Sunmish

#! /usr/bin/env python

from argparse import ArgumentParser
import os

import numpy as np

from astropy.io import fits
from astropy.table import Table, vstack
from astropy.coordinates import SkyCoord

Sunmish

#! /usr/bin/env python

from argparse import ArgumentParser

import numpy as np
from astropy.io import fits
from scipy import ndimage

import logging
logging.basicConfig(format="%(levelname)s (%(module)s): %(message)s")

Sunmish

#! /usr/bin/env python

from astropy.io import fits
import numpy as np

from argparse import ArgumentParser

def get_args():
    ps = ArgumentParser("Create a full Stokes cube from individual Stokes images.")
    ps.add_argument("i_image", help="Stokes I image. Must be 2-dimensional (i.e. not existing Stokes or frequency axis.")

Sunmish

#! /usr/bin/env python


"""
Python implementation of the diffuse image filtering technique described by Rudnick (2002):
https://ui.adsabs.harvard.edu/abs/2002NewAR..46..101R/abstract
"""

from argparse import ArgumentParser

Sunmish

#! /usr/bin/env python

import os
from argparse import ArgumentParser
import numpy as np
from astropy.coordinates import SkyCoord, EarthLocation, AltAz, FK5
from astropy import units as u
from astropy.io import fits
from astropy.time import Time
from subprocess import Popen

Sunmish

#! /usr/bin/env python

# extra comment

import argparse

import numpy as np

from scipy import ndimage  # For lobe finding in the primary beam images
from scipy.spatial import distance

Sunmish

#! /usr/bin/env python 

from __future__ import print_function, division

import numpy as np
from subprocess import Popen
import os
import shutil

Sunmish

#! /usr/bin/env python

import os

import numpy as np

from astropy.io import fits
from astropy.wcs import WCS
from astropy.visualization import ZScaleInterval, AsymmetricPercentileInterval, simple_norm
from astropy.wcs.utils import proj_plane_pixel_scales