https://github.com/thesfinox/fit-the-data

Data analysis using Wolfram Mathematica
https://github.com/thesfinox/fit-the-data

analysis data data-analysis lab mathematica wolfram wolfram-mathematica

Last synced: 4 days ago
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Data analysis using Wolfram Mathematica

• Host: GitHub
• URL: https://github.com/thesfinox/fit-the-data
• Owner: thesfinox
• License: mit
• Created: 2020-06-09T21:01:43.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-06-09T21:01:54.000Z (over 4 years ago)
• Last Synced: 2024-12-25T17:29:28.923Z (about 2 months ago)
• Topics: analysis, data, data-analysis, lab, mathematica, wolfram, wolfram-mathematica
• Language: Mathematica
• Homepage:
• Size: 132 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Description

This code is a simple data analysis written in *Wolfram Mathematica*.

It provides basic codes for linear and parabolic fit of data and a gaussian 

analysis of occurences. The code should be adapted to one's specific needs,

as it includes the creation of output in different directories. It was first

written and intended for a Windows machine, but can be adapted to Linux 

systems. They were written in Italian, but I can provide an English version

of them.

# Code

These Wolfram Mathematica notebooks are structured in distinct sections:

* Data input:

    * important names are firstly set

    * input files are required for data manipulation

* First analysis:

    * notable parameters (chi squared, etc.) are calculated 

    * data is plotted and saved

* Second analysis:

    * given previous parameters, a more refined calculation is performed

    * data is plotted and saved in different position

* Third analysis:

    * if needed, errors and distributions are determined *a posteriori*

# Motivation

We decided to write this code during the university course of *Nuclear 

Physics and Laboratory* in order to speed the analysis up and to provide

reliable data to store, during the experiments.

# Contributors

Contributors are welcome to improve and criticize (keeping in mind that 

we are not software developers and the purpose of this code was merely to 

save us a lot of work: it was firstly intended to meet our particular needs 

in that specific situation, *see _MOTIVATION_*) any of the content here 

provided.

# License

Code is distributed under the MIT license. Anyone can improve 

and redistribute the code.