Paper
9 August 2016 A method for reducing atmospheric noise without chopping for ground-based mid-infrared observations
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Abstract
We introduce a new method named as “weighted average method" to reduce atmospheric noise on the images in ground based mid-infrared observations. The main idea of this method is to find a sky frame corresponded to an object frame by superposition of several sky frames, instead of the conventional chop-and-nod observation technique. This is very useful not only for improving the observing efficiency but also for taking images of extended objects larger than the chopping throw. This method is also valid for reducing data taken by the chopping with insufficient frequency. In this paper we will report the details of the weighted average method and demonstrate its performance against practical observing data.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tomohiko Nakamura, Takashi Miyata, Shigeyuki Sako, Takafumi Kamizuka, Kentaro Asano, Mizuho Uchiyama, and Kazushi Okada "A method for reducing atmospheric noise without chopping for ground-based mid-infrared observations", Proc. SPIE 9908, Ground-based and Airborne Instrumentation for Astronomy VI, 99082U (9 August 2016); https://doi.org/10.1117/12.2231996
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Cited by 1 scholarly publication.
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KEYWORDS
Mid-IR

Sensors

Telescopes

Atmospheric turbulence

Image processing

Photometry

Superposition

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