SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
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Updated
Jun 4, 2024 - Python
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
Scientific analysis of nanoscale materials imaging data
Python library for reading and writing scientific data format
hyperSpec: Tools for Spectroscopy (R package)
The project treats a bug in Labspec software, and it offers an easy way to visualize and deal with Raman/PL mapping data generated from Horiba instrument under txt format
This project allows a quick manual fit of SHG or any polar data using a generalized trigonometric function. The fitting data can be easily exported after then.
A python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
HETEAC-Flex is an aerosol typing scheme based on the optimal estimation method (OEM) and it allows the identification of up to four different aerosol components of an aerosol mixture, as well as the quantification of their contribution to the aerosol mixture in terms of relative volume.
Baseline correction, smoothing, processing and plotting of Raman spectra
Procedures (for IgorPro) to perform operations needed in day to day analysis of spectroscopic data. For example, Raman or infrared spectra where the data is structured as array of 1-D or 2-D waves.
Perform baseline removal, baseline correction and baseline substraction for raman spectra using Modpoly, ImodPoly and Zhang fit. Returns baseline-subtracted spectrum. Please give proper citation as specified in the documentation if it has helped you.
A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.
A Python library of algorithms for the baseline correction of experimental data.
Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
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