RRI Banner

Application of `CLEAN' in the power spectral analysis of non-uniformly sampled pulsar timing data

dc.contributor.authorDeshpande, A A
dc.contributor.authorD'Alessandro, F
dc.contributor.authorMcCulloch, P M
dc.date.accessioned2006-01-02T04:50:22Z
dc.date.available2006-01-02T04:50:22Z
dc.date.issued1996
dc.description.abstractSpectral analysis of the residual pulse-arrival times of pulsars is a useful tool in understanding the nature of the underlying processes that may be responsible for the timing noise observed from pulsars. Power spectra of pulsar timing residuals may be described by one or a combination of power-laws. As these spectra are expected to be very steep, it is important to ensure a high dynamic range in the estimation of the spectrum. This is difficult in practice since one is, in general, dealing with timing measurements made at unevenly placed epochs. In this paper, we present a technique based on 'CLEAN' to obtain high dynamic range spectra from unevenly sampled data. We compare the performance of this technique with other techniques including some that were used earlier for estimation of power spectra of pulsar timing residuals.en
dc.format.extent1412042 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of Astrophysics and Astronomy, 1996, Vol. 17, p7-16.en
dc.identifier.issn0250-6335
dc.identifier.urihttp://hdl.handle.net/2289/1021
dc.language.isoenen
dc.publisherIndian Academy of Sciences, Bangalore, India.en
dc.rightsIndian Academy of Sciences, Bangalore, India.en
dc.subjectPulsars: timing noise - power spectraen
dc.subjectData processing: CLEAN algorithmen
dc.titleApplication of `CLEAN' in the power spectral analysis of non-uniformly sampled pulsar timing dataen
dc.typeArticleen

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1996_JAA_V17_p7-16.pdf
Size:
1.35 MB
Format:
Adobe Portable Document Format
Description:
Open Access

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description: