oap_model.detector_run module

class oap_model.detector_run.DetectorRun(detector: oap_model.detector.Detector, images: list[oap_model.detector.ImagedRegion], distance: float)

Bases: object

detector: Detector

property detector_position

distance: float

get_frames_to_measure(spec, **kwargs) → list[tuple[float, float], oap_model.intensity.IntensityField]

Returns a list of frames to measure, with the y extent of the frame and the frame itself.

images: list[oap_model.detector.ImagedRegion]

classmethod load(filename)

measure_diameters(spec=DiameterSpec(diameter_method='circle_equivalent', edge_filter=True, framed=True, min_sep=None, bound=True, filled=False, z_confinement=False, c=8.0), **kwargs)

plot(n_images: int = None, image_filters: list[oap_model.detector.ImageFilter] = [<ImageFilter.PRESENT_HALF_INTENSITY: 1>], **kwargs)

Plot the images in the run.

save(filename)

set_particles()

slice(distance, detector_yval=None)

trim_blank_space()

Trim the blank space from the start and end of each image.

volume(diameter, spec: DiameterSpec = None)

property xlims