Model-based asymptotically optimal dispersion measure correction for pulsar timing

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ID: 271441
2014
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Abstract
In order to reach the sensitivity required to detect gravitational waves, pulsar timing array experiments need to mitigate as much noise as possible in timing data. A dominant amount of noise is likely due to variations in the dispersion measure. To correct for such variations, we develop a statistical method inspired by the maximum likelihood estimator and optimal filtering. Our method consists of two major steps. First, the spectral index and amplitude of dispersion measure variations are measured via a time-domain spectral analysis. Second, the linear optimal filter is constructed based on the model parameters found in the first step, and is used to extract the dispersion measure variation waveforms. Compared to current existing methods, this method has better time resolution for the study of short time-scale dispersion variations, and generally produces smaller errors in waveform estimations. This method can process irregularly sampled data without any interpolation because of its time-domain nature. Furthermore, it offers the possibility to interpolate or extrapolate the waveform estimation to regions where no data are available. Examples using simulated data sets are included for demonstration.
Reference Key
lentati2014monthlymodel-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors K. J. Lee,C. G. Bassa,G. H. Janssen,R. Karuppusamy,Michael Kramer,K. Liu,Delphine Perrodin,R. Smits,B. W. Stappers,R. Van Haasteren,L. Lentati;K. J. Lee;C. G. Bassa;G. H. Janssen;R. Karuppusamy;Michael Kramer;K. Liu;Delphine Perrodin;R. Smits;B. W. Stappers;R. Van Haasteren;L. Lentati;
Journal monthly notices of the royal astronomical society
Year 2014
DOI
10.1093/mnras/stu664
URL
https://sciprofiles.com/publication/view/e4d93721524104386469d556ad0e442a
Keywords
model noise filter interpolation optimal step pulsar waveform dispersion measure

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