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WP2‐040.030.010‐TD‐001<br />

Revision : 1<br />

beams can be traded against observing time, as it will simply take longer to go through the list.<br />

However, that is only possible up to a point where other observations or sufficient sampling is not<br />

possible anymore. We consider 50 beams at the lowest possible limit but recommend more to<br />

reduce the impact on other science areas.<br />

We note that it is at the beamforming stage where it will be crucial that information about the<br />

quality of the station data, either through station calibration, or checks done once the data arrive a<br />

central <strong>processing</strong> facility, to determine that the data from all the station are providing data of<br />

sufficient quality. <strong>The</strong> exact algorithm for determining this quality and how to adjust data when<br />

stations drop in or out will need to be developed especially if changes are occurring on relatively<br />

short timescales, that is shorter than a typical observation duration.<br />

11.9 Processing the Beams<br />

When all of the beams (one per pulsar to be timed) have been formed it is necessary to perform a<br />

number of steps which are common to all of them. <strong>The</strong>se include to coherently de‐dispersing the<br />

data (thereby also forming all Stokes parameters), interference rejection, polarisation calibration<br />

and folding.<br />

11.9.1 (Coherent) De‐dispersion:<br />

To correct for the dispersive delay due to the interstellar medium requires that the frequency<br />

dependent phase shift of the <strong>signal</strong> applied by the ISM is unwrapped again in a process known as<br />

coherent de‐dispersion (e.g. Lorimer & Kramer 2005). This process requires complex channelized<br />

data for each beam. In contrast to search observations, the dispersion measure for pulsars to be<br />

timed is known and the result of the discovery process. Improvements to the dispersion measure<br />

precision will be obtained in an off‐line analysis process.<br />

This process includes the Fourier‐Transform of the complex data into the frequency domain, this<br />

process may not be necessary if the data are already delivered as complex channelized data. <strong>The</strong><br />

data is then multiplied with the inverse ISM filter function plus tapering and the re‐transformation<br />

into the time domain.<br />

2011‐03‐29 Page 59 of 59

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