2014
DOI: 10.1093/mnras/stu1420
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Measuring pulse times of arrival from broad-band pulsar observations

Abstract: In recent years, instrumentation enabling pulsar observations with unprecedentedly high fractional bandwidth has been under development which can be used to substantially improve the precision of pulsar timing experiments. The traditional templatematching method used to calculate pulse times-of-arrival (ToAs), may not function effectively on these broadband data due to a variety of effects such as diffractive scintillation in the interstellar medium, profile variation as a function of frequency, dispersion mea… Show more

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Cited by 78 publications
(72 citation statements)
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“…This is a reasonable assumption given recent work on wide-band template matching (Pennucci et al 2014;Liu et al 2014). In fact, by using these new wide-band TOA determination algorithms it is possible to simultaneously account for profile evolution, DM variations, scattering, and scintillation while summarising wide-band observations into a single TOA.…”
Section: Pta Monitoring Of Msps At High Frequenciesmentioning
confidence: 95%
“…This is a reasonable assumption given recent work on wide-band template matching (Pennucci et al 2014;Liu et al 2014). In fact, by using these new wide-band TOA determination algorithms it is possible to simultaneously account for profile evolution, DM variations, scattering, and scintillation while summarising wide-band observations into a single TOA.…”
Section: Pta Monitoring Of Msps At High Frequenciesmentioning
confidence: 95%
“…Each telescope also has a history of regularly improving instrumentation, and thus TOAs obtained at later times are often of a much higher quality than those from earlier times. This trend is helpful for timing precision, but a wider bandwidth may require a more complicated frequency-dependent pulse profile model, due to frequency-dependent pulse shapes (Liu et al 2014;Pennucci et al 2014). Differences among PTAs include the number of standard observing frequencies and the methods for modeling DM variations.…”
Section: Introductionmentioning
confidence: 99%
“…In Pennucci, Demorest & Ransom (2014) and Liu et al (2014) the DM is estimated in this way in order to obtain ToA estimates that are not biased by dedispersing with an incorrect DM. The degree of improvement in modeling the DM coherently across the entire data set will naturally depend upon the bandwidth and the S/N of that data set.…”
Section: Data Setmentioning
confidence: 99%
“…In both Pennucci, Demorest & Ransom (2014) and Liu et al (2014) twodimensional extensions to the standard ToA forming process are introduced that fit for the DM at each observational epoch when estimating the ToA, and include profile evolution in the template. Fitting for both the ToA and the DM in this way, however, introduces a significant number of potentially unneeded free parameters.…”
Section: Introductionmentioning
confidence: 99%