Optimising the K Dark Filter for the Kunlun Infrared Sky Survey
Abstract The Kunlun Infrared Sky Survey will be the first comprehensive exploration of the time varying Universe in the infrared. A key feature in optimising the scientific yield of this ambitious research programme is the choice of the survey passband. In particular, the survey aims to maximally ex...
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Online Access: | http://dx.doi.org/10.1017/pasa.2016.5 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1323358016000059 |
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crcambridgeupr:10.1017/pasa.2016.5 2024-03-03T08:38:21+00:00 Optimising the K Dark Filter for the Kunlun Infrared Sky Survey Li, Yushan Zheng, Jessica Tuthill, Peter Freeman, Matthew Ashley, Michael Burton, Michael Lawrence, Jon Mould, Jeremy Wang, Lifan 2016 http://dx.doi.org/10.1017/pasa.2016.5 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1323358016000059 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Publications of the Astronomical Society of Australia volume 33 ISSN 1323-3580 1448-6083 Space and Planetary Science Astronomy and Astrophysics journal-article 2016 crcambridgeupr https://doi.org/10.1017/pasa.2016.5 2024-02-08T08:42:01Z Abstract The Kunlun Infrared Sky Survey will be the first comprehensive exploration of the time varying Universe in the infrared. A key feature in optimising the scientific yield of this ambitious research programme 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’ 2.4 μm window, filter performance can be tuned and best-case designs are given covering a range of conditions. Article in Journal/Newspaper Antarc* Antarctic Cambridge University Press Antarctic Publications of the Astronomical Society of Australia 33 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
topic |
Space and Planetary Science Astronomy and Astrophysics |
spellingShingle |
Space and Planetary Science Astronomy and Astrophysics Li, Yushan Zheng, Jessica Tuthill, Peter Freeman, Matthew Ashley, Michael Burton, Michael Lawrence, Jon Mould, Jeremy Wang, Lifan Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
topic_facet |
Space and Planetary Science Astronomy and Astrophysics |
description |
Abstract The Kunlun Infrared Sky Survey will be the first comprehensive exploration of the time varying Universe in the infrared. A key feature in optimising the scientific yield of this ambitious research programme 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’ 2.4 μm window, filter performance can be tuned and best-case designs are given covering a range of conditions. |
format |
Article in Journal/Newspaper |
author |
Li, Yushan Zheng, Jessica Tuthill, Peter Freeman, Matthew Ashley, Michael Burton, Michael Lawrence, Jon Mould, Jeremy Wang, Lifan |
author_facet |
Li, Yushan Zheng, Jessica Tuthill, Peter Freeman, Matthew Ashley, Michael Burton, Michael Lawrence, Jon Mould, Jeremy Wang, Lifan |
author_sort |
Li, Yushan |
title |
Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
title_short |
Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
title_full |
Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
title_fullStr |
Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
title_full_unstemmed |
Optimising the K Dark Filter for the Kunlun Infrared Sky Survey |
title_sort |
optimising the k dark filter for the kunlun infrared sky survey |
publisher |
Cambridge University Press (CUP) |
publishDate |
2016 |
url |
http://dx.doi.org/10.1017/pasa.2016.5 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S1323358016000059 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Publications of the Astronomical Society of Australia volume 33 ISSN 1323-3580 1448-6083 |
op_rights |
https://www.cambridge.org/core/terms |
op_doi |
https://doi.org/10.1017/pasa.2016.5 |
container_title |
Publications of the Astronomical Society of Australia |
container_volume |
33 |
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1792506721922449408 |