diff options
Diffstat (limited to 'fg21sim/sky.py')
| -rw-r--r-- | fg21sim/sky.py | 110 |
1 files changed, 102 insertions, 8 deletions
diff --git a/fg21sim/sky.py b/fg21sim/sky.py index dbf445e..08ca0df 100644 --- a/fg21sim/sky.py +++ b/fg21sim/sky.py @@ -14,11 +14,12 @@ import numpy as np from scipy import ndimage from astropy.io import fits import astropy.units as au -from astropy.wcs import WCS from astropy.coordinates import SkyCoord from regions import PixCoord, RectanglePixelRegion +from reproject import reproject_interp, reproject_to_healpix import healpy as hp +from .utils.wcs import make_wcs from .utils.fits import read_fits_healpix, write_fits_healpix @@ -173,13 +174,10 @@ class SkyPatch: -------- Currently only support the `TAN` (tangential) projection. """ - w = WCS(naxis=2) - w.wcs.ctype = ["RA---TAN", "DEC--TAN"] - w.wcs.crval = np.array([self.xcenter, self.ycenter]) - w.wcs.crpix = np.array([self.xsize/2.0-0.5, self.ysize/2.0-0.5]) - w.wcs.cdelt = np.array([-self.pixelsize/60.0, self.pixelsize/60.0]) - w.wcs.cunit = ["deg", "deg"] - w.wcs.equinox = 2000.0 + w = make_wcs(center=(self.xcenter, self.ycenter), + size=(self.xsize, self.ysize), + pixelsize=self.pixelsize, + frame="ICRS", projection="TAN") return w def contains(self, skycoord): @@ -209,6 +207,50 @@ class SkyPatch: width=self.xsize, height=self.ysize) return region.contains(pixcoord) + def reproject_from(self, data, wcs, squeeze=False): + """ + Reproject the given image/data together with WCS information + onto the grid of this sky. + + Parameters + ---------- + data : 2D float `~numpy.ndarray` + The input data/image to be reprojected + wcs : `~astropy.wcs.WCS` + The WCS information of the input data/image (naxis=2) + squeeze : bool, optional + Whether to squeeze the reprojected data to only keep + the positive pixels. + + Returns + ------- + If ``squeeze=True``, then returns tuple of ``(indexes, values)``, + otherwise, returns the reprojected image/data array. + + indexes : 1D int `~numpy.ndarray` + The indexes of the pixels with positive values. + values : 1D float `~numpy.ndarray` + The values of the above pixels. + + reprojected : 1D `~numpy.ndarray` + The reprojected data/image with same shape of this sky, + i.e., ``self.data``. + """ + eps = 1e-5 + wcs_out = self.wcs + shape_out = (self.ysize, self.xsize) + reprojected, __ = reproject_interp( + input_data=(data, wcs), output_projection=wcs_out, + shape_out=shape_out) + reprojected = reprojected.flatten() + if squeeze: + with np.errstate(invalid="ignore"): + indexes = reprojected > eps + values = reprojected[indexes] + return (indexes, values) + else: + return reprojected + class SkyHealpix: """ @@ -305,6 +347,58 @@ class SkyHealpix: clobber=clobber, checksum=checksum) logger.info("Write sky map to file: %s" % outfile) + def contains(self, skycoord): + """ + Shim method to be consistent with ``SkyPatch``. + + Always returns ``True``, since the HEALPix map covers all sky. + """ + if skycoord.isscalar: + return True + else: + return np.ones(shape=len(skycoord), dtype=np.bool) + + def reproject_from(self, data, wcs, squeeze=False): + """ + Reproject the given image/data together with WCS information + onto the grid of this sky. + + Parameters + ---------- + data : 2D float `~numpy.ndarray` + The input data/image to be reprojected + wcs : `~astropy.wcs.WCS` + The WCS information of the input data/image (naxis=2) + squeeze : bool, optional + Whether to squeeze the reprojected data to only keep + the positive pixels. + + Returns + ------- + If ``squeeze=True``, then returns tuple of ``(indexes, values)``, + otherwise, returns the reprojected image/data array. + + indexes : 1D int `~numpy.ndarray` + The indexes of the pixels with positive values. + values : 1D float `~numpy.ndarray` + The values of the above pixels. + + reprojected : 1D `~numpy.ndarray` + The reprojected data/image with same shape of this sky, + i.e., ``self.data.shape``. + """ + eps = 1e-5 + reprojected, __ = reproject_to_healpix( + input_data=(data, wcs), coord_system_out="galactic", + nested=False, nside=self.nside) + if squeeze: + with np.errstate(invalid="ignore"): + indexes = reprojected > eps + values = reprojected[indexes] + return (indexes, values) + else: + return reprojected + def get_sky(configs): """ |