FTSReader

Local installation using pip

1. Clone or download and unpack
2. Goto folder ftsreader
3. Create venv: python -m venv ftsenvironment
4. Activate environment: source ftsenvironment/bin/activate
5. pip install -e .

Using FTSReader class

This is a native Python class to read Fourier-Transform InfraRed (FTIR) interferograms and spectra created within the TCCON (Total Carbon Column Observing Network) and NDACC-IRWG (Network for the detection of Atmospheric Composition Change InfraRed Working Group) communities.

The data blocks are provided as NumPy arrays and the header information as a dictionary.

import ftsreader as ftsr

ifg = ftsr.ftsreader('path/to/interferogram', verbose=True, getifg=True)

spectrum = ftsr.ftsreader('path/to/spectrum', verbose=True, getspc=True)

print(spectrum.header)

fig, ax = plt.subplots()
ax.plot(spectrum.spcwvn, spectrum.spc)

Scripts

Contains additional scripts that use the ftsreader package

GUI to view interferograms and spectra

An additional script spc_checker.py provides a PyQt5 graphical user interface to review the interferograms and spectra in a specific folder and to save a list of selected spectra to a file.

Usage: python spc_checker.py [interferograms/spectra folder] [path to textfile for saving selection list]

tools

Contains several tools to work with the spectra read by ftsreader

load: import tools

spec = average(<list of files>, av_spc, av_ifg) 
#averages spectra or interferograms x-axis must be the same result is a two dimnsional array

spec = divide (spec1. spec2, interpolate)
# calculates spec1/spec2, 
# if interpolate = True: spec2 is interpolated to the wavenumber-axis of spec1 
# if normailse = True: spectrum is normalised to be between 0 1nd 1