probabilities are derived for subsequent measurements in the non-relativistic…
Conditional probability and interferences in generalized measurements with or without definite causal order
Martino Trassinelli
In the context of generalized measurement theory, the Gleason-Busch theorem assures the unique form of the associated probability function. Recently, in Flatt et al. Phys. Rev. A 9…
Mean shift cluster recognition method implementation in the nested sampling algorithm
M. Trassinelli, Pierre Ciccodicola
Nested sampling is an efficient algorithm for the calculation of the Bayesian evidence and posterior parameter probability distributions. It is based on the step-by-step exploratio…
The Nested_fit data analysis program
Martino Trassinelli
We present here Nested_fit, a Bayesian data analysis code developed for investigations of atomic spectra and other physical data. It is based on the nested sampling algorithm with…
Relational Quantum Mechanics and Probability
M. Trassinelli
We present a derivation of the third postulate of Relational Quantum Mechanics (RQM) from the properties of conditional probabilities.The first two RQM postulates are based on the…
Bayesian data analysis tools for atomic physics
Martino Trassinelli
We present an introduction to some concepts of Bayesian data analysis in the context of atomic physics. Starting from basic rules of probability, we present the Bayes' theorem and…
Energy cost and optimisation in breath-hold diving
Martino Trassinelli
We present a new model for calculating locomotion costs in breath-hold divers. Starting from basic mechanics principles, we calculate the work that the diver must provide through p…