Features based on wavelet analysis and the Lomb–Scargle periodogram used in the RF algorithm.
Feature . | Description . |
---|---|
wa_ period | Period from wavelet analysis. |
s_ per | Width of the Gaussian fit to the period peak in wavelet analysis. |
std_ flat | Standard deviation of the flattened wavelet analysis. |
wa_std | Standard deviation of the power spectrum from wavelet analysis. |
pgram_std | Standard deviation of the Lomb–Scargle periodogram. |
Feature . | Description . |
---|---|
wa_ period | Period from wavelet analysis. |
s_ per | Width of the Gaussian fit to the period peak in wavelet analysis. |
std_ flat | Standard deviation of the flattened wavelet analysis. |
wa_std | Standard deviation of the power spectrum from wavelet analysis. |
pgram_std | Standard deviation of the Lomb–Scargle periodogram. |
Features based on wavelet analysis and the Lomb–Scargle periodogram used in the RF algorithm.
Feature . | Description . |
---|---|
wa_ period | Period from wavelet analysis. |
s_ per | Width of the Gaussian fit to the period peak in wavelet analysis. |
std_ flat | Standard deviation of the flattened wavelet analysis. |
wa_std | Standard deviation of the power spectrum from wavelet analysis. |
pgram_std | Standard deviation of the Lomb–Scargle periodogram. |
Feature . | Description . |
---|---|
wa_ period | Period from wavelet analysis. |
s_ per | Width of the Gaussian fit to the period peak in wavelet analysis. |
std_ flat | Standard deviation of the flattened wavelet analysis. |
wa_std | Standard deviation of the power spectrum from wavelet analysis. |
pgram_std | Standard deviation of the Lomb–Scargle periodogram. |
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