optimal_snr — ONED `matched` op

• Data kinds: signal × pairs → measurement

• Call: import fullseye as fs; fs.ledger.optimal_snr(template, psd, rate: 'float' = 4096.0, *, f_low_hz: 'float | None' = 20.0, f_high_hz: 'float | None' = None) -> 'float' (to call the implementation directly, import gwsearch; gwsearch.optimal_snr(template, psd, rate: 'float' = 4096.0, *, f_low_hz: 'float | None' = 20.0, f_high_hz: 'float | None' = None) -> 'float'; from the registry, ops1d.get("optimal_snr"))

Usage

Optimal SNR of a template, σ = √(4∫|h̃|²/S df) (measurement).

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

Parameters

template : array_like

波形(1-D)。

psd : array_like

片側 PSD の pairs。

rate : float

標本化周波数 [Hz]。

f_low_hz, f_high_hz : float or None

内積を取る帯域(None は端まで)。

Returns

float

この PSD の雑音に対し、位相・時刻が既知のときに期待される SNR。

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_gw_detector_pseudo_simulation — py -3.11 examples/poc_gw_detector_pseudo_simulation.py

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

—

Same category (`matched`)

psd_welch · whiten_by_psd · chirp_newtonian · chirp_mass_from_track · matched_filter_snr · coincidence_delay

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

optimal_snr — ONED matched op