PHOTO-CAT Contamination Assessment of the Ariel Mission Candidate Sample (MCS): Target-by-Target Gaia DR3 JSON Outputs

Le résumé fourni par la source

This dataset accompanies G. Galletta et al. (2026), "PHOTO-CAT - Photometric Contamination Analyzer Tool: A High-Performance Framework for Photometric Contamination Assessment". It contains the complete JSON outputs generated by PHOTO-CAT for the Ariel Mission Candidate Sample (MCS, May 2026), providing target-by-target photometric contamination estimates based on Gaia DR3. Two independent analyses are included, corresponding to different circular contamination radii adopted to approximate the Ariel slit geometry: 13.2 arcsec radius, representing a conservative contamination scenario based on half of the slit length. 3.2 arcsec radius, representing the slit half-width and therefore contaminants that are geometrically unavoidable regardless of slit orientation. Each JSON entry corresponds to one Ariel target and reports the target identifier and astrometric information, contamination metrics, the number of neighboring stars and selected contaminants, detailed properties of every contaminating source (including Gaia source identifier, coordinates, magnitude, and angular separation), together with the contamination model. These datasets allow the complete reproduction of the contamination statistics presented in the paper and provide a target-by-target resource for evaluating contamination risk, identifying the neighboring sources responsible for contamination, and supporting observation planning and target prioritization for the Ariel mission.

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