2019
DOI: 10.3847/1538-3881/ab09f5
|View full text |Cite
|
Sign up to set email alerts
|

The Localization of the Single Pulse in VLBI Observation

Abstract: In our previous work, we propose a cross spectrum based method to extract single pulse signals from RFI contaminated data, which is originated from geodetic VLBI postprocessing. This method fully utilizes fringe phase information of the cross spectrum and hence maximizes the signal power. However, the localization has not been discussed in that work yet. As the continuation of that work, in this paper, we further study how to localize single pulses using astrometric solving method. Assuming that the burst is a… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
7
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
2
2

Relationship

3
1

Authors

Journals

citations
Cited by 4 publications
(7 citation statements)
references
References 43 publications
0
7
0
Order By: Relevance
“…The detailed introduction to the VOLKS2 pipeline has been given in Liu et al (2018aLiu et al ( , 2019. Significant improvements have been made since the first release of the pipeline.…”
Section: The Volks2 Pipelinementioning
confidence: 99%
See 4 more Smart Citations
“…The detailed introduction to the VOLKS2 pipeline has been given in Liu et al (2018aLiu et al ( , 2019. Significant improvements have been made since the first release of the pipeline.…”
Section: The Volks2 Pipelinementioning
confidence: 99%
“…However, such kind of method carries out single pulse search in every snapshot, which is time consuming. As pointed out by Liu et al (2019), by assuming the single pulse is a point source, it is possible to derive the single pulse position given the relation between the residual delay and the offset to a priori position. To improve the localization result, the single pulse fringe of each baseline must be calibrated.…”
Section: Localizationmentioning
confidence: 99%
See 3 more Smart Citations