drag_coefficient_sphere — DRIVE `ball` op

• Data kinds: signal → signal

• Call: import fullseye as fs; fs.ledger.drag_coefficient_sphere(reynolds) -> 'np.ndarray' (to call the implementation directly, import ballistics; ballistics.drag_coefficient_sphere(reynolds) -> 'np.ndarray'; from the registry, opsdrive.get("drag_coefficient_sphere"))

Usage

Empirical formula for the drag coefficient of a smooth sphere (Morrison 2013, Re ≲ 1e6): 24/Re + 2.6(Re/5)/(1 + (Re/5)^1.52) + 0.411(Re/263000)^−7.94/(1 + (Re/263000)^−8) + 0.25(Re/1e6)/(1 + Re/1e6). ≈ 0.4–0.5 for a table tennis ball (Re ≈ 1–5 × 10⁴).

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)

• (none yet)

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

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

Same category (`ball`)

ball_params · impact_params · flight_vacuum · flight_ode · flight_simulate · flight_state_at · magnus_lift_coefficient · bounce

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

drag_coefficient_sphere — DRIVE ball op