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Jamie Stevens

dblp:71/2699 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
radio astronomy
0.112009
The Murchison Widefield Array: Design Overview · Proc. IEEE 2009

Methods — techniques the papers use, named apart from their topics

self-calibration algorithms · 0.2
YearPublicationVenuePosition
2009 The Murchison Widefield Array: Design Overview
abstract
The Murchison Widefield Array is a dipole-based aperture array synthesis telescope designed to operate in the 80-300 MHz frequency range. It is capable of a wide range of science investigations but is initially focused on three key science projects: detection and characterization of three-dimensional brightness temperature fluctuations in the 21 cm line of neutral hydrogen during the epoch of reionization (EoR) at redshifts from six to ten; solar imaging and remote sensing of the inner heliosphere via propagation effects on signals from distant background sources; and high-sensitivity exploration of the variable radio sky. The array design features 8192 dual-polarization broadband active dipoles, arranged into 512 ldquotilesrdquo comprising 16 dipoles each. The tiles are quasi-randomly distributed over an aperture 1.5 km in diameter, with a small number of outliers extending to 3 km. All tile-tile baselines are correlated in custom field-programmable gate array based hardware, yielding a Nyquist-sampled instantaneous monochromaticuvcoverage and unprecedented point spread function quality. The correlated data are calibrated in real time using novel position-dependent self-calibration algorithms. The array is located in the Murchison region of outback Western Australia. This region is characterized by extremely low population density and a superbly radio-quiet environment, allowing full exploitation of the instrumental capabilities.
Colin J. Lonsdale, Roger J. Cappallo, Miguel F. Morales, Frank H. Briggs, Leonid Benkevitch, Judd Bowman, John D. Bunton, Steven Burns 0002, Brian E. Corey, Ludi deSouza, Shep Doeleman, Mark Derome, Avinash A. Deshpande, Modavanatt Ramakrishna Gopala, Lincoln J. Greenhill, David Edwin Herne, Jacqueline N. Hewitt, P. A. Kamini, Justin C. Kasper, Barton B. Kincaid, Jonathan Kocz, Errol Kowald, Eric Kratzenberg, Deepak Kumar 0012, Mervyn J. Lynch, S. Madhavi, Michael Matejek, Daniel A. Mitchell, Edward H. Morgan, Divya Oberoi, Steven M. Ord, Joseph Pathikulangara, Thiagaraj Prabu, Alan E. E. Rogers, Anish A. Roshi, Joseph E. Salah, Robert J. Sault, Udaya Shankar Natarajan, K. S. Srivani, Jamie Stevens, Steven J. Tingay, Annino Vaccarella, Mark F. Waterson, Randall B. Wayth, Rachel Lindsey Webster, Alan R. Whitney, Andrew J. Williams, Christopher L. Williams
Proc. IEEE40
2004 Computational aspects of host-parasite phylogenies
abstract
Computational aspects of host-parasite phylogenies form part of a set of general associations between areas and organisms, hosts and parasites, and species and genes. The problem is not new and the commonalities of exploring vicariance biogeography (organisms tracking areas) and host-parasite co-speciation (parasites tracking hosts) have been recognised for some time. Methods for comparing host-parasite phylogenies are now well established and fall within two basic categories defined in terms of the way the data are interpreted in relation to the comparison of host-parasite phylogenies, so-called a posteriori, eg Brooks' Parsimony Analysis (BPA), or a priori, eg reconciled trees and other model-based methods, as implemented in the program TreeMap; the relative merits of the two philosophies inherent in these two approaches remain hotly debated. This paper reviews the computational methods currently available to analyse host-parasite relationships.
Jamie Stevens
Briefings Bioinform.1