cbassa

#!/usr/bin/env python3
import time

import numpy as np
import matplotlib.pyplot as plt

import numba

import cupy as cp

cbassa

# Settings
FREQ=2242e6
RATE=4e6
FIFO=$HOME/satobs/s-band/fifo

export UHD_IMAGES_DIR=/opt/uhd/share/uhd/images

# Start channelizer
nice -20 rffft -i $FIFO -p $HOME/satobs/s-band -f $FREQ -s $RATE &

cbassa

#!/usr/bin/env python3
import sys
import tqdm
from pathlib import Path

import numpy as np
import matplotlib.pyplot as plt

import astropy.units as u
from astropy.time import Time

cbassa

These are TLE estimates for the actual launch time of 2022-11-16T06:47:44. 
Orbital elements have been estimated from the timeline and parameters by Jonathan
McDowell (https://planet4589.org/space/misc/artemis1.txt).

The TLE describing translunar orbit is only valid for the first 2 days after launch,
as TLEs do not properly model the influence of the Moon at large distances from Earth.

Parking orbit (valid until 2022-11-16T08:32UTC)
1 84001U          22320.31928241  .00000000  00000-0  50000-4 0    04
2 84001  34.0000  15.0000 1103405  21.0000 180.0000 13.71415011    08

cbassa

#!/usr/bin/env python3
import os
import sys
import argparse

import numpy as np

import baseband

import astropy.units as u

cbassa

wcsfit
for file in 2*.fits; do 
    if [ ! -e $file.cal ]; then
	addwcs -f $file -r test.fits -m 9 -R 20
	satid $file $file.png/png 2>/dev/null
    fi
done

cbassa

#!/bin/bash

# Copy first file
if [ ! -e "test.fits" ]; then
    ls -1 2*.fits | head -n1 | awk '{printf("cp %s test.fits\n",$1)}' | sh
fi

# Loop over files
for file in *.fits; do

cbassa

#!/bin/bash

# Wait for nearest full second
waitfor

# Log date
timestamp=`date -u +%FT%T`
echo $timestamp >>log.txt

# Capture

cbassa

#!/usr/bin/env python3
import sys

import numpy as np
import matplotlib.pyplot as plt
from astropy.io import ascii

if __name__ == "__main__":
    d = ascii.read(sys.argv[1])

cbassa

#!/usr/bin/env python3
import os
import json
from spacetrack import SpaceTrackClient
from sgp4.earth_gravity import wgs84
from sgp4.io import twoline2rv
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from astropy.time import Time