1 files changed, 120 insertions, 0 deletions
diff --git a/astro/oskar/wsclean.py b/astro/oskar/wsclean.py
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+++ b/astro/oskar/wsclean.py
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+#!/usr/bin/env python3
+#
+# Copyright (c) 2017 Aaron LI
+# MIT license
+#
+# Create image from OSKAR simulated visibility data using `WSClean`.
+# WSClean: https://sourceforge.net/p/wsclean/
+#
+# 2017-09-01
+#
+
+
+import argparse
+import subprocess
+import time
+
+
+def wsclean(args):
+    t1 = time.perf_counter()
+    cmd = ["wsclean"] + args
+    print("CMD: %s" % " ".join(cmd))
+    subprocess.check_call(cmd)
+    t2 = time.perf_counter()
+    print("Elapsed time: %.1f [min]" % ((t2-t1)/60))
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Run WSClean")
+    parser.add_argument("--args", dest="args", nargs="*",
+                        help="additional arguments for WSClean")
+    parser.add_argument("--dirty", dest="dirty", action="store_true",
+                        help="only create dirty images (by setting niter=0)")
+    parser.add_argument("--update-model", dest="update_model",
+                        action="store_true",
+                        help="update the MODEL_DATA column in MS")
+    parser.add_argument("--weight-briggs", dest="briggs",
+                        type=float, default=0.0,
+                        help="Briggs weight parameter")
+    parser.add_argument("--niter", dest="niter", type=int, default=100000,
+                        help="maximum number of CLEAN iterations")
+    parser.add_argument("--gain", dest="gain", type=float, default=0.1,
+                        help="CLEAN gain for each minor iteration")
+    parser.add_argument("--mgain", dest="mgain", type=float, default=0.85,
+                        help="CLEAN gain for major iterations")
+    parser.add_argument("--size", dest="size", type=int,
+                        required=True,
+                        help="output image size (pixel number on a side)")
+    parser.add_argument("--pixelsize", dest="pixelsize", type=float,
+                        required=True,
+                        help="output image pixel size [arcsec]")
+    parser.add_argument("--taper-gaussian", dest="taper_gaussian",
+                        type=float,
+                        help="taper the weights with a Gaussian function " +
+                        "to reduce the contribution of long baselines. " +
+                        "Gaussian beam size in [arcsec].")
+    parser.add_argument("--fit-spec-order", dest="fit_spec_order", type=int,
+                        help="do joined-channel CLEAN by fitting the " +
+                        "spectra with [order] polynomial in normal-space")
+    #
+    exgrp = parser.add_mutually_exclusive_group()
+    exgrp.add_argument("--threshold-auto", dest="threshold_auto",
+                       type=float, default=1.5,
+                       help="estimate noise level and stop at <sigma>*<std>")
+    exgrp.add_argument("--threshold", dest="threshold", type=float,
+                       help="stopping CLEAN threshold [Jy]")
+    #
+    parser.add_argument("--name", dest="name", required=True,
+                        help="filename prefix for the output files")
+    parser.add_argument("--ms", nargs="+", help="input visibility MSs")
+    args = parser.parse_args()
+
+    nms = len(args.ms)  # i.e., number of MS == number of channels
+
+    cmdargs = [
+        "-verbose",
+        "-log-time",
+        "-pol", "XX",  # OSKAR "Scalar" simulation only give "XX" component
+        "-make-psf",  # always make the PSF, even no cleaning performed
+    ]
+
+    if args.dirty:
+        cmdargs += ["-niter", str(0)]  # make dirty image only
+    else:
+        cmdargs += ["-niter", str(args.niter)]
+
+    cmdargs += ["-weight", "briggs", str(args.briggs)]
+    cmdargs += ["-gain", str(args.gain)]
+    cmdargs += ["-mgain", str(args.mgain)]
+    cmdargs += ["-size", str(args.size), str(args.size)]
+    cmdargs += ["-scale", "{0}asec".format(args.pixelsize)]
+
+    if args.fit_spec_order:
+        cmdargs += ["-joinchannels", "-channelsout", str(nms),
+                    "-fit-spectral-pol", str(args.fit_spec_order+1)]
+
+    if args.update_model:
+        cmdargs += ["-update-model-required"]
+    else:
+        cmdargs += ["-no-update-model-required"]
+
+    if args.threshold:
+        cmdargs += ["-threshold", str(args.threshold)]
+    else:
+        cmdargs += ["-auto-threshold", str(args.threshold_auto)]
+
+    if args.taper_gaussian:
+        cmdargs += ["-taper-gaussian", str(args.taper_gaussian)]
+
+    # additional WSClean arguments
+    if args.args:
+        cmdargs += args.args
+
+    cmdargs += ["-name", args.name.rstrip("-_")]
+    cmdargs += args.ms
+
+    wsclean(cmdargs)
+
+
+if __name__ == "__main__":
+    main()