80 lines
3.8 KiB
Python
Executable File
80 lines
3.8 KiB
Python
Executable File
#!/usr/bin/python
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# -*- coding:utf-8 -*-
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from pathlib import Path
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from sys import path as syspath
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syspath.append(str(Path(__file__).parent.parent))
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def main(infile, target=None, output_dir=None):
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from os.path import join as pathjoin
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import numpy as np
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from astropy.io.fits import open as fits_open
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from astropy.wcs import WCS
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from lib.plots import polarization_map
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from lib.utils import CenterConf, PCconf
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from matplotlib.patches import Rectangle
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from matplotlib.pyplot import figure, show
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output = []
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Stokes = fits_open(infile)
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stkI = Stokes["I_STOKES"].data
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QN, UN, QN_ERR, UN_ERR = np.full((4, stkI.shape[0], stkI.shape[1]), np.nan)
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for sflux, nflux in zip(
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[Stokes["Q_STOKES"].data, Stokes["U_STOKES"].data, np.sqrt(Stokes["IQU_COV_MATRIX"].data[1, 1]), np.sqrt(Stokes["IQU_COV_MATRIX"].data[2, 2])],
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[QN, UN, QN_ERR, UN_ERR],
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):
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nflux[stkI > 0.0] = sflux[stkI > 0.0] / stkI[stkI > 0.0]
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Stokesconf = PCconf(QN, UN, QN_ERR, UN_ERR)
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Stokesmask = Stokes["DATA_MASK"].data.astype(bool)
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Stokessnr = np.zeros(Stokesmask.shape)
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Stokessnr[Stokes["POL_DEG_ERR"].data > 0.0] = (
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Stokes["POL_DEG_DEBIASED"].data[Stokes["POL_DEG_ERR"].data > 0.0] / Stokes["POL_DEG_ERR"].data[Stokes["POL_DEG_ERR"].data > 0.0]
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)
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Stokescentconf, Stokescenter = CenterConf(Stokesconf > 0.99, Stokes["POL_ANG"].data, Stokes["POL_ANG_ERR"].data)
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Stokespos = WCS(Stokes[0].header).pixel_to_world(*Stokescenter)
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if target is None:
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target = Stokes[0].header["TARGNAME"]
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fig = figure(figsize=(8, 8.5), layout="constrained")
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fig, ax = polarization_map(Stokes, P_cut=0.99, step_vec=1, scale_vec=3, display="i", fig=fig, width=0.33, linewidth=0.5)
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ax.plot(*Stokescenter, marker="+", color="gray", label="Best confidence for center: {0}".format(Stokespos.to_string("hmsdms")))
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confcentcont = ax.contour(Stokescentconf, [0.01], colors="gray")
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confcont = ax.contour(Stokesconf, [0.9905], colors="r")
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# snr3cont = ax.contour(Stokessnr, [3.0], colors="b", linestyles="dashed")
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# snr4cont = ax.contour(Stokessnr, [4.0], colors="b")
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handles, labels = ax.get_legend_handles_labels()
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labels.append(r"Center $Conf_{99\%}$ contour")
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handles.append(Rectangle((0, 0), 1, 1, fill=False, ec=confcentcont.get_edgecolor()[0]))
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labels.append(r"Polarization $Conf_{99\%}$ contour")
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handles.append(Rectangle((0, 0), 1, 1, fill=False, ec=confcont.get_edgecolor()[0]))
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# labels.append(r"$SNR_P \geq$ 3 contour")
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# handles.append(Rectangle((0, 0), 1, 1, fill=False, ls="--", ec=snr3cont.get_edgecolor()[0]))
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# labels.append(r"$SNR_P \geq$ 4 contour")
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# handles.append(Rectangle((0, 0), 1, 1, fill=False, ec=snr4cont.get_edgecolor()[0]))
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ax.legend(handles=handles, labels=labels, bbox_to_anchor=(0.0, -0.02, 1.0, 0.01), loc="upper left", mode="expand", borderaxespad=0.0)
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if output_dir is not None:
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filename = pathjoin(output_dir, "%s_center.pdf" % target)
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fig.savefig(filename, dpi=300, facecolor="None")
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output.append(filename)
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show()
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return output
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser(description="Look for the center of emission for a given reduced observation")
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parser.add_argument("-t", "--target", metavar="targetname", required=False, help="the name of the target", type=str, default=None)
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parser.add_argument("-f", "--file", metavar="path", required=False, help="The full or relative path to the data product", type=str, default=None)
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parser.add_argument("-o", "--output_dir", metavar="directory_path", required=False, help="output directory path for the plots", type=str, default="./data")
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args = parser.parse_args()
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exitcode = main(infile=args.file, target=args.target, output_dir=args.output_dir)
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print("Written to: ", exitcode)
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