Astronomy is a branch of science that covers the study and analysis of all extraterrestrial
objects and their phenomena. The study brings together the aspects of mathematics …

With the upcoming commensal surveys for Fast Radio Bursts (FRBs), and their high
candidate rate, usage of machine learning algorithms for candidate classification is a …

Upcoming fast radio burst (FRB) surveys will search∼ 10 3 beams on the sky with a very
high duty cycle, generating large numbers of single-pulse candidates. The abundance of …

We evaluate the performance of four different machine learning (ML) algorithms: an Artificial
Neural Network Multi-Layer Perceptron (ANN MLP), Adaboost, Gradient Boosting Classifier …

Searches for millisecond-duration, dispersed single pulses have become a standard tool
used during radio pulsar surveys in the last decade. They have enabled the discovery of two …

The search for pulsars in a sample of pulsar candidates found based on a multi-year survey
conducted with low (six channels; sampling 0.1 s) time-frequency resolution on …

The recent exponential growth in the data volume and number of identified pulsar stars is
due to pulsar candidate search experiments and surveys. In this study, we investigated the …

We have carried out the Galactic Plane Pulsar Snapshot (GPPS) survey by using the Five-
hundred-meter Aperture Spherical radio Telescope (FAST), the most sensitive systematic …

Here, we present an in-depth study of the behaviour of the fast folding algorithm (FFA), an
alternative pulsar searching technique to the fast Fourier transform (FFT). Weaknesses in the …

As the performance of dedicated facilities has continually improved, large numbers of pulsar
candidates are being received, which makes selecting valuable pulsar signals from the …