Quick Start#
Let’s get started with CRISPy. Use the navigation bar on the right to skip ahead as needed.
Ridge Finding#
Note
Install: If you haven’t installed CRISPy yet, see Install.
To detect density ridges in a .fits image:
from crispy import image_ridge_find as irf
# Input parameters
image_name = "input_image.fits" # Input image file
thres = 0.5 # Minimum density threshold for valid data points
h = 2 # Smoothing bandwidth (recommended: Nyquist-sampled resolution)
# Finding ridges
ridge_data = irf.run(image_name, h=h, thres=thres)
To save the results to a .txt file
# Save the results to a file
irf.write_output(ridge_data, "ridge_coords.txt")
For more details, please see Tutorials