alsdb.processing.waveform.simulate_waveform#
- alsdb.processing.waveform.simulate_waveform(provider: TileDBProvider, center_x: float, center_y: float, year: int | None = None, footprint_radius: float = 12.5, z_step: float = 0.15, sigma: float = 0.64, beam_id: str | None = None, noise_std: float = 0.0, intensity_weighted: bool = False, gaussian_beam_weighting: bool = True, sigma_beam: float | None = None, beam_extent_sigma: float = 3.0, slope_correction: bool = False, min_points: int = 25, cover_threshold: float = 2.0, rv_rg: float = 1.0, rh_levels: tuple[int, ...] = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100), rng: Generator | None = None, return_weighting: str = 'count', density_radius: float | None = None) WaveformResult | None[source]#
Query a footprint and simulate it; see waveform_from_points for parameters.