pyFAI tasks#

Integration options#

The PyFaiConfig task has a parameter called integration_options which is a dictionary of parameters expected by a pyFAI worker on configuration or instantiation.

pyFAI itself stores these options in the pyfai-integrate application configuration files (JSON) or PONI files (only the detector and beam parameters). Most often you will provide the integration_options through one of those parameter files. Below we describe the most important parameters.

Detector#

The detector position parameters

  • dist (m): perpendicular sample-detector distance

  • poni1 (m): first coordinate of the point of normal incidence

  • poni2 (m): first coordinate of the point of normal incidence

  • rot1 (rad): detector orientation

  • rot2 (rad): detector orientation

  • rot3 (rad): detector orientation

The detector type parameters

  • detector: name of a registered detector

  • detector_config: registered detector instantiation options

  • pixel1 (m): pixel size (detector instantiation option)

  • pixel2 (m): pixel size (detector instantiation option)

  • splineFile: path to file containing the geometric correction (detector instantiation option)

  • mask_file: path to file containing bad pixels (pixels with 0 value are not masked)

Primary beam#

  • wavelength (m): monochromatic beam

  • polarization_factor: from -1 (vertical) to +1 (horizontal) for linear polarization (synchrotrons are around 0.95) and None for unpolarized beam

Integration grid#

For azimuthal integration and unwrapping

  • nbpt_rad: number of points in the radial direction

  • radial_range_min: radial range

  • radial_range_max: radial range

For unwrapping only (a.k.a. caking)

  • nbpt_azim: number of points in the azimuthal direction

  • azimuth_range_min: azimuthal range

  • azimuth_range_max: azimuthal range

Integration method#

  • method: a string with the format “{splitting}_{algorithm}_{implementation}[_{target}]”

    • splitting: no, bbox, pseudo, full

    • algorithm: csr, csc, lut, histogram

    • implementation: python, cython, ocl

    • target: gpu (autoselect GPU device) or 0,1 (device 1 of platform 0)

  • integrator_name:

    • unwrapping

      • integrate2d_ng: coordinate transformation from X-Y to Radius-Azimuth

      • integrate2d_legacy:

      • medfilt1d: integrate2d_ng with median filtering in both directions

    • azimuthal integration

      • integrate1d_ng: azimuthal integrated profile as a function of radius (2-theta, Q, …)

      • integrate1d_legacy:

      • sigma_clip_ng: with outlier rejection (does not support pixel splitting)

      • sigma_clip_legacy: with outlier rejection (does support pixel splitting)

    • radial integration

      • integrate_radial: radial integrated profile as a function of azimuth

Extra options#

Different methods have extra options which should be provided by an extra dictionary with these keys

  • max_iter (sigma_clip_ng and sigma_clip_legacy): number of rejections cycles

  • thres (sigma_clip_ng and sigma_clip_legacy): percentile for the rejection in each cycle

  • npt_azim (sigma_clip_legacy): the sigma_clip_legacy method first does unwrapping and then azimuthal integration with rejection