#!/usr/bin/env python3 # # Copyright (c) 2016 Weitian LI # MIT license """ Recover the sky map in HPX projection format back into HEALPix table format, i.e., the reverse of `healpix2hpx.py`. """ import os import sys import argparse import logging import numpy as np from astropy.io import fits import fg21sim from fg21sim.configs import configs from fg21sim.utils import hpx2healpix, setup_logging # Reference: # http://docs.astropy.org/en/stable/io/fits/usage/table.html#column-creation FITS_COLUMN_FORMATS = { np.dtype("int16"): "I", np.dtype("int32"): "J", np.dtype("int64"): "K", np.dtype("float32"): "E", np.dtype("float64"): "D", } def main(): parser = argparse.ArgumentParser( description="Recover the image in HPX projection to HEALPix data") parser.add_argument("infile", help="input FITS image in HPX projection") parser.add_argument("outfile", help="output HEALPix data file") parser.add_argument("-C", "--clobber", action="store_true", help="overwrite the existing output file") parser.add_argument("-F", "--float", action="store_true", help="use float (single precision) instead of double") parser.add_argument("-l", "--log", dest="loglevel", default=None, choices=["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"], help="set the log level") parser.add_argument("-L", "--logfile", default=None, help="filename where to save the log messages") parser.add_argument("-Q", "--quiet", action="store_true", help="be quiet so do not log messages to screen") args = parser.parse_args() if args.quiet: log_stream = "" else: log_stream = None tool = os.path.basename(sys.argv[0]) pkgname = fg21sim.__pkgname__ setup_logging(dict_config=configs.logging, level=args.loglevel, stream=log_stream, logfile=args.logfile) logger = logging.getLogger(tool) logger.info("COMMAND: {0}".format(" ".join(sys.argv))) history = [ "TOOL: {0}".format(tool), "PARAM: {0}".format(" ".join(sys.argv[1:])), ] comments = [ 'Tool "{0}" is part of the "{1}" package'.format(tool, pkgname), 'distributed under {0} license.'.format(fg21sim.__license__), 'See also {0}'.format(fg21sim.__url__) ] hp_data, hp_header = hpx2healpix(args.infile, append_history=history, append_comment=comments) if args.float: logger.info("HEALPix data: use single-precision float numbers") hp_data = hp_data.astype(np.float32) hdu = fits.BinTableHDU.from_columns([ fits.Column(name="I", array=hp_data, format=FITS_COLUMN_FORMATS.get(hp_data.dtype)) ], header=hp_header) hdu.writeto(args.outfile, clobber=args.clobber, checksum=True) logger.info("HEALPix data write to FITS file: %s" % args.outfile) if __name__ == "__main__": main()