DiamondLightSource / DiamondLightSource/python-tristan

Add ability to bin non-10M data with missing modules

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Dominant language
Python
Stars
2
Forks
1
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No merged PRs in 30d

Description

At the moment, it is not possible to bin any datasets that are not from a full Tristan 10M detector. In a recent beamtime there has been an issue with one module which had to be switched off, leading to 10 missing files from the expected 100. While this is not ideal, and hopefully won't repeat itself, we should still be able to process and run diagnostic tools on incomplete datasets which may still have some useful data for the users.

(Diagnostic side in progress...)

Contributor guide

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Research direction

No files, tests, or entry points are named. Start by locating the dataset-binning validation and the diagnostic-tool entry points, then trace where a full Tristan 10M detector and 100 expected files are required. Done means incomplete datasets with missing module files can be binned and remain usable by the supported diagnostic tools.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data-engineering
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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