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An Iterative, Dynamically Stabilized(IDS) Method of Data Unfolding
Dynamically Stabilized(IDS) The regularization function
2011/9/2
We describe an iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an
improved normalization procedure for Monte Ca...
Parametric fitting of data obtained from detectors with finite resolution and limited acceptance
fit Monte Carlo distribution to data comparison experimental and simulated data
2011/1/5
A goodness-of-fit test for the fitting of a parametric model to data obtained from a detector with finite resolution and limited acceptance is proposed.The parameters of the model are found by minimiz...
Genetic algorithms and the analysis of SnIa data
Genetic algorithms analysis of SnIa data
2010/12/21
The Genetic Algorithm is a heuristic that can be used to produce model independent solutions to an optimization problem, thus making it ideal for use in cosmology and more specifically in the analysis...
Improved preservation of autocorrelative structure in surrogate data using an initial wavelet step
preservation autocorrelative structure surrogate data initial wavelet step
2009/11/2
Surrogate data generation algorithms are useful for hypothesis testing or for generating realisations of a process for data extension or modelling purposes. This paper tests a well known surrogate dat...
A nonextensive method for spectroscopic data analysis with artificial neural networks
Nonextensive statistical mechanics Neural networks Pattern classification Spectroscopy
2010/7/5
In this paper we apply an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. Our aim is to establish an auto...