pyimfit 0.12.2

Python wrapper for astronomical image-fitting program Imfit

Pyimfit

This is a Python wrapper for the astronomical image-fitting program Imfit.

Online documentation: https://pyimfit.readthedocs.io/en/latest/.

Sample Usage

The following assumes an interactive Python session (such as an iPython session or Jupyter notebook):

from astropy.io import fits
import pyimfit

imageFile = "<path-to-FITS-file-directory>/ic3478rss_256.fits"
imfitConfigFile = "<path-to-config-file-directory>/config_exponential_ic3478_256.dat"

# read in image data, convert to proper double-precisions, little-endian format
image_data = fits.getdata(imageFile)

# construct model from config file; construct new Imfit fitter based on model,;
model_desc = pyimfit.ModelDescription.load(configFile)

# create an Imfit object, using the previously loaded model configuration
imfit_fitter = pyimfit.Imfit(model_desc)

# load the image data and image characteristics and do a standard fit
# (using default chi^2 statistics and Levenberg-Marquardt solver)
result = imfit_fitter.fit(image_data, gain=4.725, read_noise=4.3, original_sky=130.14)

# check the fit and print the resulting best-fit parameter values
if result.fitConverged is True:
    print("Fit converged: chi^2 = {0}, reduced chi^2 = {1}".format(imfit_fitter.fitStatistic,
        result.reducedFitStat))
    bestfit_params = result.params
    print("Best-fit parameter values:", bestfit_params)