Source catalog
Definition: A structured set of detected components with measured properties, flags, and provenance.
Why it matters here: It is needed to answer A deeper survey detects a higher source density. List two physical interpretations and two selection/systematic explanations before claiming population evolution. and to interpret NVSS and other radio surveys enable population studies but differ in resolution, frequency, coverage, and source-finding thresholds.
Relationships: Use it with Reproducible workflow and Completeness correction; the lecture model is \(\Sigma=\frac{N_{\rm det}}{A C},\qquad\sigma_\Sigma\simeq\frac{\sqrt{N_{\rm det}}}{A C}\).
Boundary or common confusion: The Poisson uncertainty ignores cosmic variance, clustering, completeness uncertainty, and Eddington bias near the threshold; state which terms dominate the intended inference.
Completeness correction
Definition: A statistical adjustment for sources missed by detection and selection.
Why it matters here: It is needed to answer A deeper survey detects a higher source density. List two physical interpretations and two selection/systematic explanations before claiming population evolution. and to interpret NVSS and other radio surveys enable population studies but differ in resolution, frequency, coverage, and source-finding thresholds.
Relationships: Use it with Source catalog and Reliability; the lecture model is \(\Sigma=\frac{N_{\rm det}}{A C},\qquad\sigma_\Sigma\simeq\frac{\sqrt{N_{\rm det}}}{A C}\).
Boundary or common confusion: The Poisson uncertainty ignores cosmic variance, clustering, completeness uncertainty, and Eddington bias near the threshold; state which terms dominate the intended inference.
Reliability
Definition: The fraction of catalog entries expected to correspond to real astrophysical sources.
Why it matters here: It is needed to answer A deeper survey detects a higher source density. List two physical interpretations and two selection/systematic explanations before claiming population evolution. and to interpret NVSS and other radio surveys enable population studies but differ in resolution, frequency, coverage, and source-finding thresholds.
Relationships: Use it with Completeness correction and Confusion; the lecture model is \(\Sigma=\frac{N_{\rm det}}{A C},\qquad\sigma_\Sigma\simeq\frac{\sqrt{N_{\rm det}}}{A C}\).
Boundary or common confusion: The Poisson uncertainty ignores cosmic variance, clustering, completeness uncertainty, and Eddington bias near the threshold; state which terms dominate the intended inference.
Confusion
Definition: Blending or background fluctuations caused by multiple unresolved sources within the response.
Why it matters here: It is needed to answer A deeper survey detects a higher source density. List two physical interpretations and two selection/systematic explanations before claiming population evolution. and to interpret NVSS and other radio surveys enable population studies but differ in resolution, frequency, coverage, and source-finding thresholds.
Relationships: Use it with Reliability and Reproducible workflow; the lecture model is \(\Sigma=\frac{N_{\rm det}}{A C},\qquad\sigma_\Sigma\simeq\frac{\sqrt{N_{\rm det}}}{A C}\).
Boundary or common confusion: The Poisson uncertainty ignores cosmic variance, clustering, completeness uncertainty, and Eddington bias near the threshold; state which terms dominate the intended inference.
Reproducible workflow
Definition: A recorded chain of data, code, configuration, environment, and validation sufficient to audit a claim.
Why it matters here: It is needed to answer A deeper survey detects a higher source density. List two physical interpretations and two selection/systematic explanations before claiming population evolution. and to interpret NVSS and other radio surveys enable population studies but differ in resolution, frequency, coverage, and source-finding thresholds.
Relationships: Use it with Confusion and Source catalog; the lecture model is \(\Sigma=\frac{N_{\rm det}}{A C},\qquad\sigma_\Sigma\simeq\frac{\sqrt{N_{\rm det}}}{A C}\).
Boundary or common confusion: The Poisson uncertainty ignores cosmic variance, clustering, completeness uncertainty, and Eddington bias near the threshold; state which terms dominate the intended inference.