imap_processing.codice.codice_l1a.CoDICEL1aPipeline#

class imap_processing.codice.codice_l1a.CoDICEL1aPipeline(table_id: int, plan_id: int, plan_step: int, view_id: int)#

Contains methods for processing L0 data and creating L1a data products.

Parameters:

table_id (int) – A unique ID assigned to a specific table configuration. This field is used to link the overall acquisition and processing settings to a specific table configuration.
plan_id (int) – The plan table that was in use. In conjunction with plan_step, describes which counters are included in the data packet.
plan_step (int) – Plan step that was active when the data was acquired and processed. In conjunction with plan_id, describes which counters are included in the data packet.
view_id (int) – Provides information about how data was collapsed and/or compressed.

define_coordinates()#: Create xr.DataArrays for the coords needed in the final dataset.

define_data_variables()#: Define and add the appropriate data variables to the dataset.

define_dimensions()#: Define the dimensions of the data arrays for the final dataset.

define_support_variables()#: Define and add ‘support’ CDF data variables to the dataset.

get_acquisition_times()#: Retrieve the acquisition times via the Lo stepping table.

reshape_data()#: Reshape the data arrays based on the data product being made.

set_data_product_config()#: Set the various settings for defining the data products.

__init__(table_id: int, plan_id: int, plan_step: int, view_id: int)#: Initialize a CoDICEL1aPipeline class instance.

Methods

`__init__`(table_id, plan_id, plan_step, view_id)	Initialize a `CoDICEL1aPipeline` class instance.
`decompress_data`(science_values)	Perform decompression on the data.
`define_coordinates`()	Create `xr.DataArrays` for the coords needed in the final dataset.
`define_data_variables`()	Define and add the appropriate data variables to the dataset.
`define_support_variables`(dataset)	Define and add 'support' CDF data variables to the dataset.
`get_acquisition_times`()	Retrieve the acquisition times via the Lo stepping table.
`get_energy_table`()	Retrieve the ESA sweep values.
`reshape_data`()	Reshape the data arrays based on the data product being made.
`set_data_product_config`(apid, packet, ...)	Set the various settings for defining the data products.