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#!/bin/sh
#
# Copyright (c) 2016-2017 Aaron LI
# MIT license
#
# Use DS9 to visualize the ACIS image, with useful/handy
# arguments/options passed.
# Also touch the output image filename for quicker save.
#
# NOTE:
# Tool `manifest.py` is part of the `chandra-acis-analysis` repository.
#
# Created: 2016-04-16
#
# Change logs:
# 2017-02-13:
# * Use `manifest.py` from `chandra-acis-analysis`
# * Some cleanups
#
# Default parameters
DS9_GEOMETRY=${DS9_GEOMETRY:-1288x1026-0+0}
DS9_REG_FORMAT=${DS9_REG_FORMAT:-ds9}
DS9_SMOOTH_RADIUS=${DS9_SMOOTH_RADIUS:-4}
DS9_SCALE=${DS9_SCALE:-asinh}
DS9_CMAP=${DS9_CMAP:-sls}
case "$1" in
-[hH]*)
echo "Usage:"
echo " `basename $0` <img_dir1> ..."
exit 1
;;
esac
INIT_DIR=$(pwd -P)
while [ ! -z "$1" ]; do
imgdir="$1"
shift
cd ${imgdir}
echo "====== ${PWD} ======"
FILE=$(manifest.py getpath img_fill)
if [ -z "${FILE}" ]; then
echo "*** WARNING: no image file found ***"
continue
fi
echo "FITS file: ${FILE}"
#
PNG_FILE="$(echo "${FILE%.fits}" | sed -e 's/_c7//' -e 's/_c0-3//').png"
[ ! -f "${PNG_FILE}" ] && touch ${PNG_FILE}
echo "PNG file: ${PNG_FILE}"
# FoV region
FOV=$(manifest.py getpath fov)
DS9_REG_FOV="-regions color green -regions ${REG_FOV}"
#
ds9 ${FILE} \
-bin factor 1 \
-smooth radius ${DS9_SMOOTH_RADIUS} -smooth yes \
-scale ${DS9_SCALE} \
-cmap ${DS9_CMAP} \
-geometry ${DS9_GEOMETRY} \
-regions format ${DS9_REG_FORMAT} \
-regions color white -regions ${REG_FILE} \
${DS9_REG_FOV}
#
cd ${INIT_DIR}
done
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