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2022 ◽  
Vol 235 ◽  
pp. 111451
Author(s):  
Dipendra Pokhrel ◽  
Ebin Bastola ◽  
Kamala Khanal Subedi ◽  
Suman Rijal ◽  
Manoj K. Jamarkattel ◽  
...  

2021 ◽  
Vol 21 (10) ◽  
pp. 268
Author(s):  
Peng Qiu ◽  
Yong Zhao ◽  
Jie Zheng ◽  
Jian-Feng Wang ◽  
Xiao-Jun Jiang

Abstract To evaluate performances of a back-illuminated scientific CMOS (sCMOS) camera for astronomical observations, comparison tests between Andor Marana sCMOS and Andor iKon-L 936 CCD cameras were conducted in a laboratory and on a telescope. The laboratory tests showed that the readout noise of the sCMOS camera is about half lower, the dark current is about 17 times higher, the dynamic range is lower in the 12-bit setting and higher in the 16-bit setting, and the linearity and bias stability are comparable relative to those of the CCD camera. In field tests, we observed the open cluster M67 with the sCMOS and CCD cameras on a 60 cm telescope. Unlike the CCD camera, the sCMOS camera has a dual-amplifier architecture. Since a 16-bit image of the sCMOS camera is composed of two 12-bit images sampled with 12-bit high gain and low gain amplifiers simultaneously, it is not real 16-bit output data. The evaluation tests indicated that the dual-amplifier architecture of the sCMOS camera leads to a decline of photometric stability by about six times around specific pixel counts. For photometry of bright objects with similar magnitudes that require high frame rates, the sCMOS camera under 12-bit setting is a good choice. Therefore, the sCMOS camera is fitted with survey observations of variable objects requiring short exposure times, mostly less than 1 s, and high frame rates. It also satisfies the requirements for an offset guiding instrument owing to its high sensitivity, high temporal resolution and high stability.


2021 ◽  
pp. 131144
Author(s):  
Yiren Chen ◽  
Zhiwei Zhang ◽  
Guoqing Miao ◽  
Hong Jiang ◽  
Hang Song

2021 ◽  
pp. 000370282110466
Author(s):  
Christine Massie ◽  
Keren Chen ◽  
Andrew J. Berger

Back-illuminated charged-coupled device (BI-CCD) arrays increase quantum efficiency but also amplify etaloning, a multiplicative, wavelength-dependent fixed-pattern effect. When spectral data from hundreds of BI-CCD rows are combined, the averaged spectrum will generally appear etalon-free. This can mask substantial etaloning at the row level, even if the BI-CCD has been treated to suppress the effect. This paper compares two methods of etalon correction, one with simple averaging and one with row-by-row calibration using a fluorescence standard. Two BI-CCD arrays, both roughened by the supplier to reduce etaloning, were used to acquire Raman spectra of murine bone specimens. For one array, etaloning was the dominant source of noise under the exposure conditions chosen, even for the averaged spectrum across all rows; near-infrared-excited Raman peaks were noticeably affected. In this case, row-by-row calibration improved the spectral quality of the average spectrum. The other CCD’s performance was shot-noise limited and therefore received no benefit from the extra calibration. The different results highlight the importance of checking for and correcting row-level fixed pattern when measuring weak Raman signals in the presence of a large fluorescence background.


Author(s):  
Beverly J. LaMarr ◽  
Marshall W. Bautz ◽  
Barry Burke ◽  
Michael Cooper ◽  
Kevan Donlon ◽  
...  

2021 ◽  
Author(s):  
Adam B. Phillips ◽  
Ramez Hosseinian Ahangharnejhad ◽  
Kamala Khanal Subedi ◽  
Manoj K. Jamarkattel ◽  
Dipendra Pokhrel ◽  
...  

2021 ◽  
Vol 2021 (1) ◽  
pp. 51-55
Author(s):  
David R. Wyble

An imaging process is described which captures spectral transmittance for transmissive media. The specific application is positive and negative large-format film. The system is based on a ten channel LED backlight source and a monochrome camera. The LED source sequentially back-illuminated reference targets and film samples, with an image captured for each LED channel. From the measured data and images of reference targets, a model was developed to predict spectral transmittance. With that model, the 10 images of a sample were combined to a single 31-band spectral image. Spectral images can be used to calculate colorimetric data for each pixel. These colorimetric results show that the system produces good colorimetric predictions when compared to the most relevant FADGI guidelines. Some improvement is required for the spectral model particularly in the red region.


2021 ◽  
Vol 15 (6) ◽  
Author(s):  
Guillermo Fernandez Moroni ◽  
Kevin Andersson ◽  
Ana Botti ◽  
Juan Estrada ◽  
Dario Rodrigues ◽  
...  

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