pyacs.gts.lib.noise module¶
Pyacs noise module This is a wrapper to Globk tsfit and the CATS Software Reference Herring, T. A., King, R. W., Floyd, M. A. & McClusky, S. C. (2015). GAMIT/GLOBK Reference manual, 10.6. Williams, S. D. (2008). CATS: GPS coordinate time series analysis software. GPS solutions, 12(2), 147-153.
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pyacs.gts.lib.noise.wrms(self)[source]¶ Return the wrms
- Return wrms
return(np.array([wrms_n,wrms_e,wrms_up]))
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pyacs.gts.lib.noise.realistic_sigma(self, option='tsfit', in_place=False, verbose=False)[source]¶ Calculates realistic sigmas on velocity components :param option:
tsfit: globk T. Herring realistic sigma
cats_pl: CATS estimates with noise type estimated (i.e. –model=pl:)
cats_seasonal_pl: CATS estimates with seasonal terms and noise type estimated (i.e. –model=pl: –sinusoid=1y1)
cats_flicker: CATS estimates assuming flicker noise (i.e. –model=pl:k-1)
cats_seasonal_flicker: CATS estimates with seasonal terms and assuming flicker noise (i.e. –model=pl:k-1 –sinusoid=1y1)
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pyacs.gts.lib.noise.sigma_cats(self, in_place=False, verbose=False, k='k-1', seasonal='')[source]¶ runs CATS for getting realistic sigma