DiscoveryMetric

class rubin_sim.maf.metrics.DiscoveryMetric(n_obs_per_night=2, t_min=0.003472222222222222, t_max=0.0625, n_nights_per_window=3, t_window=15, snr_limit=None, badval=None, **kwargs)

Bases: BaseMoMetric

Identify the discovery opportunities for an SSobject.

Parameters:

n_obs_per_nightint, optional

Number of observations required within a single night. Default 2.

t_minfloat, optional

Minimum time span between observations in a single night, in days. Default 5 minutes (5/60/24).

t_maxfloat, optional

Maximum time span between observations in a single night, in days. Default 90 minutes.

n_nights_per_windowint, optional

Number of nights required with observations, within the track window. Default 3.

t_windowint, optional

Number of nights included in the track window. Default 15.

snr_limitNone or float, optional

SNR limit to use for observations. If snr_limit is None, (default), then it uses the completeness calculation added to the ‘vis’ column (probabilistic visibility, based on 5-sigma limit). If snr_limit is not None, it uses this SNR value as a cutoff.

metricNamestr, optional

The metric name to use. Default will be to construct Discovery_nObsPerNightxnNightsPerWindowintWindow.

Methods Summary

run(sso_obs, orb, hval)

Calculate the metric value.

Methods Documentation

run(sso_obs, orb, hval)

Calculate the metric value.

Parameters:

sso_obs: np.ndarray

The input data to the metric (same as the parent metric).

orb: np.ndarray

The information about the orbit for which the metric is being calculated.

hvalfloat

The H value for which the metric is being calculated.

Returns:

float or np.ndarray or dict