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#!/bin/bash -l
#SBATCH --job-name=hyp-$1
#SBATCH --output=hyperdrive.out
#SBATCH --nodes=1
#SBATCH --ntasks-per-node=40
#SBATCH --time=01:00:00
#SBATCH --clusters=garrawarla
#SBATCH --partition=gpuq
#SBATCH --account=mwavcs
#SBATCH --export=NONE
#SBATCH --gres=tmp:50g
#SBATCH --gres=gpu:1

# Load the Hyperdrive module
module use /pawsey/mwa/software/python3/modulefiles
module load hyperdrive
module load vcsbeam

set -eux
which hyperdrive

# The location of the correlated visibility FITS files:
DATADIR=/astro/mwavcs/asvo/253001

# The path to the associated metafits filefiles
CAL_METAFITS=${DATADIR}/1323690320.metafits
OBS_METAFITS=/astro/mwavcs/asvo/253008/1323690616.metafits # <-- This is the observation for which the calibration solution is needed

# The base source list (you shouldn't need to change this)
SRCLIST=/pawsey/mwa/software/python3/srclists/master/srclist_pumav3_EoR0aegean_fixedEoR1pietro+ForA_phase1+2.txt

# If it hasn't been done already, run Hyperdrive in "srclist-by-beam" to get just the subset of sources in the beam
if [[ ! -r srclist_1000.yaml ]]; then
   hyperdrive srclist-by-beam \
       -n 1000 \
       -m ${CAL_METAFITS} \
       /pawsey/mwa/software/python3/srclists/master/srclist_pumav3_EoR0aegean_fixedEoR1pietro+ForA_phase1+2.txt \
       srclist_1000.yaml
fi

# Run Hyperdrive to generate a calibration solution
hyperdrive di-calibrate \
    -s srclist_1000.yaml \
    -d ${DATADIR}/*.fits \
    ${CAL_METAFITS}

# Use VCSBeam to plot the solutions
srun -N 1 -n 1 mwa_plot_calibration -m ${OBS_METAFITS} -c ${CAL_METAFITS} -C hyperdrive_solutions.bin -R NONE -U 0,0 -O -X -z nan > plot_data.txt

# The following will have to be done on your own computer (not on Garrawarla)
# Download
#    (1) plot_calibration.py (use "which plot_calibration.py" to find out where it is)
#    (2) plot_data.txt
# and then run the following
#plot_calibration.py  --phases_png phases.png  --amps_png amps.png  plot_data.txt