Precision Pulsar Timing with NASA's Deep Space Network
Lawrence Teitelbaum,Walid A. Majid,Manuel Franco,Daniel J. Hoppe,Shinji Horiuchi,T. Joseph W. Lazio +5 more
- Vol. 11, pp 367-369
TLDR
In this article, the authors developed a precision pulsar timing backend for the NASA Deep Space Network (DSN), which will allow the use of short gaps in tracking schedules to time pulses from an ensemble of MSPs.Abstract:
Abstract Millisecond pulsars (MSPs) are a class of radio pulsars with extremely stable rotation. Their excellent timing stability can be used to study a wide variety of astrophysical phenomena. In particular, a large sample of these pulsars can be used to detect low-frequency gravitational waves. We have developed a precision pulsar timing backend for the NASA Deep Space Network (DSN), which will allow the use of short gaps in tracking schedules to time pulses from an ensemble of MSPs. The DSN operates clusters of large dish antennas (up to 70-m in diameter), located roughly equidistant around the Earth, for communication and tracking of deep-space spacecraft. The backend system will be capable of removing entirely the dispersive effects of propagation of radio waves through the interstellar medium in real-time. We will describe our development work, initial results, and prospects for future observations over the next few years.read more
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Upper limits on the isotropic gravitational radiation background from pulsar timing analysis
R. W. Hellings,G. S. Downs +1 more
TL;DR: In this paper, an upper limit to the spectrum of the isotropic gravitational radiation background has been derived in the frequency band 4 x 10 to the -9th to 10 to -7th Hz.
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A millisecond pulsar
TL;DR: The puzzle of the radio properties of 4C21.53 may be resolved by the discovery and related observations of a fast pulsar, 1937+214, with a period of 1.558 ms in the constellation Vulpecula only a few degrees from the direction to the original pulsar.
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The pulsar spectral index distribution
TL;DR: In this paper, the authors used population synthesis techniques and a likelihood analysis to deduce what underlying spectral index distribution is required to replicate the results of these surveys, and found that in general the results can be modelled by a Gaussian distribution of spectral indices with a mean of -1.4 and unit standard deviation.
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