Automated cross-identifying radio to infrared surveys using the LRPY algorithm: a case study
Cross-identifying complex radio sources with optical or infra red (IR) counterparts in surveys such as the Australia Telescope Large Area Survey (ATLAS) has traditionally been performed manually. However, with new surveys from the Australian Square Kilometre Array Pathfinder detecting many tens of millions of radio sources, such an approach is no longer feasible. This paper presents new software (LRPY -Likelihood Ratio in PYTHON) to automate the process of cross-identifying radio sources with...[Show more]
|Collections||ANU Research Publications|
|Source:||Monthly Notices of the Royal Astronomical Society|
|Access Rights:||Open Access|
|01_Weston_Automated_cross-identifying_2018.pdf||7.26 MB||Adobe PDF|
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