This program analyzes UV-VIS absorption spectra from aqueous surfactant suspended dispersions of carbon nanotubes. It does so by fitting absorption profile models from the literature with a linear regression at each step of a non-linear regression fitting of the background (amorphous carbon and pi plasmon resonances) model.
First install qt4 and micromamba (or miniconda/anaconda) with your system's package manager. (E.g. yay micromamba && yay qt4 or apt-get install micromamba && apt-get install qt4)
Then use anaconda to create the environment:
micromamba create -n spectro_env python=2.7 anaconda
micromamba config --add channels conda-forge
micromamba config --set channel_priority strict
micromamba install -n spectro_env pyqt=4.11.4 matplotlib numpy scipy=1.2.1 xlsxwriter=1.1.5 lmfit=0.9.11This program is written using python 2.7 with a Qt4 Gui and has the following dependencies:
pythonxy: http://www.mirrorservice.org/sites/pythonxy.com/Python(x,y)-2.7.6.1.exe
lmfit: https://pypi.python.org/packages/2.7/l/lmfit/lmfit-0.7.4.win32-py2.7.exe
This is a screen shot of the program which has fit an absorption spectra of the provided (6,5)/(6,4) semiconducting enriched SWCNT sample:
This program was written by Chase Brown and is under the GNU General Public License. (A Copyleft License)
This program is free to use for any research, as long as this this thesis and github page are cited:
https://github.com/chaxor/Spectro
Brown, Chase. “CARBON NANOTUBES AND MAGNETIC PARTICLES AS PICKERING EMULSION STABALIZERS: PARTICLE CONTROL FOR PHASE SELECTIVE REACTIONS” Master’s thesis, University of Oklahoma, 2016. https://shareok.org/bitstream/handle/11244/41473/2016_Brown_Chase_Thesis.pdf