fix: latent_variables guide reuses quick fit + draws from PDF#123
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…Labs/autolens_workspace#230) Consistency change mirroring the autolens_workspace fix. The guide ran a bespoke Nautilus fit and computed latents over the full posterior; now it reuses the shared `_quick_fit.py` result via the aggregator and computes latents over 20 PDF draws (`samples.samples_drawn_randomly_via_pdf_from`). Adds a "Controlling the Cost via Config" docstring (latent.yaml = which latents, output.yaml latent_draw_via_pdf = how many draws). Cold run 63s. Notebook regenerated. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01XwGFQNneASyEoHJm3RGecm
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Consistency change mirroring PyAutoLabs/autolens_workspace#230.
Reuses the shared
_quick_fitresult via the aggregator (no bespoke fit) and computes latents over 20 PDF draws. Adds the "Controlling the Cost via Config" docstring (latent.yaml= which latents,output.yamllatent_draw_via_pdf= how many draws). Its latents are flux-only/cheap; this keeps the two workspace guides consistent and removes the duplicate fit.Verified: cold run 63s; medians correct. Notebook regenerated.
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