Radio Transients: An antediluvian review

(2011)

Authors:

RP Fender, ME Bell

The scientific potential of LOFAR for time-domain astronomy

(2011)

Detecting cold gas at z = 3 with the Atacama large millimeter/submillimeter array and the square kilometer array

Astrophysical Journal 743:1 (2011)

Authors:

D Obreschkow, I Heywood, S Rawlings

Abstract:

We forecast the abilities of the Atacama Large Millimeter/submillimeter Array (ALMA) and the Square Kilometer Array (SKA) to detect CO and H I emission lines in galaxies at redshift z = 3. A particular focus is set on Milky Way (MW) progenitors at z = 3 since their detection within 24hr constitutes a key science goal of ALMA. The analysis relies on a semi-analytic model, which permits the construction of an MW progenitor sample by backtracking the cosmic history of all simulated present-day galaxies similar to the real MW. Results are as follows: (1) ALMA can best observe an MW at z = 3 by looking at CO(3-2) emission. The probability of detecting a random model MW at 3σ in 24hr using 75 km s-1channels is roughly 50%, and these odds can be increased by co-adding the CO(3-2) and CO(4-3) lines. These lines fall into ALMA band 3, which therefore represents the optimal choice toward MW detections at z = 3. (2) Higher CO transitions contained in the ALMA bands ≥6 will be invisible, unless the considered MW progenitor coincidentally hosts a major starburst or an active black hole. (3) The high-frequency array of SKA, fitted with 28.8GHz receivers, would be a powerful instrument for observing CO(1-0) at z = 3, able to detect nearly all simulated MWs in 24hr. (4) H I detections in MWs at z = 3 using the low-frequency array of SKA will be impossible in any reasonable observing time. (5) SKA will nonetheless be a supreme H I survey instrument through its enormous instantaneous field of view (FoV). A one-year pointed H I survey with an assumed FoV of 410 deg2 would reveal at least 105 galaxies at z = 2.95-3.05. (6) If the positions and redshifts of those galaxies are known from an optical/infrared spectroscopic survey, stacking allows the detection of H I at z = 3 in less than 24hr. © 2011. The American Astronomical Society. All rights reserved.

LOFAR and APERTIF Surveys of the Radio Sky: Probing Shocks and Magnetic Fields in Galaxy Clusters

Journal of Astrophysics and Astronomy 32 (2011) 557-566-557-566

Authors:

H Röttgering, J Afonso, P Barthel, F Batejat, P Best, A Bonafede, M Brüggen, G Brunetti, K Chy zy, J Conway, FD Gasperin, C Ferrari, M Haverkorn, G Heald, M Hoeft, N Jackson, M Jarvis, L Ker, M Lehnert, G Macario, J McKean, G Miley, R Morganti, T Oosterloo, E Orrù, R Pizzo, D Rafferty, A Shulevski, C Tasse, IV Bemmel, B van der Tol, R van Weeren, M Verheijen, G White, M Wise

A GPU-based survey for millisecond radio transients using ARTEMIS

ArXiv 1111.6399 (2011)

Authors:

W Armour, A Karastergiou, M Giles, C Williams, A Magro, K Zagkouris, S Roberts, S Salvini, F Dulwich, B Mort

Abstract:

Astrophysical radio transients are excellent probes of extreme physical processes originating from compact sources within our Galaxy and beyond. Radio frequency signals emitted from these objects provide a means to study the intervening medium through which they travel. Next generation radio telescopes are designed to explore the vast unexplored parameter space of high time resolution astronomy, but require High Performance Computing (HPC) solutions to process the enormous volumes of data that are produced by these telescopes. We have developed a combined software /hardware solution (code named ARTEMIS) for real-time searches for millisecond radio transients, which uses GPU technology to remove interstellar dispersion and detect millisecond radio bursts from astronomical sources in real-time. Here we present an introduction to ARTEMIS. We give a brief overview of the software pipeline, then focus specifically on the intricacies of performing incoherent de-dispersion. We present results from two brute-force algorithms. The first is a GPU based algorithm, designed to exploit the L1 cache of the NVIDIA Fermi GPU. Our second algorithm is CPU based and exploits the new AVX units in Intel Sandy Bridge CPUs.