particle_size_synth — DRIVE `grind` op

• Data kinds: scalar × scalar → table

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

Usage

> This operator's description has not been translated yet. The original text follows as it is.

対数正規の体積分布を装置と同じ区間に割り付けた粒度分布(真値つき)。

体積の累積 `F(x) = Φ((ln x − ln d50) / σ)。edges` を省くと公開データの装置の 74 端(比 1.13616)。

返り: `edges・volume(%)と truth(d10・d50・d90 = d50 · exp(±1.28155 σ)、sigma_ln`)。

区間の外にはみ出す体積が 1e-6 を超えると `ValueError`(端で切ると D10/D90 が黙って動く)。

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_dose_uniformity_from_grinding — py -3.11 examples/poc_dose_uniformity_from_grinding.py

• 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 · comminution_energy · comminution_law_fit · breakage_first_order_fit · replicate_compare · ae_read_csv

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

particle_size_synth — DRIVE grind op