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Detection-based features

These features require a non-detection column passed as sigma (set to 0 for non-detections).

light_curve.FluxNNotDetBeforeFd

Bases: BaseSingleBandFeature

Number of non-detections before the first detection for measurements of the flux.

Feature use a user-defined signal to noise ratio to define non-detections and count their number before the first detection. strictly_fainter flag allows counting non-detections with a strictly smaller upper limit than the first detection flux (there is no such feature in the original article).

  • Depends on: flux
  • Minimum number of observations: 2
  • Number of features: 1

Attributes:

Name Type Description
signal_to_noise float

Signal to noise ratio.
strictly_fainter bool

Flag to determine if to find non-detections with strictly smaller upper limit than the first detection flux.
P. Sánchez-Sáez et al 2021, [DOI 10.3847/1538-3881/abd5c1](https://doi.org/10.3847/1538-3881/abd5c1)

light_curve.MagnitudeNNotDetBeforeFd

Bases: BaseSingleBandFeature

Number of non detections before the first detection for measurements of the magnitude.

Feature use a user-defined value to mark non-detections: measurements with sigma equal to this value considered as non detections. strictly_fainter flag allows counting non-detections with a strictly larger upper limit than the first detection magnitude (there is no such feature in the original article).

  • Depends on: magnitude
  • Minimum number of observations: 2
  • Number of features: 1

Attributes:

Name Type Description
sigma_non_detection float

Sigma value to mark the non detections values, may not be NaN.
strictly_fainter bool

Flag to determine if to find non-detections with strictly larger upper limit than the first detection magnitude.
P. Sánchez-Sáez et al 2021, [DOI 10.3847/1538-3881/abd5c1](https://doi.org/10.3847/1538-3881/abd5c1)