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daniestevezdaniestevez
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Minor updates to notebooks
1 parent fbf776a commit e3c831b

25 files changed

+600
-379
lines changed

‎Aircraft Doppler.ipynb

+2-2
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python3",
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"language": "python",
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"name": "python3"
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"language_info": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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"version": "3.6.9"
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}
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},
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"nbformat": 4,

‎Amateur VLBI.ipynb

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{
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"cell_type": "code",
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"execution_count": 216,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"N = 2**14\n",
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{
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"cell_type": "code",
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"execution_count": 226,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"delta_range_tle = np.empty_like(delta_range)\n",
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{
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"cell_type": "code",
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"execution_count": 295,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"bb_phase_sample = np.cumsum(np.repeat(bb_freq, N))\n",
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{
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"cell_type": "code",
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"execution_count": 270,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"for k in range(1,steps):\n",
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{
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"cell_type": "code",
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"execution_count": 296,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"t_corrected = np.arange(corrected_delta_range.size)*step/fs\n",
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python3.5",
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"language": "python3",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.4"
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"version": "3.6.9"
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}
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},
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"nbformat": 4,

‎BPSK postprocessing.ipynb

+120-76
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‎Choke impedance.ipynb

+16-14
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‎ED4YAE 10GHz study.ipynb

+101-69
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‎ESEO.ipynb

+1-1
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{

‎FFT downsampling.ipynb

+13-11
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‎LilacSat-1 image repair.ipynb

+13-13
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},
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"outputs": [],
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"source": [
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"PATH = '/home/daniel/lilacsat1-data/'"
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"PATH = 'lilacsat1-data/'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 3,
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"metadata": {
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"collapsed": true
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},
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1451878940>"
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"<matplotlib.image.AxesImage at 0x7fa7edab5908>"
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]
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},
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"execution_count": 4,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1451790550>"
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"<matplotlib.image.AxesImage at 0x7fa7ed9cf400>"
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},
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"execution_count": 5,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f145176def0>"
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"<matplotlib.image.AxesImage at 0x7fa7ed9aceb8>"
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},
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f14516d10b8>"
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"<matplotlib.image.AxesImage at 0x7fa7ed90e080>"
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"execution_count": 10,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452c07160>"
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"<matplotlib.image.AxesImage at 0x7fa7eee44128>"
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},
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"execution_count": 13,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452be1630>"
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"<matplotlib.image.AxesImage at 0x7fa7eee1e668>"
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]
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},
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"execution_count": 15,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452b43ac8>"
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"<matplotlib.image.AxesImage at 0x7fa7eed81a58>"
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]
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},
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"execution_count": 17,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452b1dfd0>"
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"<matplotlib.image.AxesImage at 0x7fa7eed65160>"
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]
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},
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"execution_count": 18,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452a80588>"
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"<matplotlib.image.AxesImage at 0x7fa7eecc0518>"
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]
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},
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"execution_count": 20,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f1452a58be0>"
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"<matplotlib.image.AxesImage at 0x7fa7eec96b00>"
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]
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"execution_count": 21,
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{
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"data": {
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"text/plain": [
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"<matplotlib.image.AxesImage at 0x7f14529bb588>"
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"<matplotlib.image.AxesImage at 0x7fa7eebfa518>"
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]
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},
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"execution_count": 23,

‎dslwp/DSLWP-B Doppler analysis.ipynb

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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"def utc2taimodjulian(x):\n",
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"ve7til_ecef = np.array([-2303967.2134504286, -3458727.86250663, 4822174.148309025])*1e-3"
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python3.5",
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"language": "python3",
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"name": "python3"
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"language_info": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.5"
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"version": "3.6.5"
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}
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},
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"nbformat": 4,

‎dslwp/DSLWP-B SME.ipynb

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"cell_type": "code",
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"execution_count": 5,
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"t, data = load_data('/home/daniel/jupyter_notebooks/dslwp/SME.txt', '2018-10-07T09:50:00', '2018-10-07T12:10:00')\n",
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"min_dist, reflection_point_long, reflection_point_lat = compute_moonbounce(data)\n",

‎dslwp/VLBI 2018-11-21.ipynb

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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"3.2768"
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]
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},
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"execution_count": 2,
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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},
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"# Generate seconds and items for Dwingeloo (which has clock jumps)\n",
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"\n",
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"#subprocess.run(\"gr_read_file_metadata /mnt/disk/dslwp/charon.camras.nl/public/dslwp-b/vlbi/DSLWP-B_PI9CAM_2018-11-21_436MHz.raw | grep Seconds | awk '{print $2;}' > /tmp/dwingeloo_seconds\", shell = True)\n",
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"#subprocess.run(\"gr_read_file_metadata /mnt/disk/dslwp/charon.camras.nl/public/dslwp-b/vlbi/DSLWP-B_PI9CAM_2018-11-21_436MHz.raw | grep items | awk '{print $1;}' > /tmp/dwingeloo_items\", shell = True)\n",
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"#dwingeloo_seconds = np.fromfile('/tmp/dwingeloo_seconds', sep = ' ')\n",
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"#np.save('dwingeloo_seconds.npy', dwingeloo_seconds)\n",
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"#dwingeloo_items = np.fromfile('/tmp/dwingeloo_items', sep = ' ')\n",
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"#np.save('dwingeloo_items.npy', dwingeloo_items)"
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"# subprocess.run(\"gr_read_file_metadata /mnt/disk/dslwp/charon.camras.nl/public/dslwp-b/vlbi/DSLWP-B_PI9CAM_2018-11-21_436MHz.raw | grep Seconds | awk '{print $2;}' > /tmp/dwingeloo_seconds\", shell = True)\n",
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"# subprocess.run(\"gr_read_file_metadata /mnt/disk/dslwp/charon.camras.nl/public/dslwp-b/vlbi/DSLWP-B_PI9CAM_2018-11-21_436MHz.raw | grep items | awk '{print $1;}' > /tmp/dwingeloo_items\", shell = True)\n",
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"# dwingeloo_seconds = np.fromfile('/tmp/dwingeloo_seconds', sep = ' ')\n",
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"# np.save('dwingeloo_seconds.npy', dwingeloo_seconds)\n",
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"# dwingeloo_items = np.fromfile('/tmp/dwingeloo_items', sep = ' ')\n",
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"# np.save('dwingeloo_items.npy', dwingeloo_items)"
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]
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},
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{

‎dslwp/VLBI analysis.ipynb

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"cell_type": "code",
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"collapsed": true
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"outputs": [],
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"trk = vlbi.load_doppler_file('VLBI_Doppler.txt')\n",
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"metadata": {
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"display_name": "Python 3",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.5.5"
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"version": "3.6.9"
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}
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},
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"nbformat": 4,

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