pycfit 0.1.4

Component Fitting package

Python Component Fitting Tool (pycfit)

Python program to replicate many spectral fitting functions of the CFIT system from SolarSoft IDL.

Installation

pip install pycfit

🛠 Important: Conda Environments Must Have Python Installed

If using Conda, ensure your environment includes Python before installing:

conda create --name myenv python
conda activate myenv

pip install pycfit

Use

Use interactive fitter to find an initial model based on an averaged spectra

from pycfit import cfit_gui
from pycfit.data import load_example_single_spectra

# Load sample data
wavelength, intensity, uncertainty = load_example_single_spectra()

# Call the GUI fitter
model = cfit_gui(wavelength, intensity, uncertainty=uncertainty)

Use the interactive viewer to fit each point of the raster to the initial model and adjust or mask individual point fittings as needed

from pycfit import cfit_grid_gui
from pycfit.data import load_example_grid_spectra

# Load a small-patch of sample data
wavelength, intensity, uncertainty, mask = load_example_grid_spectra(patch=True)

# Create Grid fitter, fit the whole raster, inspect and modify, get results
myGrid = cfit_grid(model, wavelength, intensity, 
                uncertainty=uncertainty, mask=mask)

myGrid.fit()

myGrid = cfit_grid_gui(myGrid)

results = myGrid.get_results()

Contacts:

Software Maintenance:

Ayris Narock: [e-mail]

NASA Official:

Therese Kucera: [e-mail]

License

This project is Copyright (c) National Aeronautics and Space Administration and licensed under the terms of the Apache Software License 2.0 license. This package is based upon the Openastronomy packaging guide <https://github.com/OpenAstronomy/packaging-guide>_ which is licensed under the BSD 3-clause licence. See the licenses folder for more information.