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 :doc:`Install `. To detect density ridges in a `.fits` image: .. code-block:: python 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 .. code-block:: python # Save the results to a file irf.write_output(ridge_data, "ridge_coords.txt") For more details, please see :doc:`Tutorials `