Search Results for author: V. Morello

Found 6 papers, 5 papers with code

Real-time triggering capabilities for Fast Radio Bursts at the MeerKAT telescope

no code implementations9 Dec 2020 F. Jankowski, M. Berezina, B. W. Stappers, E. D. Barr, M. C. Bezuidenhout, M. Caleb, L. N. Driessen, M. Malenta, V. Morello, K. M. Rajwade, S. Sanidas, M. P. Surnis

Rapid data processing is essential for us to be able to retain high-resolution data of the bursts, to localise them, and to minimise the delay for follow-up observations.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

Optimal periodicity searching: Revisiting the Fast Folding Algorithm for large-scale pulsar surveys

2 code implementations7 Apr 2020 V. Morello, E. D. Barr, B. W. Stappers, E. F. Keane, A. G. Lyne

Here we derive from first principles that an FFA search closely approaches the theoretical optimum sensitivity to all periodic signals; it is analytically shown to be significantly more sensitive than the standard FFT+IHS method, regardless of pulse period and duty cycle.

Instrumentation and Methods for Astrophysics

The High Time Resolution Universe survey XIV: Discovery of 23 pulsars through GPU-accelerated reprocessing

1 code implementation12 Nov 2018 V. Morello, E. D. Barr, S. Cooper, M. Bailes, S. Bates, N. D. R. Bhat, M. Burgay, S. Burke-Spolaor, A. D. Cameron, D. J. Champion, R. P. Eatough, C. M. L. Flynn, A. Jameson, S. Johnston, M. J. Keith, E. F. Keane, M. Kramer, L. Levin, C. Ng, E. Petroff, A. Possenti, B. W. Stappers, W. van Straten, C. Tiburzi

We have also introduced an outlier detection algorithm for efficient radio-frequency interference (RFI) mitigation on folded data, a new approach that enabled the discovery of pulsars previously masked by RFI.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

The SUrvey for Pulsars and Extragalactic Radio Bursts I: Survey Description and Overview

1 code implementation14 Jun 2017 E. F. Keane, E. D. Barr, A. Jameson, V. Morello, M. Caleb, S. Bhandari, E. Petroff, A. Possenti, M. Burgay, C. Tiburzi, M. Bailes, N. D. R. Bhat, S. Burke-Spolaor, R. P. Eatough, C. Flynn, F. Jankowski, S. Johnston, M. Kramer, L. Levin, C. Ng, W. van Straten, V. Venkatraman Krishnan

We report on the observational setup, data analysis, multi-wavelength/messenger connections, survey sensitivities to pulsars and fast radio bursts and the impact of radio frequency interference.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

SPINN: a straightforward machine learning solution to the pulsar candidate selection problem

1 code implementation13 Jun 2014 V. Morello, E. D. Barr, M. Bailes, C. M. Flynn, E. F. Keane, W. van Straten

We describe SPINN (Straightforward Pulsar Identification using Neural Networks), a high-performance machine learning solution developed to process increasingly large data outputs from pulsar surveys.

Instrumentation and Methods for Astrophysics

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