activity
20192026
most citedSearches for Shapiro delay in seven binary pulsars using the MeerKAT telescope

26 citations · 152 across the 18 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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★ 19 cited

The MPIfR-MeerKAT Galactic Plane Survey II. The eccentric double neutron star system PSR J1208-5936 and a neutron star merger rate update

M. Colom i Bernadich, V. Balakrishnan, E. Barr +16

The MMGPS-L is the most sensitive pulsar survey in the Southern Hemisphere. We present a follow-up study of one of these new discoveries, PSR J1208-5936, a 28.71-ms recycled pulsar…

astro-ph.HE2023★ 14 cited

Mass measurements and 3D orbital geometry of PSR J19336211

M. Geyer, V. Venkatraman Krishnan, P. C. C. Freire +19

PSR J19336211 is a 3.5-ms pulsar in a 12.8-d orbit with a white dwarf (WD). Its high proper motion and low dispersion measure result in such significant interstellar scintillati…

astro-ph.HE2023

Radio timing constraints on the mass of the binary pulsar PSR J1528-3146

A. Berthereau, L. Guillemot, P. C. C. Freire +7

PSR J1528-3146 is a 60.8 ms pulsar orbiting a heavy white dwarf (WD) companion, with an orbital period of 3.18 d. This work aimed at characterizing the pulsar's astrometric, spin a…

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…