tomoscan.esrf.scan.mock.MockHDF5#

class tomoscan.esrf.scan.mock.MockHDF5(scan_path, n_radio, n_ini_radio=None, n_extra_radio=0, scan_range=360, n_recons=0, n_pag_recons=0, recons_vol=False, dim=200, ref_n=0, flat_n=0, dark_n=0, scene='noise')#

Bases: MockNXtomo

__init__(scan_path, n_radio, n_ini_radio=None, n_extra_radio=0, scan_range=360, n_recons=0, n_pag_recons=0, recons_vol=False, dim=200, ref_n=0, flat_n=0, dark_n=0, scene='noise')#
Parameters

  • scan_path – directory of the file containing the hdf5 acquisition

  • n_proj – number of projections (does not contain alignement proj)

  • n_ini_proj – number of projection do add in the constructor

  • n_alignement_proj – number of alignment projection

  • scan_range –

  • n_recons –

  • n_pag_recons –

  • recons_vol –

  • dim – frame dim - only manage square fame for now

  • create_ini_dark – create one initial dark frame on construction

  • create_ini_flat – create the initial series of ref (n_ref) on construction (after creation of the dark)

  • create_final_flat – create the final series of ref (n_ref) on construction (after creation of the dark)

  • n_refs – number of refs per series

  • distance – if not None then will save energy on the dataset

  • energy – if not None then will save the distance on the dataset

Methods

__init__(scan_path, n_radio[, n_ini_radio, ...])

param scan_path

directory of the file containing the hdf5 acquisition

add_alignment_radio(index, angle)

add_distance(distance)

add_energy(energy)

add_final_flat()

add_initial_dark()

add_initial_flat()

add_pag_reconstruction([index])

add_radio([index])

add_recons_vol()

add_reconstruction([index])

end_acquisition()

write_metadata(n_radio, scan_range, flat_n, ...)

Attributes

PIXEL_SIZE

has_intensity_monitor