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ShareScore release 0.9.0
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2 results for “giant pulse”
Crab giant pulse detected with the Dwingeloo radio telescope on 2024-07-30
<p>This is a 0.2 second recording of a giant pulse of the Crab Pulsar, recorded with the Dwingeloo Radio Telescope. The data format is SigMF: the metadata file contains all metadata, while the data file contains raw 16-bit IQ samples. The recorded bandwidth is 400-420 MHz.</p>
PSR B1937+21 Giant Pulse Baseband Data Release
<p>This is a companion dataset to go with the publication, <strong>"Using Giant Pulses to Measure the Impulse Response of the Interstellar Medium"</strong> by <em>Mahajan and van Kerkwijk, (2023). </em><a href="https://arxiv.org/abs/2305.13274">https://arxiv.org/abs/2305.13274</a></p> <p>The data files contain the baseband snippets PSR B1937+21 giant pulses found using the giant pulse search technique described in the paper.</p> <p><strong>Requirements</strong><br> To load and work with the data files, you will need the Python package: <a href="https://github.com/theXYZT/pulsarbat">pulsarbat v0.0.9</a><br> We have provided an <em>environment.yml</em> that can be used to conveniently create a conda environment to work with the data.</p> <p><strong>Usage</strong><br> An example script is provided (<em>script.py</em>) which shows how to load the data in Python.</p> <p><strong>Data Format</strong><br> The data files are zipped in <em>B1937GPs.zip</em>. The giant pulse data was serialized using Python's <em>pickle</em> library. Each file contains<br> a list of <em>pulsarbat.DualPolarizationSignal</em> objects from the <em>pulsarbat </em>package.</p> <p>There are 38 data files with names: <em>B1937GPs/B1937GPs_{MJD}_{freq}.pb</em></p> <ul> <li><em>MJD </em>refers to the date of the observation</li> <li><em>freq </em>refers to the center frequency of the band in MHz.</li> </ul> <p>There were two observations at MJD 58245 and MJD 58298, and data from 19 contiguous frequency bands is provided (thus, a total of 38 files). The md5 checksums for all files is provided in <em>md5_checksums.txt</em>.</p>
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