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exponential-distributions

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dpscience / DLTReconvolution

Star 6

DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method

python analysis least-squares decomposition convolution fluorescence inverse-problems deconvolution fourier-transform least-square-regression exponential-distributions fls lifetime-spectroscopy pals decay-spectrum lifetime-spectra positron-lifetime-spectra reconvolution multi-exponential ill-posed
  • Updated Jan 24, 2021
  • Python

dpscience / DQuickLTFit

Star 4

DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm

analysis fitting levenberg-marquardt mpfit qt-framework annihilation fluorescence-microscopy-imaging least-square-regression exponential-distributions fls lifetime-spectroscopy pals decay-spectrum positrons antimatter levenberg-marquardt-algorithm positron-lifetime-spectra multi-exponential
  • Updated Jan 25, 2021
  • C++

dpscience / MELTail

Star 3

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

least-squares regularization optimization-methods inverse-problems deconvolution maximum-entropy exponential-distributions datareduction lifetime-spectroscopy pals decay-spectrum positron-lifetime-spectra ill-conditioned ill-posed fluorescence-lifetime
  • Updated Apr 1, 2021
  • MATLAB

dpscience / DCONTINPALS

Star 3

pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

analysis regularization inverse-problems nonnegativity-constraints exponential-distributions datareduction lifetime-spectroscopy pals positron-lifetime-spectra tikhonov-regularization flm exponential-decay ill-posed contin tikhonov multi-exponential-decay positron-annihilation-lifetime fredholm-integral-equation laplace-inversion linear-algebraic-equations
  • Updated Sep 27, 2023
  • Fortran

mcabinaya / Simulation-Methods-For-Stochastic-Systems

Star 3

My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba

python monte-carlo probability-distribution expectation-maximization gaussian-mixture-models bag-of-words monte-carlo-integration optimization-algorithms stochastic-processes ee511 mcmc-sampler gaussian-distribution monte-carlo-sampling travelling-salesman-problem k-means-clustering bernoulli-distribution networkx-graph exponential-distributions pi-estimator
  • Updated Jun 6, 2018
  • Python

dpscience / pyTailFit

Star 1

pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.

analysis regression levenberg-marquardt inverse-problems least-square-regression exponential-distributions analysis-algorithms datareduction lifetime-spectroscopy decay-spectrum positron-lifetime-spectra exponential-decay ill-posed multi-exponential-decay tail-fitting fluorescence-lifetime-spectroscopy ill-cond
  • Updated Sep 22, 2021
  • Python

johnbrendanowens / Normal-Uniform-and-Exponential-Distributions-Simulations

Star 0

This is a project I did in the Spring of 2017 for a graduate course in Statistical Computing. I was asked to find the descriptive statistics of 1000 simulations of a distribution, specifically to find the mean, median, midrange, and interquartile range of the simulations. I was asked to find these statistics for 1000 simulations of sample sizes …

statistics simulation uniform descriptive-statistics normal-distribution exponential-distributions
  • Updated Jul 12, 2017
  • R

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