benmontet
commented
10 years ago Yes it would! Assuming we can't get rid of all of it, so there's definitively no correlated noise left :)
On Thu, Aug 14, 2014 at 10:14 PM, Ian Czekala notifications@github.com wrote:
It would be awesome if along with the posterior on the magnitude of the measurement, this procedure also delivered an estimate of the covariance between data points, even something simple. For example it could be something like the amp and length scale of the squared exponential kernel that best characterizes the width of the diagonal band in the covariance matrix. This could give users of the data product a quick sanity check of how much instrumental correlated noise might remain.
— Reply to this email directly or view it on GitHub https://github.com/benmontet/K2-noise/issues/5.
It would be awesome if along with the posterior on the magnitude of the measurement, this procedure also delivered an estimate of the covariance between data points, even something simple. For example it could be something like the amp and length scale of the squared exponential kernel that best characterizes the width of the diagonal band in the covariance matrix. This could give users of the data product a quick sanity check of how much instrumental correlated noise might remain.