1 files changed, 100 insertions, 0 deletions
diff --git a/fg21sim/utils/fits.py b/fg21sim/utils/fits.py
new file mode 100644
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+++ b/fg21sim/utils/fits.py
@@ -0,0 +1,100 @@
+# Copyright (c) 2016 Weitian LI <liweitianux@live.com>
+# MIT license
+
+"""
+FITS utilities.
+"""
+
+from datetime import datetime, timezone
+
+import numpy as np
+from astropy.io import fits
+
+
+# Reference:
+# http://docs.astropy.org/en/stable/io/fits/usage/table.html#column-creation
+FITS_COLUMN_FORMATS = {
+    np.dtype("bool"):       "L",
+    np.dtype("uint8"):      "B",
+    np.dtype("int16"):      "I",
+    np.dtype("int32"):      "J",
+    np.dtype("int64"):      "K",
+    np.dtype("float32"):    "E",
+    np.dtype("float64"):    "D",
+    np.dtype("complex64"):  "C",
+    np.dtype("complex128"): "M",
+}
+
+
+def write_fits_healpix(filename, hpmap, header=None, clobber=False):
+    """Write the HEALPix map to a FITS file with proper header as well
+    as the user-provided header.
+
+    This function currently only support one style of HEALPix with the
+    following specification:
+    - Only one column: I (intensity)
+    - ORDERING: RING
+    - COORDSYS: G (Galactic)
+    - OBJECT: FULLSKY
+    - INDXSCHM: IMPLICIT
+
+    Parameters
+    ----------
+    filename : str
+        Filename of the output file to write the HEALPix map data
+    hpmap : numpy.ndarray (1D)
+        1D array containing the HEALPix map data, and the ordering
+        scheme should be "RING";
+        The data type is preserved in the output FITS file.
+    header : fits.Header object
+        Extra header to be written
+    clobber : bool
+        Whether to overwrite the existing file?
+
+    NOTE
+    ----
+    - This function is intended to replace the most common case of
+      `healpy.write_map()`, which still uses some deprecated functions of
+      `numpy` and `astropy`, meanwhile, it interface/arguments is not very
+      handy.
+    - This function (currently) only implement the very basic feature of
+      the `healpy.write_map()`.
+    """
+    hpmap = np.array(hpmap)
+    if hpmap.ndim != 1:
+        raise ValueError("Invalid HEALPix data: only support 1D array")
+    #
+    npix = hpmap.size
+    nside = int((npix / 12) ** 0.5)
+    colfmt = FITS_COLUMN_FORMATS.get(hpmap.dtype)
+    if hpmap.size > 1024:
+        hpmap = hpmap.reshape(int(hpmap.size/1024), 1024)
+        colfmt = "1024" + colfmt
+    #
+    hdr = fits.Header()
+    # set HEALPix parameters
+    hdr["PIXTYPE"] = ("HEALPIX", "HEALPix pixelization")
+    hdr["ORDERING"] = ("RING",
+                       "Pixel ordering scheme, either RING or NESTED")
+    hdr["COORDSYS"] = ("G", "Ecliptic, Galactic or Celestial (equatorial)")
+    hdr["NSIDE"] = (nside, "HEALPix resolution parameter")
+    hdr["NPIX"] = (npix, "Total number of pixels")
+    hdr["FIRSTPIX"] = (0, "First pixel # (0 based)")
+    hdr["LASTPIX"] = (npix-1, "Last pixel # (0 based)")
+    hdr["INDXSCHM"] = ("IMPLICIT", "Indexing: IMPLICIT or EXPLICIT")
+    hdr["OBJECT"] = ("FULLSKY", "Sky coverage, either FULLSKY or PARTIAL")
+    #
+    hdr["EXTNAME"] = ("HEALPIX", "Name of the binary table extension")
+    hdr["CREATOR"] = (__name__, "File creator")
+    hdr["DATE"] = (
+        datetime.now(timezone.utc).astimezone().isoformat(),
+        "File creation date"
+    )
+    # merge user-provided header
+    if header is not None:
+        hdr.update(fits.Header(header))
+    #
+    hdu = fits.BinTableHDU.from_columns([
+        fits.Column(name="I", array=hpmap, format=colfmt)
+    ], header=hdr)
+    hdu.writeto(filename, clobber=clobber, checksum=True)