Example #1
0
def flexBeam_sim_colors(CRYSTAL,
                        DETECTOR,
                        BEAM,
                        Famp,
                        energies,
                        fluxes,
                        pids=None,
                        cuda=False,
                        oversample=0,
                        Ncells_abc=(50, 50, 50),
                        mos_dom=1,
                        mos_spread=0,
                        beamsize_mm=0.001,
                        device_Id=0,
                        omp=False,
                        show_params=False,
                        crystal_size_mm=0.01,
                        printout_pix=None,
                        time_panels=True,
                        verbose=0,
                        default_F=0,
                        interpolate=0,
                        recenter=True,
                        profile="gauss",
                        spot_scale_override=None,
                        background_raw_pixels=None,
                        include_noise=False,
                        add_water=False,
                        add_air=False,
                        water_path_mm=0.005,
                        air_path_mm=0,
                        rois_perpanel=None,
                        adc_offset=0,
                        readout_noise=3,
                        psf_fwhm=0,
                        gain=1,
                        mosaicity_random_seeds=None):
    """
  :param CRYSTAL: dxtbx Crystal model
  :param DETECTOR: dxtbx detector model
  :param BEAM: dxtbx beam model
  :param Famp: cctbx miller array (amplitudes)
  :param energies: list of energies to simulate the scattering
  :param fluxes:  list of pulse fluences per energy (same length as energies)
  :param pids: panel ids to simulate on (None means all panels)
  :param cuda: whether to use GPU (only works for nvidia builds)
  :param oversample: pixel oversample factor (0 means nanoBragg will decide)
  :param Ncells_abc: number of unit cells along each crystal direction in the mosaic block
  :param mos_dom: number of mosaic domains in used to sample mosaic spread (texture)
  :param mos_spread: mosaicity in degrees (spherical cap width)
  :param beamsize_mm: focal size of the beam
  :param device_Id: cuda device id (ignore if cuda=False)
  :param omp: whether to use open mp (required open MP build configuration)
  :param show_params: show the nanoBragg parameters
  :param crystal_size_mm: size of the crystal (increases the intensity of the spots)
  :param printout_pix: debug pixel position : tuple of (pixel_fast_coord, pixel_slow_coord)
  :param time_panels: show timing info
  :param verbose: verbosity level for nanoBragg (0-10), 0 is quiet
  :param default_F: default amplitude value for nanoBragg
  :param interpolate: whether to interpolate for small mosaic domains
  :param recenter: recenter for tilted cameras, deprecated
  :param profile: profile shape, can be : gauss, round, square, or tophat
  :param spot_scale_override: scale the simulated scattering bythis amounth (overrides value based on crystal thickness)
  :param background_raw_pixels: dictionary of {panel_id: raw_pixels}, add these background pixels to the simulated Bragg
  :param include_noise: add noise to simulated pattern
  :param add_water: add water to similated pattern
  :param add_air: add ait to simulated pattern
  :param water_path_mm: length of water the beam travels through
  :param air_path_mm: length of air the beam travels through
  :param rois_perpanel: regions of intererest on each panel
  :param adc_offset: add this value to each pixel in simulated pattern
  :param readout_noise: readout noise level (usually 3-5 ADU)
  :param psf_fwhm: point spread kernel FWHM
  :param gain: photon gain
  :param mosaicity_random_seeds: random seeds to simulating mosaic texture
  :return: list of [(panel_id0,simulated pattern0), (panel_id1, simulated_pattern1), ...]
  """

    if pids is None:
        pids = range(len(DETECTOR))

    if background_raw_pixels is None:
        background_raw_pixels = {pid: None for pid in pids}

    if rois_perpanel is None:
        rois_perpanel = {pid: None for pid in pids}

    nbBeam = NBbeam()
    nbBeam.size_mm = beamsize_mm
    nbBeam.unit_s0 = BEAM.get_unit_s0()
    wavelengths = ENERGY_CONV / np.array(energies)
    nbBeam.spectrum = list(zip(wavelengths, fluxes))

    nbCrystal = NBcrystal()
    nbCrystal.dxtbx_crystal = CRYSTAL
    nbCrystal.miller_array = Famp
    nbCrystal.Ncells_abc = Ncells_abc
    nbCrystal.symbol = CRYSTAL.get_space_group().info().type().lookup_symbol()
    nbCrystal.thick_mm = crystal_size_mm
    nbCrystal.xtal_shape = profile
    nbCrystal.n_mos_domains = mos_dom
    nbCrystal.mos_spread_deg = mos_spread

    panel_images = []

    tinit = time.time()
    S = SimData()
    S.detector = DETECTOR
    S.beam = nbBeam
    S.crystal = nbCrystal
    S.using_cuda = cuda
    S.using_omp = omp
    S.add_air = add_air
    S.air_path_mm = air_path_mm
    S.add_water = add_water
    S.water_path_mm = water_path_mm
    S.readout_noise = readout_noise
    S.gain = gain
    S.psf_fwhm = psf_fwhm
    S.include_noise = include_noise

    if mosaicity_random_seeds is not None:
        S.mosaic_seeds = mosaicity_random_seeds

    S.instantiate_nanoBragg(verbose=verbose,
                            oversample=oversample,
                            interpolate=interpolate,
                            device_Id=device_Id,
                            default_F=default_F,
                            adc_offset=adc_offset)

    if printout_pix is not None:
        S.update_nanoBragg_instance("printout_pixel_fastslow", printout_pix)
    if spot_scale_override is not None:
        S.update_nanoBragg_instance("spot_scale", spot_scale_override)

    for pid in pids:
        t_panel = time.time()
        S.background_raw_pixels = background_raw_pixels[pid]
        S.panel_id = pid
        S.rois = rois_perpanel[pid]

        S.generate_simulated_image()

        if show_params:
            S.D.show_params()
            print('spot scale: %2.7g' % S.D.spot_scale)
        panel_image = S.D.raw_pixels.as_numpy_array()
        panel_images.append([pid, panel_image])
        S.D.raw_pixels *= 0
        if time_panels:
            tdone = time.time() - tinit
            t_panel = time.time() - t_panel
            print(
                'Panel %d took %.4f seconds (Total sim time = %.4f seconds)' %
                (pid, t_panel, tdone))

    S.D.free_all()

    return panel_images
Example #2
0
def flexBeam_sim_colors(CRYSTAL,
                        DETECTOR,
                        BEAM,
                        Famp,
                        energies,
                        fluxes,
                        pids=None,
                        cuda=False,
                        oversample=0,
                        Ncells_abc=(50, 50, 50),
                        mos_dom=1,
                        mos_spread=0,
                        beamsize_mm=0.001,
                        device_Id=0,
                        omp=False,
                        show_params=False,
                        crystal_size_mm=0.01,
                        printout_pix=None,
                        time_panels=True,
                        verbose=0,
                        default_F=0,
                        interpolate=0,
                        recenter=True,
                        profile="gauss",
                        spot_scale_override=None,
                        background_raw_pixels=None,
                        include_noise=False,
                        add_water=False,
                        add_air=False,
                        water_path_mm=0.005,
                        air_path_mm=0,
                        rois_perpanel=None,
                        adc_offset=0,
                        readout_noise=3,
                        psf_fwhm=0,
                        gain=1,
                        mosaicity_random_seeds=None):

    if pids is None:
        pids = range(len(DETECTOR))

    if background_raw_pixels is None:
        background_raw_pixels = {pid: None for pid in pids}

    if rois_perpanel is None:
        rois_perpanel = {pid: None for pid in pids}

    nbBeam = NBbeam()
    nbBeam.size_mm = beamsize_mm
    nbBeam.unit_s0 = BEAM.get_unit_s0()
    wavelengths = ENERGY_CONV / np.array(energies)
    nbBeam.spectrum = list(zip(wavelengths, fluxes))

    nbCrystal = NBcrystal()
    nbCrystal.dxtbx_crystal = CRYSTAL
    nbCrystal.miller_array = Famp
    nbCrystal.Ncells_abc = Ncells_abc
    nbCrystal.symbol = CRYSTAL.get_space_group().info().type().lookup_symbol()
    nbCrystal.thick_mm = crystal_size_mm
    nbCrystal.xtal_shape = profile
    nbCrystal.n_mos_domains = mos_dom
    nbCrystal.mos_spread_deg = mos_spread

    panel_images = []

    for pid in pids:
        tinit = time.time()
        S = SimData()
        S.detector = DETECTOR
        S.beam = nbBeam
        S.crystal = nbCrystal
        S.panel_id = pid
        S.using_cuda = cuda
        S.using_omp = omp
        S.add_air = add_air
        S.air_path_mm = air_path_mm
        S.add_water = add_water
        S.water_path_mm = water_path_mm
        S.background_raw_pixels = background_raw_pixels[pid]
        S.rois = rois_perpanel[pid]
        S.readout_noise = readout_noise
        S.gain = gain
        S.psf_fwhm = psf_fwhm
        S.include_noise = include_noise

        if mosaicity_random_seeds is not None:
            S.mosaic_seeds = mosaicity_random_seeds

        S.instantiate_nanoBragg(verbose=verbose,
                                oversample=oversample,
                                interpolate=interpolate,
                                device_Id=device_Id,
                                default_F=default_F,
                                adc_offset=adc_offset)
        if recenter:
            S.update_nanoBragg_instance(
                "beam_center_mm",
                DETECTOR[int(pid)].get_beam_centre(BEAM.get_s0()))
        if printout_pix is not None:
            S.update_nanoBragg_instance("printout_pixel_fastslow",
                                        printout_pix)
        if spot_scale_override is not None:
            S.update_nanoBragg_instance("spot_scale", spot_scale_override)

        S.generate_simulated_image()

        if show_params:
            S.D.show_params()
            print('spot scale: %2.7g' % S.D.spot_scale)
        panel_image = S.D.raw_pixels.as_numpy_array()
        panel_images.append([pid, panel_image])
        S.D.free_all()
        if time_panels:
            tdone = time.time() - tinit
            print('Panel %d took %.4f seconds' % (pid, tdone))
        del S.D

    return panel_images