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In order to caracterize the sorted magnitudes distribution we use percentiles. If F5, 95 is the difference between 95% and 5% magnitude values, we calculate the following:
flux_percentile_ratio_mid20: ratio F40, 60/F5, 95
flux_percentile_ratio_mid35: ratio F32.5, 67.5/F5, 95
flux_percentile_ratio_mid50: ratio F25, 75/F5, 95
flux_percentile_ratio_mid65: ratio F17.5, 82.5/F5, 95
flux_percentile_ratio_mid80: ratio F10, 90/F5, 95
For the first feature for example, in the case of a normal distribution, this is equivalente to calculate:
Create plot routine for extractor
FluxPercentileRatioMid20
.Path: feets.extractors.ext_flux_percentile_ratio.py
Features
Extractor Documentation
In order to caracterize the sorted magnitudes distribution we use percentiles. If F5, 95 is the difference between 95% and 5% magnitude values, we calculate the following:
For the first feature for example, in the case of a normal distribution, this is equivalente to calculate:
So, the expected values for each of the flux percentile features are:
References
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