activity
20202026
most citedNeutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network

220 citations · 336 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

astro-ph.HE2023

Discovery of radio eclipses from 4FGL J1646.54406: a new candidate redback pulsar binary

Andrew Zic, Ziteng Wang, Emil Lenc +9

Large widefield surveys make possible the serendipitous discovery of rare sub-classes of pulsars. One such class are "spider"-type pulsar binaries, comprised of a pulsar in a compa…

astro-ph.HE2023★ 1 cited

Discovery of a young, highly scattered pulsar PSR J1032-5804 with the Australian SKA Pathfinder

Ziteng Wang, David L. Kaplan, Rahul Sengar +7

We report the discovery of a young, highly scattered pulsar in a search for highly circularly polarized radio sources as part of the Australian Square Kilometre Array Pathfinder (A…

astro-ph.HE2023★ 12 cited

The High Time Resolution Universe Pulsar Survey -- XVIII. The reprocessing of the HTRU-S Low Lat survey around the Galactic centre using a Fast Folding Algorithm pipeline for accelerated pulsars

J. Wongphechauxsorn, D. J. Champion, M. Bailes +18

The HTRU-S Low Latitude survey data within 1of the Galactic Centre (GC) were searched for pulsars using the Fast Folding Algorithm (FFA). Unlike traditional Fast Fourier…

astro-ph.HE2023

Characterizing Pulsars Detected in the Rapid ASKAP Continuum Survey

Akash Anumarlapudi, Anna Ehlke, Megan L. Jones +16

We present the detection of 661 known pulsars observed with the Australian SKA Pathfinder (ASKAP) telescope at 888 MHz as a part of the Rapid ASKAP Continuum Survey (RACS). Detecti…

astro-ph.HE2023★ 23 cited

Discovery of 37 new pulsars through GPU-accelerated reprocessing of archival data of the Parkes Multibeam Pulsar Survey

R. Sengar, M. Bailes, V. Balakrishnan +7

We present the discovery of 37 pulsars from 20 years old archival data of the Parkes Multibeam Pulsar Survey using a new FFT-based search pipeline optimised for discovering…