Data

Parkes observations for project P1153 semester 2022APRS_07

Commonwealth Scientific and Industrial Research Organisation
Caleb, Manisha ; Stappers, Benjamin ; Barr, Ewan ; Jankowski, Fabian ; Malenta, Mateusz ; Rajwade, Kaustubh ; Driessen, Laura ; Bezuidenhout, Mechiel Christiaan ; Morello, Vincent ; Surnis, Mayuresh ; Kramer, Michael
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/ra2a-a306&rft.title=Parkes observations for project P1153 semester 2022APRS_07&rft.identifier=10.25919/ra2a-a306&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=The ThunderKAT and MeerTRAP teams at the MeerKAT radio telescope have discovered a slow, pulsating radio source in the image and time domain data. We estimate a best fit period P = 75.88 s and period derivative Pdot = 2.9 x 10^-13 s/s. The source is seen to lie in the P-Pdot pulsar parameter phase space death valley where radio emission from neutron stars is not expected according to models in the literature. Single pulse analysis of MeerKAT data in the L- and UHF-bands reveals remarkable and unusual spectro-temporal properties, quite unlike anything seen in known radio neutron stars, with some pulses showing quasi-periodic sub-pulse components. We request 9 hours in the April 2022 semester to utilise the excellent ultra wide-band sensitivity of Parkes to study the pulse shape evolution and spectro-tempo-polarimetric properties of the source, probe the broadband nature and evolution of the sub-pulse components, and investigate any radius-to-frequency mapping, allowing us to characterise and/or distinguish it from other types of known neutron stars.&rft.creator=Caleb, Manisha &rft.creator=Stappers, Benjamin &rft.creator=Barr, Ewan &rft.creator=Jankowski, Fabian &rft.creator=Malenta, Mateusz &rft.creator=Rajwade, Kaustubh &rft.creator=Driessen, Laura &rft.creator=Bezuidenhout, Mechiel Christiaan &rft.creator=Morello, Vincent &rft.creator=Surnis, Mayuresh &rft.creator=Kramer, Michael &rft.date=2022&rft.edition=v1&rft_rights=All Rights (including copyright) CSIRO 2022.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=pulsars, neutron stars, transients&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

Licence & Rights:

Open Licence view details
CC-BY

Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/

All Rights (including copyright) CSIRO 2022.

Access:

Open view details

Data is accessible online and may be reused in accordance with licence conditions

Brief description

The ThunderKAT and MeerTRAP teams at the MeerKAT radio telescope have discovered a slow, pulsating radio source in the image and time domain data. We estimate a best fit period P = 75.88 s and period derivative Pdot = 2.9 x 10^-13 s/s. The source is seen to lie in the P-Pdot pulsar parameter phase space "death valley" where radio emission from neutron stars is not expected according to models in the literature. Single pulse analysis of MeerKAT data in the L- and UHF-bands reveals remarkable and unusual spectro-temporal properties, quite unlike anything seen in known radio neutron stars, with some pulses showing quasi-periodic sub-pulse components. We request 9 hours in the April 2022 semester to utilise the excellent ultra wide-band sensitivity of Parkes to study the pulse shape evolution and spectro-tempo-polarimetric properties of the source, probe the broadband nature and evolution of the sub-pulse components, and investigate any radius-to-frequency mapping, allowing us to characterise and/or distinguish it from other types of known neutron stars.

Data time period: 2022-04-01 to 2022-09-30

Click to explore relationships graph
Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers