Optimising the K dark filter for the Kunlun Infrared Sky Survey
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 un...
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ftdatacite:10.48550/arxiv.1602.04512 2023-05-15T13:51:05+02:00 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 https://dx.doi.org/10.48550/arxiv.1602.04512 https://arxiv.org/abs/1602.04512 unknown arXiv https://dx.doi.org/10.1017/pasa.2016.5 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Instrumentation and Methods for Astrophysics astro-ph.IM FOS Physical sciences article-journal Article ScholarlyArticle Text 2016 ftdatacite https://doi.org/10.48550/arxiv.1602.04512 https://doi.org/10.1017/pasa.2016.5 2022-04-01T11:34:15Z 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. : to appear in PASA Text Antarc* Antarctic DataCite Metadata Store (German National Library of Science and Technology) Antarctic Pasa ENVELOPE(26.733,26.733,67.850,67.850) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
unknown |
topic |
Instrumentation and Methods for Astrophysics astro-ph.IM FOS Physical sciences |
spellingShingle |
Instrumentation and Methods for Astrophysics astro-ph.IM FOS Physical sciences 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 |
Instrumentation and Methods for Astrophysics astro-ph.IM FOS Physical sciences |
description |
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. : to appear in PASA |
format |
Text |
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 |
arXiv |
publishDate |
2016 |
url |
https://dx.doi.org/10.48550/arxiv.1602.04512 https://arxiv.org/abs/1602.04512 |
long_lat |
ENVELOPE(26.733,26.733,67.850,67.850) |
geographic |
Antarctic Pasa |
geographic_facet |
Antarctic Pasa |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_relation |
https://dx.doi.org/10.1017/pasa.2016.5 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1602.04512 https://doi.org/10.1017/pasa.2016.5 |
_version_ |
1766254670947287040 |