2015
DOI: 10.1139/cjp-2014-0339
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Theoretical estimates of integrated Sachs–Wolfe effect detection through the Australian Square Kilometre Array Pathfinder’s Evolutionary Map of the Universe (ASKAP- EMU) survey, with confusion, position uncertainty, shot noise, and signal-to-noise ratio analysis

Abstract: Detection of the late time integrated Sachs-Wolfe effect (ISW) is an active area of study related to Large Scale Structures (LSS).The ISW effect can be studied by observing the nonzero cross-correlation between cosmic microwave background (CMB) anisotropies with tracers of mass field, such as galaxy survey data. We plan to study this effect by crosscorrelating the CMB data and related cosmological parameters as delineated by the Wilkinson microwave anisotropy probe (WMAP) with the upcoming evolutionary map of … Show more

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Cited by 3 publications
(23 citation statements)
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“…As a northern sky survey, with similar sensitivity as of EMU-ASKAP and coverage of >+30 degrees declination coverage, Westerbork Observations of the Deep APERTIF Northern sky (WODAN) will be well suited to complement the full EMU-ASKAP survey ([9], [21]). WODAN is going to cover about 25% (1π steradians) of the sky on the northern hemisphere ( [9], [21]). It will have an expected resolution of about 15 arcseconds.…”
Section: Wodanmentioning
confidence: 99%
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“…As a northern sky survey, with similar sensitivity as of EMU-ASKAP and coverage of >+30 degrees declination coverage, Westerbork Observations of the Deep APERTIF Northern sky (WODAN) will be well suited to complement the full EMU-ASKAP survey ([9], [21]). WODAN is going to cover about 25% (1π steradians) of the sky on the northern hemisphere ( [9], [21]). It will have an expected resolution of about 15 arcseconds.…”
Section: Wodanmentioning
confidence: 99%
“…In order to calculate the rms confusion limit, we can fit the power law curve for the differential source count of the continuum survey ([1], [2], [3], [4], [5], [6], [8], [9], [40], [41], and [42]). We can obtain the differential source count power law probability distribution ([9], [42]) in −1 −1 as:…”
Section: Science Full Emu-askap and Wodanmentioning
confidence: 99%
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