Closed bjfultn closed 7 years ago
If I look at all of the 10700 APF observations with reasonable SNR. The strongest correlations (Spearman-rank test ~ 0.1) are actually with the SNR itself. Parameters like the exposure meter counts, and velocity uncertainties from the CPS pipeline are most strongly correlated with the iGrand velocities.
If I restrict the observations to only those taken with approximately the same SNR (phocount ~ 1.0e9) then the strongest correlations are with the wavelength node positions. These are actually stronger (Spearman-rank ~0.2) then the SNR correlations.
There are also correlations with the barycentric correction at about the same level as the wavelength shift correlations. I'm still restricting the SNR to a narrow range here.
Of course, the strongest correlations in either the restricted dataset or the full dataset is with the CPS velocity itself. This is actually pretty interesting...
Wavelength node position vs. observation index
Make plot vs. observation index and wavelength vs. observation index.
Superseded by issue #55
Use
rvdecorr.py
to search for correlations with environmental parameters.