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L. deSouza

Researcher at University of Sydney

Publications -  18
Citations -  2000

L. deSouza is an academic researcher from University of Sydney. The author has contributed to research in topics: Murchison Widefield Array & Point spread function. The author has an hindex of 15, co-authored 18 publications receiving 1928 citations. Previous affiliations of L. deSouza include Commonwealth Scientific and Industrial Research Organisation.

Papers
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Science with the Murchison Widefield Array

Judd D. Bowman, +60 more
TL;DR: The Murchison Widefield Array (MWA) as discussed by the authors is the first telescope in the southern hemisphere designed specifically to explore the low-frequency astronomical sky between 80 and 300 MHz with arcminute angular resolution and high survey efficiency.
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A study of fundamental limitations to statistical detection of redshifted H I from the epoch of reionization

Nithyanandan Thyagarajan, +61 more
TL;DR: In this paper, the authors explore the relative magnitudes of three fundamental sources of uncertainty, namely, foreground contamination, thermal noise, and sample variance, in detecting the H I power spectrum from the epoch of reionization (EoR).
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Fast holographic deconvolution: a new technique for precision radio interferometry

TL;DR: Fast Holographic Deconvolution as mentioned in this paper is an extension of A-projection/software-holography/forward modeling analysis techniques and shares their precision deconvolution and wide field polarimetry, while being significantly faster than current implementations that use full direction-dependent antenna gains.
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A 189 MHz, 2400 deg2 Polarization Survey with the Murchison Widefield Array 32-element Prototype

TL;DR: In this paper, a Stokes I, Q and U survey at 189 MHz with the Murchison Widefield Array 32 element prototype covering 2400 degrees 2 was presented, where the authors demonstrate a novel interferometric data analysis that involves calibration of drift scan data, integration through the co-addition of warped snapshot images, and deconvolution of the point-spread function through forward modeling.