particle_size_dx — DRIVE `grind` op

• Data kinds: table × scalar → scalar

• Call: import fullseye as fs; fs.ledger.particle_size_dx(psd: 'dict', q: 'float' = 50.0, convention: 'str' = 'log_edges') -> 'float' (to call the implementation directly, import grind; grind.particle_size_dx(psd: 'dict', q: 'float' = 50.0, convention: 'str' = 'log_edges') -> 'float'; from the registry, opsdrive.get("particle_size_dx"))

Usage

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

体積累積 `q % の径 Dq [µm] (D10 / D50 / D90 は q` = 10 / 50 / 90)。

`convention`:

• `"log_edges"(既定、装置のヘッダの Dx (50)` と一致): 端 i の累積に対して log(径) を線形補間。

• `"linear_edges"`: 端の累積に対して径そのものを線形補間(区間内の体積が径について一様、の仮定)。

• `"lower_cumsum": 公開の解析コードの学習の段の定義 np.interp(q/100, cumsum(v), edges)`(累積を区間の下の端に置く)。

1 区間分小さく出る(この装置で −11.9 %)。比較のために再現しているだけで、推奨しない。

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 `scalar` as input)

spin_from_marker_sequence · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain · osm_parse

Same category (`grind`)

particle_size_read · particle_size_oversize · particle_size_synth · 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_dx — DRIVE grind op