# Licensed under a 3-clause BSD style license - see LICENSE.rst from __future__ import absolute_import, division, print_function, unicode_literals import numpy as np from .. import units as u from ..extern.six.moves import range from .wcs import WCSSUB_LONGITUDE, WCSSUB_LATITUDE __doctest_skip__ = ['wcs_to_celestial_frame'] __all__ = ['add_stokes_axis_to_wcs', 'custom_frame_mappings', 'wcs_to_celestial_frame', 'proj_plane_pixel_scales', 'proj_plane_pixel_area', 'is_proj_plane_distorted', 'non_celestial_pixel_scales', 'skycoord_to_pixel', 'pixel_to_skycoord'] def add_stokes_axis_to_wcs(wcs, add_before_ind): """ Add a new Stokes axis that is uncorrelated with any other axes. Parameters ---------- wcs : `~astropy.wcs.WCS` The WCS to add to add_before_ind : int Index of the WCS to insert the new Stokes axis in front of. To add at the end, do add_before_ind = wcs.wcs.naxis The beginning is at position 0. Returns ------- A new `~astropy.wcs.WCS` instance with an additional axis """ inds = [i + 1 for i in range(wcs.wcs.naxis)] inds.insert(add_before_ind, 0) newwcs = wcs.sub(inds) newwcs.wcs.ctype[add_before_ind] = 'STOKES' newwcs.wcs.cname[add_before_ind] = 'STOKES' return newwcs def _wcs_to_celestial_frame_builtin(wcs): from ..coordinates import FK4, FK4NoETerms, FK5, ICRS, Galactic from ..time import Time # Keep only the celestial part of the axes wcs = wcs.sub([WCSSUB_LONGITUDE, WCSSUB_LATITUDE]) if wcs.wcs.lng == -1 or wcs.wcs.lat == -1: return None radesys = wcs.wcs.radesys if np.isnan(wcs.wcs.equinox): equinox = None else: equinox = wcs.wcs.equinox xcoord = wcs.wcs.ctype[0][:4] ycoord = wcs.wcs.ctype[1][:4] # Apply logic from FITS standard to determine the default radesys if radesys == '' and xcoord == 'RA--' and ycoord == 'DEC-': if equinox is None: radesys = "ICRS" elif equinox < 1984.: radesys = "FK4" else: radesys = "FK5" if radesys == 'FK4': if equinox is not None: equinox = Time(equinox, format='byear') frame = FK4(equinox=equinox) elif radesys == 'FK4-NO-E': if equinox is not None: equinox = Time(equinox, format='byear') frame = FK4NoETerms(equinox=equinox) elif radesys == 'FK5': if equinox is not None: equinox = Time(equinox, format='jyear') frame = FK5(equinox=equinox) elif radesys == 'ICRS': frame = ICRS() else: if xcoord == 'GLON' and ycoord == 'GLAT': frame = Galactic() else: frame = None return frame WCS_FRAME_MAPPINGS = [[_wcs_to_celestial_frame_builtin]] class custom_frame_mappings(object): def __init__(self, mappings=[]): if hasattr(mappings, '__call__'): mappings = [mappings] WCS_FRAME_MAPPINGS.append(mappings) def __enter__(self): pass def __exit__(self, type, value, tb): WCS_FRAME_MAPPINGS.pop() def wcs_to_celestial_frame(wcs): """ For a given WCS, return the coordinate frame that matches the celestial component of the WCS. Parameters ---------- wcs : :class:`~astropy.wcs.WCS` instance The WCS to find the frame for Returns ------- frame : :class:`~astropy.coordinates.baseframe.BaseCoordinateFrame` subclass instance An instance of a :class:`~astropy.coordinates.baseframe.BaseCoordinateFrame` subclass instance that best matches the specified WCS. Notes ----- To extend this function to frames not defined in astropy.coordinates, you can write your own function which should take a :class:`~astropy.wcs.WCS` instance and should return either an instance of a frame, or `None` if no matching frame was found. You can register this function temporarily with:: >>> from astropy.wcs.utils import wcs_to_celestial_frame, custom_frame_mappings >>> with custom_frame_mappings(my_function): ... wcs_to_celestial_frame(...) """ for mapping_set in WCS_FRAME_MAPPINGS: for func in mapping_set: frame = func(wcs) if frame is not None: return frame raise ValueError("Could not determine celestial frame corresponding to " "the specified WCS object") def proj_plane_pixel_scales(wcs): """ For a WCS returns pixel scales along each axis of the image pixel at the ``CRPIX`` location once it is projected onto the "plane of intermediate world coordinates" as defined in `Greisen & Calabretta 2002, A&A, 395, 1061 `_. .. note:: This function is concerned **only** about the transformation "image plane"->"projection plane" and **not** about the transformation "celestial sphere"->"projection plane"->"image plane". Therefore, this function ignores distortions arising due to non-linear nature of most projections. .. note:: In order to compute the scales corresponding to celestial axes only, make sure that the input `~astropy.wcs.WCS` object contains celestial axes only, e.g., by passing in the `~astropy.wcs.WCS.celestial` WCS object. Parameters ---------- wcs : `~astropy.wcs.WCS` A world coordinate system object. Returns ------- scale : `~numpy.ndarray` A vector (`~numpy.ndarray`) of projection plane increments corresponding to each pixel side (axis). The units of the returned results are the same as the units of `~astropy.wcs.Wcsprm.cdelt`, `~astropy.wcs.Wcsprm.crval`, and `~astropy.wcs.Wcsprm.cd` for the celestial WCS and can be obtained by inquiring the value of `~astropy.wcs.Wcsprm.cunit` property of the input `~astropy.wcs.WCS` WCS object. See Also -------- astropy.wcs.utils.proj_plane_pixel_area """ return np.sqrt((wcs.pixel_scale_matrix**2).sum(axis=0, dtype=np.float)) def proj_plane_pixel_area(wcs): """ For a **celestial** WCS (see `astropy.wcs.WCS.celestial`) returns pixel area of the image pixel at the ``CRPIX`` location once it is projected onto the "plane of intermediate world coordinates" as defined in `Greisen & Calabretta 2002, A&A, 395, 1061 `_. .. note:: This function is concerned **only** about the transformation "image plane"->"projection plane" and **not** about the transformation "celestial sphere"->"projection plane"->"image plane". Therefore, this function ignores distortions arising due to non-linear nature of most projections. .. note:: In order to compute the area of pixels corresponding to celestial axes only, this function uses the `~astropy.wcs.WCS.celestial` WCS object of the input ``wcs``. This is different from the `~astropy.wcs.utils.proj_plane_pixel_scales` function that computes the scales for the axes of the input WCS itself. Parameters ---------- wcs : `~astropy.wcs.WCS` A world coordinate system object. Returns ------- area : float Area (in the projection plane) of the pixel at ``CRPIX`` location. The units of the returned result are the same as the units of the `~astropy.wcs.Wcsprm.cdelt`, `~astropy.wcs.Wcsprm.crval`, and `~astropy.wcs.Wcsprm.cd` for the celestial WCS and can be obtained by inquiring the value of `~astropy.wcs.Wcsprm.cunit` property of the `~astropy.wcs.WCS.celestial` WCS object. Raises ------ ValueError Pixel area is defined only for 2D pixels. Most likely the `~astropy.wcs.Wcsprm.cd` matrix of the `~astropy.wcs.WCS.celestial` WCS is not a square matrix of second order. Notes ----- Depending on the application, square root of the pixel area can be used to represent a single pixel scale of an equivalent square pixel whose area is equal to the area of a generally non-square pixel. See Also -------- astropy.wcs.utils.proj_plane_pixel_scales """ psm = wcs.celestial.pixel_scale_matrix if psm.shape != (2, 2): raise ValueError("Pixel area is defined only for 2D pixels.") return np.abs(np.linalg.det(psm)) def is_proj_plane_distorted(wcs, maxerr=1.0e-5): r""" For a WCS returns `False` if square image (detector) pixels stay square when projected onto the "plane of intermediate world coordinates" as defined in `Greisen & Calabretta 2002, A&A, 395, 1061 `_. It will return `True` if transformation from image (detector) coordinates to the focal plane coordinates is non-orthogonal or if WCS contains non-linear (e.g., SIP) distortions. .. note:: Since this function is concerned **only** about the transformation "image plane"->"focal plane" and **not** about the transformation "celestial sphere"->"focal plane"->"image plane", this function ignores distortions arising due to non-linear nature of most projections. Let's denote by *C* either the original or the reconstructed (from ``PC`` and ``CDELT``) CD matrix. `is_proj_plane_distorted` verifies that the transformation from image (detector) coordinates to the focal plane coordinates is orthogonal using the following check: .. math:: \left \| \frac{C \cdot C^{\mathrm{T}}} {| det(C)|} - I \right \|_{\mathrm{max}} < \epsilon . Parameters ---------- wcs : `~astropy.wcs.WCS` World coordinate system object maxerr : float, optional Accuracy to which the CD matrix, **normalized** such that :math:`|det(CD)|=1`, should be close to being an orthogonal matrix as described in the above equation (see :math:`\epsilon`). Returns ------- distorted : bool Returns `True` if focal (projection) plane is distorted and `False` otherwise. """ cwcs = wcs.celestial return (not _is_cd_orthogonal(cwcs.pixel_scale_matrix, maxerr) or _has_distortion(cwcs)) def _is_cd_orthogonal(cd, maxerr): shape = cd.shape if not (len(shape) == 2 and shape[0] == shape[1]): raise ValueError("CD (or PC) matrix must be a 2D square matrix.") pixarea = np.abs(np.linalg.det(cd)) if (pixarea == 0.0): raise ValueError("CD (or PC) matrix is singular.") # NOTE: Technically, below we should use np.dot(cd, np.conjugate(cd.T)) # However, I am not aware of complex CD/PC matrices... I = np.dot(cd, cd.T) / pixarea cd_unitary_err = np.amax(np.abs(I - np.eye(shape[0]))) return (cd_unitary_err < maxerr) def non_celestial_pixel_scales(inwcs): """ Calculate the pixel scale along each axis of a non-celestial WCS, for example one with mixed spectral and spatial axes. Parameters ---------- inwcs : `~astropy.wcs.WCS` The world coordinate system object. Returns ------- scale : `numpy.ndarray` The pixel scale along each axis. """ if inwcs.is_celestial: raise ValueError("WCS is celestial, use celestial_pixel_scales instead") pccd = inwcs.pixel_scale_matrix if np.allclose(np.extract(1-np.eye(*pccd.shape), pccd), 0): return np.abs(np.diagonal(pccd))*u.deg else: raise ValueError("WCS is rotated, cannot determine consistent pixel scales") def _has_distortion(wcs): """ `True` if contains any SIP or image distortion components. """ return any(getattr(wcs, dist_attr) is not None for dist_attr in ['cpdis1', 'cpdis2', 'det2im1', 'det2im2', 'sip']) # TODO: in future, we should think about how the following two functions can be # integrated better into the WCS class. def skycoord_to_pixel(coords, wcs, origin=0, mode='all'): """ Convert a set of SkyCoord coordinates into pixels. Parameters ---------- coords : `~astropy.coordinates.SkyCoord` The coordinates to convert. wcs : `~astropy.wcs.WCS` The WCS transformation to use. origin : int Whether to return 0 or 1-based pixel coordinates. mode : 'all' or 'wcs' Whether to do the transformation including distortions (``'all'``) or only including only the core WCS transformation (``'wcs'``). Returns ------- xp, yp : `numpy.ndarray` The pixel coordinates See Also -------- astropy.coordinates.SkyCoord.from_pixel """ from .. import units as u from . import WCSSUB_CELESTIAL if _has_distortion(wcs) and wcs.naxis != 2: raise ValueError("Can only handle WCS with distortions for 2-dimensional WCS") # Keep only the celestial part of the axes, also re-orders lon/lat wcs = wcs.sub([WCSSUB_LONGITUDE, WCSSUB_LATITUDE]) if wcs.naxis != 2: raise ValueError("WCS should contain celestial component") # Check which frame the WCS uses frame = wcs_to_celestial_frame(wcs) # Check what unit the WCS needs xw_unit = u.Unit(wcs.wcs.cunit[0]) yw_unit = u.Unit(wcs.wcs.cunit[1]) # Convert positions to frame coords = coords.transform_to(frame) # Extract longitude and latitude. We first try and use lon/lat directly, # but if the representation is not spherical or unit spherical this will # fail. We should then force the use of the unit spherical # representation. We don't do that directly to make sure that we preserve # custom lon/lat representations if available. try: lon = coords.data.lon.to(xw_unit) lat = coords.data.lat.to(yw_unit) except AttributeError: lon = coords.spherical.lon.to(xw_unit) lat = coords.spherical.lat.to(yw_unit) # Convert to pixel coordinates if mode == 'all': xp, yp = wcs.all_world2pix(lon.value, lat.value, origin) elif mode == 'wcs': xp, yp = wcs.wcs_world2pix(lon.value, lat.value, origin) else: raise ValueError("mode should be either 'all' or 'wcs'") return xp, yp def pixel_to_skycoord(xp, yp, wcs, origin=0, mode='all', cls=None): """ Convert a set of pixel coordinates into a `~astropy.coordinates.SkyCoord` coordinate. Parameters ---------- xp, yp : float or `numpy.ndarray` The coordinates to convert. wcs : `~astropy.wcs.WCS` The WCS transformation to use. origin : int Whether to return 0 or 1-based pixel coordinates. mode : 'all' or 'wcs' Whether to do the transformation including distortions (``'all'``) or only including only the core WCS transformation (``'wcs'``). cls : class or None The class of object to create. Should be a `~astropy.coordinates.SkyCoord` subclass. If None, defaults to `~astropy.coordinates.SkyCoord`. Returns ------- coords : Whatever ``cls`` is (a subclass of `~astropy.coordinates.SkyCoord`) The celestial coordinates See Also -------- astropy.coordinates.SkyCoord.from_pixel """ from .. import units as u from . import WCSSUB_CELESTIAL from ..coordinates import SkyCoord, UnitSphericalRepresentation # we have to do this instead of actually setting the default to SkyCoord # because importing SkyCoord at the module-level leads to circular # dependencies. if cls is None: cls = SkyCoord if _has_distortion(wcs) and wcs.naxis != 2: raise ValueError("Can only handle WCS with distortions for 2-dimensional WCS") # Keep only the celestial part of the axes, also re-orders lon/lat wcs = wcs.sub([WCSSUB_LONGITUDE, WCSSUB_LATITUDE]) if wcs.naxis != 2: raise ValueError("WCS should contain celestial component") # Check which frame the WCS uses frame = wcs_to_celestial_frame(wcs) # Check what unit the WCS gives lon_unit = u.Unit(wcs.wcs.cunit[0]) lat_unit = u.Unit(wcs.wcs.cunit[1]) # Convert pixel coordinates to celestial coordinates if mode == 'all': lon, lat = wcs.all_pix2world(xp, yp, origin) elif mode == 'wcs': lon, lat = wcs.wcs_pix2world(xp, yp, origin) else: raise ValueError("mode should be either 'all' or 'wcs'") # Add units to longitude/latitude lon = lon * lon_unit lat = lat * lat_unit # Create a SkyCoord-like object data = UnitSphericalRepresentation(lon=lon, lat=lat) coords = cls(frame.realize_frame(data)) return coords