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Removal of Polynomials From Raw Aperture Flux Time Series?
While examining some data about the new discovery of Kepler-22b, I noticed a plotted data set described as a "flux time series after [the] removal of a second-order polynomial for each segment and normalizing the data of each quarter by the median" (see Figure 1 at http://kepler.nasa.gov/Mission/discoveries/kepler2... ). I'd like to better understand what this means. Any guidance, links, or direction would be greatly appreciated.
I understand a flux time series is, of course, a measure of the light arriving from the star as plotted over time but I do not understand the process of removing polynomials and normalizing the data or the value of doing these things. My assumption is that this involves some sort of reverse local regression.
2 Answers
- Anonymous10 years agoFavourite answer
Okay. Thank you for that helpful information. Live well and prosper, my friend.
- Anonymous10 years ago
I think the best way to approach this problem is to calibrate the localized subspace reverser whenever the flux polarity inversion is undefined. Then, the perpetua denominator is easily retracable. Hope to have helped!