Search Results for "fit"

DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear...

Graphical user interface for gnuplot to create publication quality figure very quickly. It supports templates for fast formatting of graphics, different plot styles, insets, axis and label options. One important feature is storing metadata in png and pdf files that can be used to reload any graph saved with QuickPlot.

This project now lives at https://github.com/dwvisser/jam-daq-code/ Jam is an easy-to-use self-contained data acquisition and analysis system for VME-based (or CAMAC-based) nuclear physics experiments. Jam has an easy, standard GUI for taking and sorting multi-parameter event-based data into 1-d and 2-d histograms.

Keywords: -simultaneously fit several SAXS and SANS data sets with polydisperse (Schultz-Zimm or Gaussian distribution f(R)) spherical core-shell-shell nanoparticles -analytical expressions are used for from factor F(Q) and its integral over f(R), no numerical integration required -absolute units -Mathematica is required via console (MathKernel) -Mathematica's local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters are possible -Monodisperse(!) ...

Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters

This program can make histograms, table and graphics of datas, study the error propagation during a measure, it is usefull if you have to do study errors propagations. The output are latex files, so it is easy for you just put them into your relations.

AGBStarViewer is an astronomical SW which was developed as a part of my Master Thesis at the University of Vienna. It is designed to compare star spectra and obtain best fits of many hundreds spectra. Licence: GPLv2

The software package SINSEL («SImulator New of Solution Equation of Landau») is designed to fit a one and multiple oscillating peaks spectrums with the new solution of the kinetic equations of Landau.

...Thermocouples generate a voltage at a given temperature. The relationship isn't simple. There are published tables, but the format can be awkward. This project supplies tools to find, parse, plot, and curve-fit thermocouple data.

Written in C for UNIX/LINUX platforms to manage and fit of experimental data. * Graphical interface * Perform time consuming computations on multiple computers * Plugin your own model * Fit data with Minuit * Plot data and models with Grace

Program to fit data from decay experiments, for example, a time-resolved fluorescence measurement. It handles multiexponential decays, and simultaneous fit of many measures. Instrumental response function must be provided.

Diagram (JGraph) driven simulator. Bondgraphs > nonlinear differantial system > plot: implemented for economics and ecology. Network analysis: emergy propagation implemented. Would also fit for electronics, mechanics, cost, GWP, footprint analysis.