Application of USNO-B1.0 towards selecting objects with displaced blue and red components
Joel S. Jayson

TL;DR
This study demonstrates a method using USNO-B1.0 data to identify celestial objects with displaced red and blue components, such as binary stars and asymmetric galaxies, validated by SDSS data comparisons.
Contribution
The paper introduces a novel technique leveraging residual vector analysis from USNO-B1.0 to detect objects with displaced color components, enhancing identification of binary systems and asymmetric galaxies.
Findings
Successfully identified 146 candidate objects with displaced components.
Approximately 25% of candidates matched SDSS data, confirming effectiveness.
Vectors from residuals aligned with SDSS pair angles, supporting the method's validity.
Abstract
We have conducted a feasibility study to determine the effectiveness of using USNO-B1.0 data to preferentially detect objects with displaced red and blue components. A procedure was developed to search catalogue entries for such objects, which include M dwarfs paired with white dwarfs or with earlier main-sequence stars, and galaxies with asymmetric colour distributions. Residual differences between red and blue and infrared and blue scanned emulsion images define vectors, which, when appropriately aligned and of sufficient length, signal potential candidates. Test sample sets were analysed to evaluate the effective discrimination of the technique. Over 91,000 USNO-B1.0 catalogue entries at points throughout the celestial sphere were then filtered for acceptable combinations of entry observations and magnitudes and the resulting total of about 17,000 entries was winnowed down to a…
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