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Picks 4 of the 7 catalog additions the issue proposed (the smaller-lift
ones; 2D joint plots, PIT calibration, and the throughput/accuracy scatter
are left for follow-up issues):
- marginal_distance_summary: a var x grouping-axis KS-statistic heatmap,
reusing the existing marginal hist1d compute and just adding a finalize —
a single at-a-glance regression scorecard instead of N overlay plots.
- n_sec_confusion: predicted (rollout) vs true (reference) secondary count
per event, paired by event_id since a rollout is seeded from the same
events as its reference file. Needed a new zero-filling primitive
(reduce.sec_count_by_event) since a plain group_by over secondary rows
silently drops zero-secondary events.
- shower_containment_depth_{90,95}: per-event depth containing 90%/95% of
deposited energy, derived from the same per-event depth-bin matrix the
longitudinal profile already computes.
- router_specialization: max gate weight vs energy per side, summarizing
router_gating's full stacked area into the one trend line the roadmap's
MoE writeup describes (the ~60-65% ceiling), to make a future
lambda_balance>0 retrain's effect on specialization checkable at a glance.
Both new heatmap-shaped plots (distance summary, confusion matrix) share one
new "heatmap" Reduced kind/renderer rather than two near-identical ones.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>