torrance

/****************************/
/* Slide 6: Docker          */
/****************************/
Check you are a member of the docker Group

id
groups

Find the container name you want to use: 
docker ps -a

torrance

#include <beam2016implementation.h>
#include <complex>
#include <math.h>

extern "C" {
    Beam2016Implementation* beam_new(double* delays, double* amps, char* path) {
        return new Beam2016Implementation(delays, amps, path);
    }

    void beam_del(Beam2016Implementation* beam) {

torrance

#! /usr/bin/python
from __future__ import division, print_function

from astropy.cosmology import Planck15
import astropy.units as units
import matplotlib.pyplot as plt
import numpy as np

redshift_slices = [0.01, 0.02, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3]
volumes = []

torrance

#! /usr/bin/env python
from __future__ import print_function, division

import argparse

from astropy.cosmology import Planck15
import astropy.units as units
import matplotlib.pyplot as plt
import numpy as np

torrance

#! /bin/bash
#SBATCH -M zeus
#SBATCH --cpus-per-task 24
#SBATCH --mem 120G
#SBATCH -t 24:00:00
#SBATCH --nodes 1
#SBATCH --partition workq
#SBATCH --account pawsey0286
#SBATCh --export=ABSMEM

torrance

#!/usr/bin/env python

import os
import sys
import numpy as np
from casacore.tables import *
from askap.footprint import Skypos

if len(sys.argv) != 2:
    sys.exit("Usage %s <ms_file>" %(sys.argv[0]))

torrance

#! /usr/bin/env python
from __future__ import print_function, division

import argparse
import os.path

from astropy.io import fits
from numba import njit, float64, prange
import numpy as np

torrance

#! /usr/bin/env python
from __future__ import print_function, division

import glob

from astropy.cosmology import Planck15
import astropy.units as units
import matplotlib.pyplot as plt
import numpy as np

torrance

#! /usr/bin/env python
from __future__ import print_function, division

import glob

from astropy.cosmology import Planck15
import astropy.units as units
import numpy as np

torrance

    for source in ghosts:
        if source in close_sources:
            continue

        xmin, xmax, ymin, ymax = source.bounds()

        # Enlarge the bounding box just slightly
        xwidth = xmax - xmin
        if xwidth > 300:
            xmin -= (xwidth * 1.2 - xwidth) / 2