Data

Parkes observations for project P855 semester 2014OCTS

Commonwealth Scientific and Industrial Research Organisation
Shannon, Ryan ; Hobbs, George ; Ravi, Vikram
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/5cab9c07802f1&rft.title=Parkes observations for project P855 semester 2014OCTS&rft.identifier=10.25919/5cab9c07802f1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=We propose to search for cosmological fast radio transients and intermittent pulsars during windstows and maintenance. Fast radio transients are millisecond bursts of radio emission coming from cosmological distances, of which five are currently known. New discoveries made in our searches will enable better characterisation of this unexpected population of objects. We will also search for intermittent pulsars, which have duty cycles of 0.1 to 0.2 and time scales of weeks to months that were likely missed in previous surveys.&rft.creator=Shannon, Ryan &rft.creator=Hobbs, George &rft.creator=Ravi, Vikram &rft.date=2019&rft.edition=v3&rft_rights=All Rights (including copyright) CSIRO 2015.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=pulsars, neutron stars&rft_subject=Astronomical and Space Sciences not elsewhere classified&rft_subject=PHYSICAL SCIENCES&rft_subject=ASTRONOMICAL AND SPACE SCIENCES&rft.type=dataset&rft.language=English Access the data

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All Rights (including copyright) CSIRO 2015.

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Brief description

We propose to search for cosmological fast radio transients and intermittent pulsars during windstows and maintenance. Fast radio transients are millisecond bursts of radio emission coming from cosmological distances, of which five are currently known. New discoveries made in our searches will enable better characterisation of this unexpected population of objects. We will also search for intermittent pulsars, which have duty cycles of 0.1 to 0.2 and time scales of weeks to months that were likely missed in previous surveys.

Data time period: 2014-10-01 to 2020-03-31

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