Exemple #1
0
def save_results(data_img, crystal, refl, fcalc_file, Xang, Yang, filename):
    x = col((1, 0, 0))
    y = col((0, 1, 0))
    rX = x.axis_and_angle_as_r3_rotation_matrix(Xang, deg=True)
    rY = y.axis_and_angle_as_r3_rotation_matrix(Yang, deg=True)

    energies, fcalc_at_en = sim_utils.load_fcalc_file(fcalc_file)
    Patts = PatternFactory()
    Patts.adjust_mosaicity(2, 0.05)
    #flux_per_en = [fracA*Patts.SIM2.flux, fracB*Patts.SIM2.flux]
    flux_per_en = [fracA * 1e14, fracB * 1e14]

    sim_patt = Patts.make_pattern2(crystal=deepcopy(crystal),
                                   flux_per_en=flux_per_en,
                                   energies_eV=energies,
                                   fcalcs_at_energies=fcalcs_at_en,
                                   mosaic_spread=None,
                                   mosaic_domains=None,
                                   ret_sum=True,
                                   Op=None)
    sim_patt_R = Patts.make_pattern2(crystal=deepcopy(crystal),
                                     flux_per_en=flux_per_en,
                                     energies_eV=energies,
                                     fcalcs_at_energies=fcalcs_at_en,
                                     mosaic_spread=None,
                                     mosaic_domains=None,
                                     ret_sum=True,
                                     Op=rX * rY)
    refls = [refl] * 3
    imgs = [sim_patt, data_img, sim_patt_R]
    utils.images_and_refls_to_simview(filename, imgs, refls)
Exemple #2
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def refine_cell(data):

    spot_mask = spot_utils.strong_spot_mask(data['refl'], (1800, 1800))

    Patts = sim_utils.PatternFactory()
    Patts.adjust_mosaicity(2, 0.5)
    energy, fcalc = sim_utils.load_fcalc_file(data['fcalc_f'])

    crystal = data['crystal']
    a, b, c, _, _, _ = crystal.get_unit_cell().parameters()

    optX, optY = data['optX'], data['optY']
    optX_fine, optY_fine = data['optX_fine'], data['optY_fine']
    Op = optX_fine * optY_fine * optX * optY
    crystal.set_U(Op)

    overlaps = []
    imgs_all = []
    percs = np.arange(-0.005, 0.006, 0.001)
    crystals = []
    for i in percs:
        for j in percs:
            crystal2 = deepcopy(crystal)
            a2 = a + a * i
            c2 = c + c * j
            B2 = sqr((a2, 0, 0, 0, a2, 0, 0, 0, c2)).inverse()
            crystal2.set_B(B2)
            sim_patt = Patts.make_pattern2(
                crystal=crystal2,
                flux_per_en=[data['fracA'] * 1e14, data['fracB'] * 1e14],
                energies_eV=energy,
                fcalcs_at_energies=fcalc,
                mosaic_spread=None,
                mosaic_domains=None,
                ret_sum=True,
                Op=None)

            sim_sig_mask = sim_patt > 0
            overlaps.append(np.sum(sim_sig_mask * spot_mask))
            crystals.append(deepcopy(crystal2))
            imgs_all.append(sim_patt)
    refls_all = [data["refl"]] * len(imgs_all)
    utils.images_and_refls_to_simview("cell_refine", imgs_all, refls_all)
    return overlaps, crystals
Exemple #3
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def xyscan_multi(crystal,
                 fcalcs_file,
                 fracA,
                 fracB,
                 strong,
                 rot_series,
                 n_jobs,
                 scan_func=xyscan,
                 use_weights=False,
                 raw_image=None):
    """
    :param crystal_file:
    :param energies:
    :param fcalcs_file:
    :param fracA:
    :param fracB:
    :param strong_file:
    :param rotxy_series:
    :param n_jobs:
    :return:
    """
    from joblib import Parallel, delayed

    nscans = len(rot_series)
    scan_idx = np.array_split(range(nscans), n_jobs)
    scan_split = []
    for idx in scan_idx:
        scan_split.append([rot_series[i] for i in idx])
    energy, fcalcs = sim_utils.load_fcalc_file(fcalcs_file)

    results = Parallel(n_jobs=n_jobs)(delayed(scan_func)\
                (crystal=crystal,
                 fcalcs_energies=energy,
                 fcalcs = fcalcs,
                 fracA=fracA, fracB=fracB,
                 strong=strong,jid=jid,
                 use_weights=use_weights, raw_image=raw_image,
                 rotxy_series=scan_split[jid]) \
                for jid in range(n_jobs))
    results = np.concatenate(results)

    return results
Exemple #4
0
idx = hit_idx[0]
iset = loader.get_imageset(img_f)[idx:idx + 1]
dblock = DataBlockFactory.from_imageset(iset)[0]

refls = info_f[idx]['refl']
fracA = info_f[idx]['fracA']
fracB = info_f[idx]['fracB']
cryst_orig = info_f[idx]['crystals'][0]

# load a test crystal
#crystal = utils.open_flex( sim_utils.cryst_f )

# fraction of two color energy
# simulate the pattern
#Patts = sim_utils.PatternFactory()
en, fcalc = sim_utils.load_fcalc_file("../sim/fcalc_slim.pkl")
flux = [fracA * 1e14, fracB * 1e14]
#imgA, imgB = Patts.make_pattern2(crystal, flux, en, fcalc, 20, 0.1, False)

# here we can index each 1 color pattern as well as the two color pattern
# for fun

# ==================================
# 2 color indexer of 2 color pattern
# ==================================
sad_index_params.indexing.multiple_lattice_search.max_lattices = 1
sad_index_params.indexing.stills.refine_all_candidates = True  #False
sad_index_params.indexing.stills.refine_candidates_with_known_symmetry = True  #False
sad_index_params.indexing.stills.candidate_outlier_rejection = True  # False
sad_index_params.indexing.stills.rmsd_min_px = 10
#sad_index_params.indexing.refinement_protocol.mode = "ignore"