Optimising the K dark filter for the Kunlun Infrared Sky Survey
Yushan Li, Jessica Zheng, Peter Tuthill, Matthew Freeman, Michael, Ashley, Michael Burton, Jon Lawrence, Jeremy Mould, Lifan Wang
TL;DR
This paper optimizes the K dark filter for the Kunlun Infrared Sky Survey by simulating signal-to-noise ratios to enhance infrared observations from the Antarctic site.
Contribution
It introduces a simulation-based approach to optimize the K dark filter for improved infrared survey performance at the Kunlun site.
Findings
Optimal filter designs for various atmospheric conditions
Enhanced signal-to-noise ratios in the K_DARK band
Guidelines for filter tuning based on site conditions
Abstract
The Kunlun Infrared Sky Survey will be the first comprehensive exploration of the time varying Universe in the infrared. A key feature in optimizing the scientific yield of this ambitious research program is the choice of the survey passband. In particular the survey aims to maximally exploit the unique thermal and atmospheric conditions pertaining to the high Antarctic site. By simulating the expected signal-to-noise for varying filter properties within the so-called "K_DARK" 2.4um window, filter performance can be tuned and best-case designs are given covering a range of conditions.
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