Joint likelihood
Definition: The combined probability of multiple datasets given shared model parameters and stated dependence assumptions.
Why it matters here: In Cosmological Synthesis, Tensions, and Tests, Joint likelihood is needed to reason about multi-probe consistency, covariance, model comparison, and open questions rather than merely label the phenomenon.
Relationship: It is interpreted alongside Covariance matrix and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: This summary is conditional on independent Gaussian errors; shared calibration or model covariance changes the interpretation.
\(\\chi^2=(\\mathbf d-\\mathbf m)^T C^{-1}(\\mathbf d-\\mathbf m)\)
Covariance matrix
Definition: A matrix encoding variances and correlated errors among measured quantities or fitted summaries.
Why it matters here: In Cosmological Synthesis, Tensions, and Tests, Covariance matrix is needed to reason about multi-probe consistency, covariance, model comparison, and open questions rather than merely label the phenomenon.
Relationship: It is interpreted alongside Posterior tension and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: This summary is conditional on independent Gaussian errors; shared calibration or model covariance changes the interpretation.
Posterior tension
Definition: A quantified mismatch between parameter constraints after priors, likelihoods, and covariance are specified.
Why it matters here: In Cosmological Synthesis, Tensions, and Tests, Posterior tension is needed to reason about multi-probe consistency, covariance, model comparison, and open questions rather than merely label the phenomenon.
Relationship: It is interpreted alongside Model comparison and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: This summary is conditional on independent Gaussian errors; shared calibration or model covariance changes the interpretation.
Model comparison
Definition: The assessment of relative explanatory performance while accounting for fit quality, complexity, and prior assumptions.
Why it matters here: In Cosmological Synthesis, Tensions, and Tests, Model comparison is needed to reason about multi-probe consistency, covariance, model comparison, and open questions rather than merely label the phenomenon.
Relationship: It is interpreted alongside Concordance model and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: This summary is conditional on independent Gaussian errors; shared calibration or model covariance changes the interpretation.
Concordance model
Definition: A cosmological model supported by mutually consistent constraints from several independent probes and epochs.
Why it matters here: In Cosmological Synthesis, Tensions, and Tests, Concordance model is needed to reason about multi-probe consistency, covariance, model comparison, and open questions rather than merely label the phenomenon.
Relationship: It is interpreted alongside Joint likelihood and the lecture relation below; identify which quantities are observed, calibrated, or model-derived.
Limitation or common confusion: This summary is conditional on independent Gaussian errors; shared calibration or model covariance changes the interpretation.