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I was browsing astropy today and came across a multiband version of the Lomb Scargle periodogram. I was wondering if Stingray could use multiband functionality in not just the Lomb-Scargle periodogram but other algorithms as well. Was thinking of implementing it by maybe creating a general class that can use any existing Stingray class to support multiband, and using new data handling classes to handle it.
Would it be worthwhile implementing it in the context and requirements of Stingray?
The text was updated successfully, but these errors were encountered:
@pupperemeritus definitely. We have some methods that already rely on multiple energy ranges (VarEnergySpectrum children basically), and StingrayTimeseries can handle multiple measurements for each time stamp. Having periodogram methods understand multiple time series might be useful indeed
I was browsing astropy today and came across a multiband version of the Lomb Scargle periodogram. I was wondering if Stingray could use multiband functionality in not just the Lomb-Scargle periodogram but other algorithms as well. Was thinking of implementing it by maybe creating a general class that can use any existing Stingray class to support multiband, and using new data handling classes to handle it.
Would it be worthwhile implementing it in the context and requirements of Stingray?
The text was updated successfully, but these errors were encountered: