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arXiv · 1709.06099

MeerKLASS: MeerKAT Large Area Synoptic Survey

Abstract

We discuss the ground-breaking science that will be possible with a wide area survey, using the MeerKAT telescope, known as MeerKLASS (MeerKAT Large Area Synoptic Survey). The current specifications of MeerKAT make it a great fit for science applications that require large survey speeds but not necessarily high angular resolutions. In particular, for cosmology, a large survey over $\sim 4,000 \, {\rm deg}^2$ for $\sim 4,000$ hours will potentially provide the first ever measurements of the baryon acoustic oscillations using the 21cm intensity mapping technique, with enough accuracy to impose constraints on the nature of dark energy. The combination with multi-wavelength data will give unique additional information, such as exquisite constraints on primordial non-Gaussianity using the multi-tracer technique, as well as a better handle on foregrounds and systematics. Such a wide survey with MeerKAT is also a great match for HI galaxy studies, providing unrivalled statistics in the pre-SKA era for galaxies resolved in the HI emission line beyond local structures at z > 0.01. It will also produce a large continuum galaxy sample down to a depth of about 5\,$\mu$Jy in L-band, which is quite unique over such large areas and will allow studies of the large-scale structure of the Universe out to high redshifts, complementing the galaxy HI survey to form a transformational multi-wavelength approach to study galaxy dynamics and evolution. Finally, the same survey will supply unique information for a range of other science applications, including a large statistical investigation of galaxy clusters as well as produce a rotation measure map across a huge swathe of the sky. The MeerKLASS survey will be a crucial step on the road to using SKA1-MID for cosmological applications and other commensal surveys, as described in the top priority SKA key science projects (abridged).

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BibTeXRIS

Mario G. Santos, Michelle Cluver, Matt Hilton, Matt Jarvis, Gyula I. G. Jozsa, Lerothodi Leeuw, Oleg Smirnov, Russ Taylor, Filipe Abdalla, Jose Afonso, David Alonso, David Bacon, Bruce A. Bassett, Gianni Bernardi, Philip Bull, Stefano Camera, H. Cynthia Chiang, Sergio Colafrancesco, Pedro G. Ferreira, Jose Fonseca, Kurt van der Heyden, Ian Heywood, Kenda Knowles, Michelle Lochner, Yin-Zhe Ma, Roy Maartens, Sphesihle Makhathini, Kavilan Moodley, Alkistis Pourtsidou, Matthew Prescott, Jonathan Sievers, Kristine Spekkens, Mattia Vaccari, Amanda Weltman, Imogen Whittam, Amadeus Witzemann, Laura Wolz, Jonathan T. L. Zwart. 2017-09-18. MeerKLASS: MeerKAT Large Area Synoptic Survey. https://arxiv.org/abs/1709.06099

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