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We use Python I, II, and III cosmic microwave background anisotropy data to constrain cosmogonies. We account for the Python beamwidth and calibration uncertainties. We consider open and spatially-flat-Lambda cold dark matter cosmogonies, with nonrelativistic-mass density parameter Omega₀ in the range 0. 1--1, baryonic-mass density parameter OmegaB in the range (0. 005--0. 029) h^-2, and age of the universe t₀ in the range (10--20) Gyr. Marginalizing over all parameters but Omega₀, the combined Python data favors an open (spatially-flat-Lambda) model with Omega₀ simeq 0. 2 (0. 1). At the 2 sigma confidence level model normalizations deduced from the combined Python data are mostly consistent with those drawn from the DMR, UCSB South Pole 1994, ARGO, MAX 4 and 5, White Dish, and SuZIE data sets.
Rocha et al. (Mon,) studied this question.