“…In addition, the precision can also be improved if some larger facilities can be used, for example, the Five-hundred-meter Aperture Spherical radio Telescope (FAST). FAST has just complete its initial commissioning [21] and first studies on pulsars have also been made by using it [22][23][24][25][26]. Moreover, in general, the clock precision scales as ∼ N 1/2 psr , with N psr the number of pulsar observed.…”
In this paper, we investigate the statistical signal-processing algorithm to measure the instant local clock jump from the timing data of multiple pulsars. Our algorithm is based on the framework of Bayesian statistics. In order to make the Bayesian algorithm applicable with limited computational resources, we dedicated our efforts to the analytic marginalization of irrelevant parameters. We found that the widely used parameter for pulsar timing systematics, the 'Efac' parameter, can be analytically marginalized. This reduces the Gaussian likelihood to a function very similar to the Student's t-distribution. Our iterative method to solve the maximum likelihood estimator is also explained in the paper. Using pulsar timing data from the Yunnan Kunming 40m radio telescope, we demonstrate the application of the method, where 80-ns level precision for the clock jump can be achieved. Such a precision is comparable to that of current commercial time transferring service using satellites. We expect that the current method could help developing the autonomous pulsar time scale. pulsars, time series analysis, clocks and frequency standards PACS number(s): 97.60.Gb, 05.45.Tp, 95.55.Sh
“…In addition, the precision can also be improved if some larger facilities can be used, for example, the Five-hundred-meter Aperture Spherical radio Telescope (FAST). FAST has just complete its initial commissioning [21] and first studies on pulsars have also been made by using it [22][23][24][25][26]. Moreover, in general, the clock precision scales as ∼ N 1/2 psr , with N psr the number of pulsar observed.…”
In this paper, we investigate the statistical signal-processing algorithm to measure the instant local clock jump from the timing data of multiple pulsars. Our algorithm is based on the framework of Bayesian statistics. In order to make the Bayesian algorithm applicable with limited computational resources, we dedicated our efforts to the analytic marginalization of irrelevant parameters. We found that the widely used parameter for pulsar timing systematics, the 'Efac' parameter, can be analytically marginalized. This reduces the Gaussian likelihood to a function very similar to the Student's t-distribution. Our iterative method to solve the maximum likelihood estimator is also explained in the paper. Using pulsar timing data from the Yunnan Kunming 40m radio telescope, we demonstrate the application of the method, where 80-ns level precision for the clock jump can be achieved. Such a precision is comparable to that of current commercial time transferring service using satellites. We expect that the current method could help developing the autonomous pulsar time scale. pulsars, time series analysis, clocks and frequency standards PACS number(s): 97.60.Gb, 05.45.Tp, 95.55.Sh
“…The radiation mechanism of pulsars has been studied by analyzing the structure of single pulses. 9 , 10 The scintillation of interstellar plasma has also been studied using pulsar observations, 11 and characteristic scintillation arcs have been detected ( Figure 3 ). Figure 2 The Sketch and the Timing Results of M92A and M13E (A) A cartoon to show the binary system M92A.…”
FAST has found more than 240 pulsars, including pulsars in binary systems-FAST has made great progress in the study of fast radio bursts-The FAST team will call for proposals from the whole world in 2021
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