[Requirement] Tools for processing time-dependent instrument parameters

Executive summary

Instrument parameters are time dependent, this needs to be processed before, e.g., associating neutron events with parameter values

Context and background knowledge

Version 0.1 of summary written by @g5t:

time_parameter_report.pdf

Inputs

1-D DataArray, typically loaded from an NXlog in a NeXus file.

Methodology

To be determined for individual cases. See also attached PDF.

Outputs

Processed DataArray that can be used, e.g., with Scipp's event filtering.

Which interfaces are required?

Python module / function

Test cases

Creating synthetic data is easy and a good start, but we should consider testing robustness on real data.

Comments

This is likely very generic functionality and may result in addition of basic tools in Scipp as well as ScippNeutron.

Start by reading the attached time_parameter_report.pdf and the Scipp event-filtering documentation. Define the individual processing cases for 1-D DataArray inputs loaded from NXlog data before choosing the Python module or function interface. Use synthetic data first, then assess robustness on real data; done means the processed DataArray can be used for event filtering.