ae_read_csv — DRIVE `grind` op

• Data kinds: any → signal

• Call: import fullseye as fs; fs.ledger.ae_read_csv(path, header_lines: 'int' = 12, offset: 'float' = 32768.0, full_scale: 'float' = 32768.0) -> 'np.ndarray' (to call the implementation directly, import grind; grind.ae_read_csv(path, header_lines: 'int' = 12, offset: 'float' = 32768.0, full_scale: 'float' = 32768.0) -> 'np.ndarray'; from the registry, opsdrive.get("ae_read_csv"))

Usage

Converts a raw AE CSV (header_lines header rows + 1 ADC sample per 1 row) into a voltage signal [V].

The public data's ADC is 16 bit, ±1 V, straight offset binary (0 → −1 V, 32768 → 0 V, 65535 → +1 V), so (raw − offset) / full_scale (same as the conversion in the analysis code). The path is not kept in the return value. Non-numeric rows / empty → ValueError.

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 `signal` as input)

flight_vacuum · magnus_lift_coefficient · drag_coefficient_sphere · restitution_from_apexes · restitution_from_intervals · fit_parabola · flight_fit · fit_aero

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_read_csv — DRIVE grind op