countrate_to_counts — REPRCONV `algebra` op

• Data kinds: countrate → counts

• Call: import reprconv; reprconv.countrate_to_counts(countrate, gate_s=0.001) (or opsreprconv.get("countrate_to_counts"))

Usage

Count rate `[Hz] → counts. The exit from countrate` (invertible).

> The detailed description below is the original text — the summary and the headings are translated.

単位が変換の全内容: `[1/s] * [s] = [1]。gate_s` は積算窓の秒数で、

既定 1 ms。`counts` は「時間 bin ごとの光子数」の型なので、レート列を

そのまま counts と名乗らせると桁が 7 つずれたまま黙って通る

(`TYPE_CHECKS` はどちらも「非負の 1-D」としか見ていない)。

:func:counts_to_countrate と往復して実測 max|Δ| = 9.3e-10(値域が 1e3-1e7 Hz なので

相対 1e-16 = 倍精度の丸め 1 単位ぶん。絶対値だけ見ると大きく見えるので、

レートのように桁が広い量は相対で言う)。

Args:

countrate: (N,) の非負レート [Hz]。

gate_s: 積算窓 [s]。> 0。

Returns:

(N,) float64 の非負計数。

Raises:

ValueError: 負のレート / gate_s <= 0 / 形状不正 / 非有限。

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 `counts` as input)

counts_to_countrate

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).*

countrate_to_counts — REPRCONV algebra op