counts_to_countrate — REPRCONV `algebra` op

• Data kinds: counts → countrate

• Call: import fullseye as fs; fs.ledger.counts_to_countrate(counts, gate_s=0.001) (to call the implementation directly, import reprconv; reprconv.counts_to_countrate(counts, gate_s=0.001); from the registry, opsreprconv.get("counts_to_countrate"))

Usage

Counts → count rate [Hz]. The inverse of countrate_to_counts.

Args:

counts: (N,) non-negative counts.

gate_s: integration window [s]. > 0.

Returns:

(N,) float64 non-negative rate [Hz].

Raises:

ValueError: negative count / gate_s <= 0 / bad shape / non-finite.

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)

• representation_roundtrip — py -3.11 examples/representation_roundtrip.py

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

countrate_to_counts

Same category (`algebra`)

angle_to_matrix · matrix_to_angle · rot_scale_to_matrix · matrix_to_rot_scale · shift_to_vector · vector_to_shift · cscalar_to_polar · polar_to_cscalar

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

counts_to_countrate — REPRCONV algebra op