Diagnostic plots
Fitted pointing terms with 1-sigma uncertainties (arcsec) [AZEL mode]: AN: 5.9919 +/- 0.1430 arcsec AW: 43.9072 +/- 0.1492 arcsec IA: 94.7897 +/- 0.4886 arcsec IE: -2.6396 +/- 12.6334 arcsec CA: 60.5666 +/- 0.2031 arcsec TX: -147.2984 +/- 3.1688 arcsec ECES: -243.4920 +/- 11.4790 arcsec HZSZ2: 6.7752 +/- 1.8220 arcsec Fit RMS Az: 0.57 arcsec Fit RMS El: 2.95 arcsec Fit total RMS: 3.01 arcsec Population standard deviation of residuals: 3.14 arcsec Bayesian Ridge diagnostics: Final noise precision (alpha): 7.5766e+09 Final weight precision (lambda): 4.0000e+01 Prior alpha_2 (noise spread): 1.0000e-15 Prior lambda_2 (weight spread): 1.0000e-01 Noise and regularization analysis: - Estimated noise std: 1.1488e-05 rad (2.37 arcsec) * Good: Acceptable noise level for pointing - Regularization strength appears appropriate Strongly correlated parameters (|r| > 0.8): IA vs CA: -0.86 IE vs TX: 0.99 IE vs ECES: 1.00 TX vs ECES: 0.99
Parameter , AN , AW , IA , IE , CA , TX , ECES , HZSZ2 ---------------------------------------------------------------------------------------------------- AN , 1.000 , -0.096 , 0.311 , -0.065 , -0.415 , -0.065 , -0.064 , -0.048 AW , -0.096 , 1.000 , -0.095 , -0.069 , 0.160 , -0.075 , -0.067 , -0.049 IA , 0.311 , -0.095 , 1.000 , -0.015 , -0.863 , -0.015 , -0.015 , -0.011 IE , -0.065 , -0.069 , -0.015 , 1.000 , 0.018 , 0.990 , 0.997 , 0.741 CA , -0.415 , 0.160 , -0.863 , 0.018 , 1.000 , 0.017 , 0.018 , 0.013 TX , -0.065 , -0.075 , -0.015 , 0.990 , 0.017 , 1.000 , 0.993 , 0.656 ECES , -0.064 , -0.067 , -0.015 , 0.997 , 0.018 , 0.993 , 1.000 , 0.690 HZSZ2 , -0.048 , -0.049 , -0.011 , 0.741 , 0.013 , 0.656 , 0.690 , 1.000 Notes: Diagonal values (self-correlations) are always 1.000 Values > |0.8| may indicate significant parameter coupling