Photometry Transformation from RGB Bayer Filter System to Johnson-Cousins BVR Filter System
Woojin Park, Soojong Pak, Hyunjin Shim, Huynh Anh N. Le, Myungshin Im,, Seunghyuk Chang, Joonkyu Yu

TL;DR
This paper develops and validates new photometric transformation equations to convert RGB Bayer filter system magnitudes from DSLR and CCD cameras into the standard Johnson-Cousins BVR system, enabling better scientific use of existing astronomical data.
Contribution
The work introduces a set of equations for reliable photometric transformation from RGB Bayer to Johnson-Cousins BVR system, improving data compatibility for astronomical research.
Findings
Residual differences are approximately 0.04 to 0.06 magnitudes.
Transformed magnitudes show strong linear correlation with observed Johnson-Cousins magnitudes.
The method enables effective use of existing RGB Bayer data in scientific studies.
Abstract
The RGB Bayer filter system consists of a mosaic of R, G, and B filters on the grid of the photo sensors which typical commercial DSLR (Digital Single Lens Reflex) cameras and CCD cameras are equipped with. Lot of unique astronomical data obtained using an RGB Bayer filter system are available, including transient objects, e.g. supernovae, variable stars, and solar system bodies. The utilization of such data in scientific research requires that reliable photometric transformation methods are available between the systems. In this work, we develop a series of equations to convert the observed magnitudes in the RGB Bayer filter system (, , and ) into the Johnson-Cousins BVR filter system (, , and ). The new transformation equations derive the calculated magnitudes in the Johnson-Cousins filters (, , and ) as functions of RGB…
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