nxtomomill.converter.hdf5.acquisition.standardacquisition.StandardAcquisition#

class nxtomomill.converter.hdf5.acquisition.standardacquisition.StandardAcquisition(root_url: Optional[DataUrl], configuration: TomoHDF5Config, detector_sel_callback, start_index, parent=None)[source]#

Bases: BaseAcquisition

Class to collect information from a bliss - hdf scan (see https://bliss.gitlab-pages.esrf.fr/fscan). Once all data is collected a set of NXtomo will be created. Then NXtomo instances will be saved to disk.

Parameters:

root_url (DataUrl) – url of the acquisition. Can be None if this is the initialization entry
configuration (TomoHDF5Config) – configuration to use to collect raw data and generate outputs
detector_sel_callback (Optional[Function]) – possible callback to retrieve missing information

__init__(root_url: Optional[DataUrl], configuration: TomoHDF5Config, detector_sel_callback, start_index, parent=None)[source]#

Methods

`__init__`(root_url, configuration, ...[, parent])
`camera_is_valid`(det_name)
`check_tomo_n`()
`get_already_defined_params`(key)
`get_axis_scale_types`()	Return axis display for the detector data to be used by silx view
`get_expected_nx_tomo`()	Return the expected number of nxtomo created for this acquisition.
`get_z_translation_frm`(root_node, n_frame, ...)
`is_different_sequence`(entry)	Can we have several entries 1.1, 1.2, 1.3.
`parent_root_url`()
`read_entry`()
`register_step`(url[, entry_type, copy_frames])	param DataUrl url: entry to be registered and contained in the
`to_NXtomos`(request_input, input_callback[, ...])
`write_as_nxtomo`(shift_entry, ...[, ...])

Attributes

`configuration`
`data_type`
`dim_1`
`dim_2`
`expo_time`
`has_diode`	is the acquisition expect to have a diode (instead of an energy field)
`image_key_control`
`is_xrd_ct`	Is this an XRD-CT acquisition
`known_machine_electric_current`	Return the dict of all know machine electric current.
`n_frames`
`n_frames_actual_bliss_scan`
`raise_error_if_issue`	Should we raise an error if we encounter or an issue or should we just log an error message
`require_x_translation`	is x_translation expected
`require_y_translation`
`require_z_translation`	is z_translation expected
`root_url`
`rotation_angle`
`start_index`
`x_flipped`
`x_translation`
`y_flipped`
`y_translation`
`z_translation`

get_axis_scale_types()#: Return axis display for the detector data to be used by silx view

get_expected_nx_tomo()[source]#: Return the expected number of nxtomo created for this acquisition. This is required to get consistent entry and file name. At lest for automation

property has_diode#: is the acquisition expect to have a diode (instead of an energy field)

is_different_sequence(entry)[source]#: Can we have several entries 1.1, 1.2, 1.3… to consider. This is the case for XRD-CT where 1.1, 1.2, 1.3 should be consider as being part of the same sequence. Not for ‘standard tomography’

property is_xrd_ct#: Is this an XRD-CT acquisition

property known_machine_electric_current: Optional[dict]#: Return the dict of all know machine electric current. Key is the time stamp, value is the electric current

property raise_error_if_issue#: Should we raise an error if we encounter or an issue or should we just log an error message

register_step(url: DataUrl, entry_type: Optional[AcquisitionStep] = None, copy_frames=False) → None[source]#

Parameters:

url (DataUrl) – entry to be registered and contained in the acquisition
entry_type – type of the entry if know. Overwise will be ‘evaluated’

property require_x_translation#: is x_translation expected

property require_z_translation#: is z_translation expected