A method to enhance the cross correlation of millisecond-pulsar VLBI data - Observations of PSR 1937 + 214

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Astrometry, Pulsars, Very Long Base Interferometry, Astronomical Coordinates, Celestial Mechanics, Cross Correlation, Signal To Noise Ratios

Scientific paper

A technique for the cross correlation of millisecond-pulsar VLBI data based on dedispersion over 2 MHz and on fast gating of the pulsating signal is applied to three minutes of data from 1.66 GHz VLBI observations of the millisecond pulsar PSR 1937 + 214. It is shown that the signal-to-noise ratio (SNR) is significantly enhanced. It is also shown that it is possible to measure the arrival time of the pulse with an accuracy of a few microseconds with a few minutes of data by moving a narrow correlation window to maximize the SNR. An implementation of this technique (hardware or supercomputer) opens up the prospective of determining milliarcsecond VLBI positions of millisecond pulsars by phase reference VLBI observations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A method to enhance the cross correlation of millisecond-pulsar VLBI data - Observations of PSR 1937 + 214 does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A method to enhance the cross correlation of millisecond-pulsar VLBI data - Observations of PSR 1937 + 214, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A method to enhance the cross correlation of millisecond-pulsar VLBI data - Observations of PSR 1937 + 214 will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-778959

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.