Modeling the Wavelength Dependence of Pixel Response Nonuniformity of a CCD Sensor

Abstract Precision measurements in astronomy require stringent control of systematics such as those arising from imperfect correction of sensor effects. In this work, we develop a parametric method to model the wavelength dependence of pixel response nonuniformity (PRNU) for a laser-annealed backside-illuminated charge-coupled device. The model accurately reproduces the PRNU patterns of flat-field images taken at nine wavelengths from 290 to 950 nm, leaving the rms residuals no more than 0.2% in most cases. By removing the large-scale nonuniformity in the flat fields, the rms residuals are further reduced. This model fitting approach gives more accurate predictions of the PRNU than cubic-spline interpolation does with fewer free parameters. It can be applied to make PRNU corrections for individual objects according to their spectral energy distribution to reduce the photometry errors caused by the wavelength-dependent PRNU, if sub-percent level precision is required.

Authors

Publication Details

Journal
The Astronomical Journal
Published
2024-11-19
DOI
https://doi.org/10.3847/1538-3881/ad83b6
Citations
2
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
2.60

Funders

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article

Modeling the Wavelength Dependence of Pixel Response Nonuniformity of a CCD Sensor

Wei Du, B.J. Chen, Zun Luo, Xianmin Meng et al.
2 citations
The Astronomical Journal
Infrared Target Detection Methodologies
2.60
article

Modeling the Wavelength Dependence of Pixel Response Nonuniformity of a CCD Sensor

Wei Du, B.J. Chen, Zun Luo, Xianmin Meng, Hu Zhan
article en
2 citations

Abstract

Abstract Precision measurements in astronomy require stringent control of systematics such as those arising from imperfect correction of sensor effects. In this work, we develop a parametric method to model the wavelength dependence of pixel response nonuniformity (PRNU) for a laser-annealed backside-illuminated charge-coupled device. The model accurately reproduces the PRNU patterns of flat-field images taken at nine wavelengths from 290 to 950 nm, leaving the rms residuals no more than 0.2% in most cases. By removing the large-scale nonuniformity in the flat fields, the rms residuals are further reduced. This model fitting approach gives more accurate predictions of the PRNU than cubic-spline interpolation does with fewer free parameters. It can be applied to make PRNU corrections for individual objects according to their spectral energy distribution to reduce the photometry errors caused by the wavelength-dependent PRNU, if sub-percent level precision is required.

The Astronomical JournalVol. 168(6)
China National Funds for Distinguished Young Scientists, Joint Fund of Astronomy, Key Programme, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 8%
Infrared Target Detection Methodologies
2.60
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