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Nick Swainston's Projects

askap_localisation icon askap_localisation

My copy of Pravir Kumar's implimentation of the beam localisation method described in https://ui.adsabs.harvard.edu/abs/2017ApJ...841L..12B/abstract

dspsr_docker icon dspsr_docker

Made a docker image of DSPSR. Based on https://github.com/ewanbarr/dspsr-docker but removed unessisary cuda and ssh packages

family_archive icon family_archive

Django website with two main purposes: 1) To be a blog to post updates that the entire family can see. 2) To archive the family history

fetch icon fetch

A set of deep learning models for FRB/RFI binary classification.

lotaas_pulsar_ml_docker icon lotaas_pulsar_ml_docker

A Dockerfile that makes and image of LOFAR's PulsarFeatureLab, the LOTAAS Classifier and a script I wrote to sort them nicely. This is used in my pulsar search pipeline mwa_search

meerguard icon meerguard

MeerTime copy of coast_guard: Stripped for RFI excision and modified for zapping of wide-bandwidth data with a frequency-dependent template

mwa_search icon mwa_search

The blindsearch scripts used for searching for pulsars with the MWA VCS on Galaxy and Ozstar supercomputers

nextflow_tutorial icon nextflow_tutorial

A few examples of Nextflow scripts I used in a Nextflow tutorial aimed at astronomers

presto icon presto

Open source pulsar search and analysis toolkit

presto_container icon presto_container

The Dockerfile I created for PRESTO and a few srcipts I use for pulsar searching searching

psrpoppy icon psrpoppy

Python implementation of PSRPOP, designed to be run from the command line or from Python scripts/interpreter

psrqpy icon psrqpy

A python module to query the ATNF pulsar catalogue

pulsar_spectra icon pulsar_spectra

A simple interface to record pulsar's flux density measurements for a large number of papers and perform fitting of spectral models.

pulsar_vm icon pulsar_vm

Scripts for creating virtual machines for pulsar software

pulseportraiture icon pulseportraiture

PulsePortraiture (PP): a wideband pulsar timing code written in python. It uses an extension of Joe Taylor's FFTFIT algorithm (Taylor 1992) to simultaneously measure a phase (TOA) and dispersion measure (DM). PSRCHIVE, lmfit, and the latest vertsions of numpy and scipy are required.

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