Code Monkey home page Code Monkey logo

ramanspec_basicoperations's Introduction

RamanSpec_BasicOperations

DOI


This repository contains procedures for the analysis of spectra. These can be, for example, Raman or IR spectra or others. The procedures are for analyzing raw data (x, y columns) of data loaded in IgorPro application.

Refer to the few lines before each function to understand the purpose and the scheme. Edits might be needed for the correct usage of a function depending on the specific dataset.

Question / comments / suggestions are welcome via the Issues tab.

  • Some functions are better documented in comparison to others.
  • See full function list at function_list.md

Citing this repository

Citation is requested if the procedures are useful in your analysis. Save the file and open with the reference manager to add to the reference list.

Download citation file : Bibtex / Endnote (Right click on the link and select 'Save link as')

Citation as text block

BibTex

@misc{Online-RamanOps,
	title = {A repository containing procedures for Raman data analysis in IgorPro.},
	howpublished = {\url{https://github.com/ankit7540/RamanSpec_BasicOperations}},
  doi={10.5281/zenodo.4506283},
	note = {Accessed: 2023-12-15}
}

EndNote

TY  - WEB
AU  - Raj, Ankit
DO  - 10.5281/zenodo.4506283
M1  - 12-15-2023
PY  - 2021
ST  - Online repository of procedures for Raman data analysis in IgorPro
TI  - Online repository of procedures for Raman data analysis in IgorPro
UR  - https://github.com/ankit7540/RamanSpec_BasicOperations
ID  - 1941
ER  -

Project tree

📦 RamanSpec_BasicOperations
├─ .gitignore
├─ 2D_operations
│  ├─ 1D_to_2D_rearrangements.ipf
│  ├─ Analyse_2D_band_area_extraction.ipf
│  ├─ README.md
│  ├─ average_2D.ipf
│  ├─ data_combine_delete.ipf
│  ├─ fitting_2D_data.ipf
│  ├─ mathematical_ops.ipf
│  ├─ merge_2D.ipf
│  └─ remove_col_from2D.ipf
├─ LICENSE.md
├─ README.md
├─ _config.yml
├─ background_correction
│  ├─ README.md
│  └─ baseline_sub.ipf
├─ basic_programming
│  ├─ s0_basic_of_functions.ipf
│  └─ s1_wave_analysis.ipf
├─ citation
│  ├─ RamanOps.RIS
│  └─ RamanOps.bib
├─ custom_fit_functions
│  └─ bands_withBaseline.ipf
├─ data_generation
│  ├─ README.md
│  └─ sample_gen.ipf
├─ discussion
│  ├─ Curve_fitting_Gaussian.pxp
│  ├─ Curve_fitting_Gaussian_run.pxp
│  ├─ README.md
│  ├─ fitting_many_gaussians_using_function.pxp
│  └─ plotting_custom.pxp
├─ eqn_solve
│  ├─ lin_eq.ipf
│  ├─ non_linear_optimizaton.ipf
│  └─ quadratic.ipf
├─ folder_operations
│  ├─ README.md
│  ├─ extract_from_folders.ipf
│  └─ folder_contents.ipf
├─ general
│  ├─ README.md
│  └─ spectroscopy.ipf
├─ image_analysis
│  ├─ README.md
│  ├─ batch_binning.ipf
│  └─ binning.ipf
├─ intensity_corr
│  ├─ README.md
│  ├─ gen_correction.ipf
│  └─ validation_antiStokes_Stokes.ipf
├─ loading_data
│  ├─ README.md
│  ├─ load_all_itx.ipf
│  ├─ load_all_txt.ipf
│  └─ load_csv.ipf
├─ noise_analysis
│  ├─ noise_analysis.ipf
│  └─ remove_cosmic_noise.ipf
└─ plotting
   ├─ add_offset_graph.ipf
   ├─ plot_2D.ipf
   └─ plot_customization.ipf

ramanspec_basicoperations's People

Contributors

ankit7540 avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.