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

doi:10.1017/pasa.2016.5

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

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.

Original language	English
Article number	e008
Pages (from-to)	1-9
Number of pages	9
Journal	Publications of the Astronomical Society of Australia
Volume	33
DOIs	https://doi.org/10.1017/pasa.2016.5
Publication status	Published - 2016
Externally published	Yes

Keywords

infrared: general
stars: protostars
supernovae: general
surveys
techniques: photometric

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10.1017/pasa.2016.5

Cite this

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title = "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 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 {\textquoteleft}K DARK{\textquoteright} 2.4 μm window, filter performance can be tuned and best-case designs are given covering a range of conditions.",

keywords = "infrared: general, stars: protostars, supernovae: general, surveys, techniques: photometric",

author = "Yushan Li and Jessica Zheng and Peter Tuthill and Matthew Freeman and Michael Ashley and Michael Burton and Jon Lawrence and Jeremy Mould and Lifan Wang",

year = "2016",

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T1 - Optimising the K Dark filter for the Kunlun Infrared Sky Survey

AU - Li, Yushan

AU - Zheng, Jessica

AU - Tuthill, Peter

AU - Freeman, Matthew

AU - Ashley, Michael

AU - Burton, Michael

AU - Lawrence, Jon

AU - Mould, Jeremy

AU - Wang, Lifan

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - infrared: general

KW - stars: protostars

KW - supernovae: general

KW - surveys

KW - techniques: photometric

UR - http://www.scopus.com/inward/record.url?scp=84960386865&partnerID=8YFLogxK

UR - http://purl.org/au-research/grants/arc/LE150100024

U2 - 10.1017/pasa.2016.5

DO - 10.1017/pasa.2016.5

M3 - Article

AN - SCOPUS:84960386865

SN - 1323-3580

VL - 33

SP - 1

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JO - Publications of the Astronomical Society of Australia

JF - Publications of the Astronomical Society of Australia

M1 - e008

ER -

Optimising the K Dark filter for the Kunlun Infrared Sky Survey

Abstract

Keywords

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The Mopra Radio Telescope (ARC Linkage Infrastructure, Equipment and Facilities grant)

Cite this

Optimising the K Dark filter for the Kunlun Infrared Sky Survey

Abstract

Keywords

Access to Document

Other files and links

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Projects

The Mopra Radio Telescope (ARC Linkage Infrastructure, Equipment and Facilities grant)

Cite this