Robust detection of CID double stars in SDSS

TL;DR

This paper presents a robust method for detecting and confirming Colour Induced Displacement double stars in SDSS data, achieving high accuracy through successive data filtering and validation procedures.

Contribution

The study introduces a new detection and confirmation method for CID double stars in SDSS, improving reliability over previous approaches.

Findings

Approximately 3,200 CID double stars identified

40 objects confirmed with multiple detections

Validation through consistency checks enhances detection reliability

Abstract

Aims. The Sloan Digital Sky Survey (SDSS) offers a unique possibility of not only detecting Colour Induced Displacement (CID) double stars but also confirming these detections. Methods. Successive cuts are applied to the SDSS DR12 database in order to reduce the size of the sample to be considered. The resulting dataset is then screened with a criterion based on the distance and orientation of the photocentres in different photometric bands. Results. About 3 200 distinct objects are classified as CID double stars, 40 of which are confirmed with at least a second detection. A consistency check further validates these detections.