Data

Parkes observations for project P1171 semester 2023APRS_13

Commonwealth Scientific and Industrial Research Organisation
Eppel, Florian ; James, Clancy ; Kadler, Matthias ; Wilms, Joern ; Shannon, Ryan ; Spitler, Laura ; Rau, Arne ; Niu, Chenhui ; Krumpe, Mirko ; Bahic, Sabina ; Cruces, Marylin
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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/tqh6-3080&rft.title=Parkes observations for project P1171 semester 2023APRS_13&rft.identifier=10.25919/tqh6-3080&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts. Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, to increase our detection chances of possibly associated X-ray emission. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve since all XMM-Newton data will become public a year after the observation.&rft.creator=Eppel, Florian &rft.creator=James, Clancy &rft.creator=Kadler, Matthias &rft.creator=Wilms, Joern &rft.creator=Shannon, Ryan &rft.creator=Spitler, Laura &rft.creator=Rau, Arne &rft.creator=Niu, Chenhui &rft.creator=Krumpe, Mirko &rft.creator=Bahic, Sabina &rft.creator=Cruces, Marylin &rft.date=2023&rft.edition=v1&rft_rights=All Rights (including copyright) CSIRO 2023.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=transients&rft_subject=Astronomical sciences not elsewhere classified&rft_subject=Astronomical sciences&rft_subject=PHYSICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Brief description

The origin of Fast Radio Bursts (FRBs) is still unclear with a plethora of theoretical models for their origin. Several models predict associated multi-wavelength emission, but previous searches for optical, X-ray or gamma-ray counterparts of FRBs have not led to any detection. The Galactic magnetar SGR 1935+2154A has been observed to simultaneously emit FRB-like bursts and X-ray flares, which suggests that also extragalactic FRB sources may exhibit X-ray counterparts.

Because of the high cost of X-ray satellites and in face of the relatively low FRB detection probability in their small field of view, coordinated radio and X-ray observations are logistically very difficult to set up. We propose a new approach using the X-ray satellite XMM-Newton and the Parkes/Murriyang radio telescope to put constraints on the theoretical models: We aim to conduct shadowing observations with the Parkes telescope to search for new FRBs in fields that are simultaneously covered by XMM-Newton. We hereby target regular XMM observations of nearby (low-z) galaxies, to increase our detection chances of possibly associated X-ray emission. In case of an FRB detection in the radio band, we will have guaranteed simultaneous X-ray coverage and will get detailed information about the associated X-ray spectrum and light curve since all XMM-Newton data will become public a year after the observation.

Data time period: 2023-04-01 to 2023-09-30

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