A Experiments
–Neural Information Processing Systems
The likelihood-based approach to inference in this context is provided by popular packages such as MontePython [70]. Our simulator is identical to the likelihood that in MontePython is called fake_planck_realistic [71]. This likelihood is used, often in combination with other likelihoods, to forecast the expected constraining power of future experiments. In this model, the power spectra receive non-stochastic contributions from the cosmological model and the idealized measurement instrument.
Neural Information Processing Systems
Mar-3-2024, 06:01:15 GMT
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