docs: keep marginal summaries as parameter dictionaries - #483
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Summary
Report independently marginalized posterior statistics as parameter dictionaries instead of constructing lens-model instances that may violate joint physical constraints.
Clarify the distinction between marginal summaries and accepted joint samples, and regenerate the corresponding notebooks from the updated scripts.
Scripts Changed
scripts/guides/results/start_here.py— report median and 3-sigma marginal summaries as dictionaries.scripts/guides/results/aggregator/samples.py— teach vector/dictionary output for independently marginalized values and errors.scripts/guides/results/aggregator/samples_via_aggregator.py— return list and dictionary summaries without constructing profiles.Upstream PR
PyAutoLabs/PyAutoGalaxy#568
Test Plan
python -m py_compile.Generated by the PyAutoLabs agent workflow.