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# This file was automatically generated by SWIG (http://www.swig.org). # Version 2.0.4 # # Do not make changes to this file unless you know what you are doing--modify # the SWIG interface file instead.
from sys import version_info if version_info >= (2,6,0): def swig_import_helper(): from os.path import dirname import imp fp = None try: fp, pathname, description = imp.find_module('_imagertask', [dirname(__file__)]) except ImportError: import _imagertask return _imagertask if fp is not None: try: _mod = imp.load_module('_imagertask', fp, pathname, description) finally: fp.close() return _mod _imagertask = swig_import_helper() del swig_import_helper else: import _imagertask del version_info try: _swig_property = property except NameError: pass # Python < 2.2 doesn't have 'property'. def _swig_setattr_nondynamic(self,class_type,name,value,static=1): if (name == "thisown"): return self.this.own(value) if (name == "this"): if type(value).__name__ == 'SwigPyObject': self.__dict__[name] = value return method = class_type.__swig_setmethods__.get(name,None) if method: return method(self,value) if (not static): self.__dict__[name] = value else: raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value): return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name): if (name == "thisown"): return self.this.own() method = class_type.__swig_getmethods__.get(name,None) if method: return method(self) raise AttributeError(name)
def _swig_repr(self): try: strthis = "proxy of " + self.this.__repr__() except: strthis = "" return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try: _object = object _newclass = 1 except AttributeError: class _object : pass _newclass = 0
class imagertask(_object): """Proxy of C++ casac::imagertask class""" __swig_setmethods__ = {} __setattr__ = lambda self, name, value: _swig_setattr(self, imagertask, name, value) __swig_getmethods__ = {} __getattr__ = lambda self, name: _swig_getattr(self, imagertask, name) __repr__ = _swig_repr def __init__(self): """__init__(self) -> imagertask""" this = _imagertask.new_imagertask() try: self.this.append(this) except: self.this = this __swig_destroy__ = _imagertask.delete_imagertask __del__ = lambda self : None; def clean(self, *args, **kwargs): """ clean(self, vis = string("Unknown"), alg = string("clark"), niter = 1000, gain = 0.1, threshold = 0.0, residual = std::vector< string >(1, ""), image = std::vector< string >(1, ""), model = std::vector< string >(1, ""), mask = std::vector< string >(1, ""), mode = string(""), nchan = initialize_vector(1, (int)1), start = initialize_vector(1, (int)1), width = initialize_vector(1, (int)1), step = initialize_vector(1, (int)1), imsize = initialize_vector(2,(int)128, (int)128), cell = initialize_vector(2,(int)1, (int)1), stokes = string("I"), fieldid = initialize_vector(1, (int)1), spwid = initialize_vector(1, (int)1), weighting = string("uniform"), rmode = string("none"), robust = 0.0)
Summary Perform clean operations
Description Form images from visibilities. Handles continuum and spectral line cubes.
Input Parameters: vis name of input visibility file (MS) Unknown alg Algorithm to use (clark, hogbom, csclean, csfast). Default is clark. clark niter Number of iterations. Default=1000. 1000 gain The minor iteration loop gain. Default is 0.1. 0.1 threshold Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0 residual name of residual image. Default is model name concatenated with '.residual'. residual image name of restored image. Default is model name concatenated with '.restored'. restored model name of model image. No value. mask name of mask image. No value. mode Type of processing (channel or velocity) nchan With mode, this defines the number of channels for mapping of visibilities to image channels 1 start With mode, this defines the starting channel for mapping of visibilities to image channels 1 width With mode, this defines the width of channels for mapping of visibilities to image channels 1 step With mode, this defines the step of channels for mapping of visibilities to image channels 1 imsize The size of the output image (pixels). 128 128 cell The image cell size (arcseconds). 1 1 stokes Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I fieldid Field IDs to include. Default is 1. Allows a vector of available field ids. 1 spwid Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 weighting Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform rmode Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none robust Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0
Example:
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""" return _imagertask.imagertask_clean(self, *args, **kwargs)
def feather(self, *args, **kwargs): """ feather(self, vis = string(""), featherimage = string(""), highres = string(""), lowres = string(""), lowpsf = string(""))
Summary Perform feather operation
Description Feather an interferometer and single dish image in the Fourier plane
Input Parameters: vis name of input visibility file (MS) featherimage name of output image highres name of high resolution (interferometer) image lowres name of low resolution (single dish) image lowpsf image of the single dish beam
Example:
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""" return _imagertask.imagertask_feather(self, *args, **kwargs)
def invert(self, *args, **kwargs): """ invert(self, vis = string(""), map = string(""), beam = string(""), mode = string(""), nchan = initialize_vector(1, (int)1), start = initialize_vector(1, (int)1), width = initialize_vector(1, (int)1), step = initialize_vector(1, (int)1), imsize = initialize_vector(2,(int)128, (int)128), cell = initialize_vector(2,(int)1, (int)1), stokes = string("I"), fieldid = initialize_vector(1, (int)1), spwid = initialize_vector(1, (int)1), weighting = string("uniform"), rmode = string("none"), robust = 0.0)
Summary Perform invert operation
Description Form images from visibilities. Handles continuum and spectral line
Input Parameters: vis name of input visibility file (MS) map name of output dirty map (image) beam name of output beam file (image) mode Type of processing (channel or velocity) nchan With mode, this defines the number of channels for mapping of visibilities to image channels 1 start With mode, this defines the starting channel for mapping of visibilities to image channels 1 width With mode, this defines the width of channels for mapping of visibilities to image channels 1 step With mode, this defines the step of channels for mapping of visibilities to image channels 1 imsize The size of the output image (pixels). 128 128 cell The image cell size (arcseconds). 1 1 stokes Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I fieldid Field IDs to include. Default is 1. Allows a vector of available field ids. 1 spwid Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 weighting Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform rmode Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none robust Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0
Example:
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""" return _imagertask.imagertask_invert(self, *args, **kwargs)
def mosaic(self, *args, **kwargs): """ mosaic(self, vis = string(""), alg = string("mfclark"), niter = 1000, gain = 0.1, threshold = 0.0, residual = std::vector< string >(1, ""), image = std::vector< string >(1, ""), model = std::vector< string >(1, ""), mask = std::vector< string >(1, ""), mode = string(""), gridfn = string("SF"), grid = string("mosaic"), nchan = initialize_vector(1, (int)1), start = initialize_vector(1, (int)1), width = initialize_vector(1, (int)1), step = initialize_vector(1, (int)1), imsize = initialize_vector(2,(int)128, (int)128), cell = initialize_vector(2,(int)1, (int)1), stokes = string("I"), fieldid = initialize_vector(1, (int)1), reffieldid = 1, spwid = initialize_vector(1, (int)1), weighting = string("uniform"), mosweight = string("T"), rmode = string("none"), robust = 0.0, minpb = 0.1, scaletype = string("NONE"), stoplargenegatives = -1, cyclefactor = 1.5, cyclespeedup = 2.0)
Summary Perform mosaic operation
Description Form images from multi-field visibilities. Handles continuum and spectral line cubes.
Input Parameters: vis name of input visibility file (MS) alg Algorithm to use (mfclark,mfhogbom). Default is 'mfclark'. mfclark niter Number of iterations. Default=1000. 1000 gain The minor iteration loop gain. Default is 0.1. 0.1 threshold Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0 residual name of residual image. Default is model name concatenated with '.residual'. residual image name of restored image. Default is model name concatenated with '.restored'. restored model name of model image. No value. mask name of mask image. No value. mode Type of processing (channel or velocity) gridfn Type of gridding function (spheroidal wave, box car, primary beam SF grid Type of gridding mosaic or ft (standard interferometry) mosaic nchan With mode, this defines the number of channels for mapping of visibilities to image channels 1 start With mode, this defines the starting channel for mapping of visibilities to image channels 1 width With mode, this defines the width of channels for mapping of visibilities to image channels 1 step With mode, this defines the step of channels for mapping of visibilities to image channels 1 imsize The size of the output image (pixels). 128 128 cell The image cell size (arcseconds). 1 1 stokes Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I fieldid Field IDs to include. Default is 1. Allows a vector of available field ids. 1 reffieldid Reference Field IDs to use. Default is 1. 1 spwid Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 weighting Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform mosweight Type of weighting used for the mosaic. T means that each field will be weighted individually. T rmode Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none robust Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0 minpb Minimum PB level to use. Default is 0.1. 0.1 scaletype Image plane flux scale type ('NONE', 'SAULT'). Default is 'NONE'. NONE stoplargenegatives Stop large negatives. Default=-1. -1 cyclefactor Cycle factor. Default=1.5. 1.5 cyclespeedup Cycle speedup. Default=2. 2.0
Example:
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""" return _imagertask.imagertask_mosaic(self, *args, **kwargs)
imagertask_swigregister = _imagertask.imagertask_swigregister imagertask_swigregister(imagertask)
# This file is compatible with both classic and new-style classes.
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