ae_size_correspondence — DRIVE `grind` op

• Data kinds: signal × signal → table

• Call: import fullseye as fs; fs.ledger.ae_size_correspondence(power, d50, group=None) -> 'dict' (to call the implementation directly, import grind; grind.ae_size_correspondence(power, d50, group=None) -> 'dict'; from the registry, opsdrive.get("ae_size_correspondence"))

Usage

Correspondence between AE band power and D50 (monotonicity, correlation, log–log slope α, P ∝ D50^α).

> The detailed description below is the original text — the summary and the headings are translated.

group を渡すと群(材料)ごとに出す(材料で電力の水準が桁で違うので、混ぜた相関は水準の差を拾う —— pooled は参考)。

返り: 群 → n・spearman(順位相関)・alpha(ln P を ln D50 に当てた傾き)・sign_agree(全ての組で「D50 が大きい方が P も大きい」の割合)。点が 2 つなら spearman は ±1 しか取れない(n を必ず併記する)。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_powder_grinding_ae — py -3.11 examples/poc_powder_grinding_ae.py

Ops the type connects to (they accept `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`grind`)

particle_size_read · particle_size_dx · particle_size_oversize · particle_size_synth · comminution_energy · comminution_law_fit · breakage_first_order_fit · replicate_compare

*Provenance: grind.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

ae_size_correspondence — DRIVE grind op