simulateSearch – A package for simulating high time-resolution data in radio astronomy
Dr Rui Luo1
1CSIRO Astronomy and Space Science, Marsfield, Australia
Historically, most of spectacular astronomical discoveries turned out to be serendipities. Different from the past, emerging mega facilities challenge us on how to find the unknown unknowns with the data-intensive issues. There have been a variety of algorithms designed for anomaly detections. To investigate which algorithm is capable for doing this job, the prerequisite is to obtain the relevant data which is flexible for parameter setting.
Here I present a useful package for simulating high time-resolution radio data sets. In this talk, I will start from the basic observing system of a mock radio telescope, including pointing, receiver, backend. In particular, different situations of radio frequency interference and noise level settings are considered. Later on, I will show that the code has been demonstrated to be able to simulate most of known signals, such as, pulsar single pulses and fast radio bursts. In addition, most importantly, I will talk about the capability of using this code to inject any possible unknown signals to the real data, which is essential to algorithm tests, aiming at finding the unknowns in the data-intensive science.
Rui Luo received Ph.D. degree in astrophysics at Peking University in 2019, before he joined CSIRO-ATNF as a postdoc. His research interests are mainly focused on time-domain radio astronomy, including fast radio bursts, pulsars, radio frequency interference and possible unknown unknowns in the data-intensive science.