Parkes observations for project P892 semester 2017OCTS_BPSR_47

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Keane, Evan;Possenti, Andrea;Green, James;Johnston, Simon;Kramer, Michael;Burgay, Marta;Bailes, Matthew;Bhat, Ramesh;Burke-Spolaor, Sarah;Eatough, Ralph;van Straten, Willem;Stappers, Benjamin;Levin, Lina;Jameson, Andrew;Ng, Cherry;Tiburzi, Caterina;Petroff, Emily;Barr, Ewan;Flynn, Chris;Jankowski, Fabian;Caleb, Manisha;Morello, Vincent;Bhandari, Shivani;Venkatraman Krishnan, Vivek

Description

SUPERBx is an extension to the SUPERB survey which looks at the highest Galactic latitudes in a search for fast radio bursts (FRBs). We will focus our efforts at high Galactic latitudes where our previous work has shown FRB detectability to be as much as 3 times higher than in the plane. SUPERBx uses optimised GPU codes to search for pulsars and fast radio bursts (FRBs), making discoveries in real time. Handling our data as it comes in is essential for the SKA Phase I era so this work applies directly to the high-data rates of next generation telescopes. The FRBs discovered (we have already discovered five FRBs in this project) will have much more associated information than all previous detections. Firstly our discovery lag is ~1 second, rather than months/years. The Parkes observations will be shadowed by other radio telescopes (in particular the refurbished Molonglo which has now reached a level of performance where it has independently discovered 3 FRBs) to allow localisation of the discovered FRBs, and a host of optical and high-energy telescopes will then be triggered as appropriate. This is key for identifying FRB host galaxies, so as to solve the mystery of their progenitors and to exploit their many uses as tools for precision cosmology measurements.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

CSIRO

Assigned Domain

Subfield

Astronomy and Astrophysics

Field

Physics and Astronomy

Domain

Physical Sciences

Confidence Score

39%

Source

Scholar Data Model

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00