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Table 5

Summary of retrievals run on synthetic data.

Dataset χ2/ndata logℒ BIC dm
KLIP, C 0.69 2692 −5289 2.35
KLIP, diag(C) 0.41 2656 −5218 3.29
PynPoint, C 1.72 2646 −5220 5.63
PynPoint, diag(C) 1.43 2641 −5208 9.60
Andromeda, diag(C) 0.39 2650 −5266 4.62
Gaussian, diag(C) 1.06 2651 −5267 2.21
Noise Free, diag(C) 0.06 2686 −5336 1.69

Notes. We compare best fit reduced χ2/ndata the (negative) log likelihood which includes the covariance weighting term of Eq. (9), the Bayesian Information Criterion of Eq. (10) and the Mahalanobis dM from Eq. (11). Retrievals were performed on data processed with each algorithm, both using the full and diagonal only terms of the covariance matrix. Toy models using univariate Gaussian scatter about the input and no scatter are also included, with the uncertainties defined as diag(C) from the KLIP data.

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