TY - JOUR
T1 - SPARKESX
T2 - Single-dish PARKES data sets for finding the uneXpected – a data challenge
AU - Yong, Suk Yee
AU - Hobbs, George
AU - Huynh, Minh T.
AU - Rolland, Vivien
AU - Petersson, Lars
AU - Norris, Ray P.
AU - Dai, Shi
AU - Luo, Rui
AU - Zic, Andrew
PY - 2022/11/1
Y1 - 2022/11/1
N2 - New classes of astronomical objects are often discovered serendipitously. The enormous data volumes produced by recent high-time resolution, radio-telescope surveys imply that efficient algorithms are required for a discovery. Such algorithms are usually tuned to detect specific, known sources. Existing data sets therefore likely contain unknown astronomical sources, which will remain undetected unless algorithms are developed that can detect a more diverse range of signals. We present the Single-dish PARKES data sets for finding the uneXpected (SPARKESX), a compilation of real and simulated high-time resolution observations. SPARKESX comprises three mock surveys from the Parkes ‘Murriyang’ radio telescope. A broad selection of simulated and injected expected signals (such as pulsars and fast radio bursts), poorly characterized signals (plausible flare star signatures), and ‘unknown unknowns’ are generated for each survey. The goal of this challenge is to aid in the development of new algorithms that can detect a wide range of source types. We show how successful a typical pipeline based on the standard pulsar search software, PRESTO, is at finding the injected signals.
AB - New classes of astronomical objects are often discovered serendipitously. The enormous data volumes produced by recent high-time resolution, radio-telescope surveys imply that efficient algorithms are required for a discovery. Such algorithms are usually tuned to detect specific, known sources. Existing data sets therefore likely contain unknown astronomical sources, which will remain undetected unless algorithms are developed that can detect a more diverse range of signals. We present the Single-dish PARKES data sets for finding the uneXpected (SPARKESX), a compilation of real and simulated high-time resolution observations. SPARKESX comprises three mock surveys from the Parkes ‘Murriyang’ radio telescope. A broad selection of simulated and injected expected signals (such as pulsars and fast radio bursts), poorly characterized signals (plausible flare star signatures), and ‘unknown unknowns’ are generated for each survey. The goal of this challenge is to aid in the development of new algorithms that can detect a wide range of source types. We show how successful a typical pipeline based on the standard pulsar search software, PRESTO, is at finding the injected signals.
KW - astronomical data bases: catalogues
KW - general: extraterrestrial intelligence
KW - methods: data analysis
KW - software: simulations
KW - transients: fast radio bursts
UR - http://www.scopus.com/inward/record.url?scp=85146434429&partnerID=8YFLogxK
U2 - 10.1093/mnras/stac2558
DO - 10.1093/mnras/stac2558
M3 - Article
AN - SCOPUS:85146434429
SN - 0035-8711
VL - 516
SP - 5832
EP - 5848
JO - Monthly Notices of the Royal Astronomical Society
JF - Monthly Notices of the Royal Astronomical Society
IS - 4
ER -