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timstaleytimstaley
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Updated nbstrip config
1 parent c6680b3 commit 8c92ccc

9 files changed

Lines changed: 191 additions & 432 deletions

‎docs/source/notebooks/anti_aliasing_properties.ipynb‎

Lines changed: 17 additions & 32 deletions
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@@ -10,9 +10,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
@@ -28,9 +26,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import fastimgproto.gridder.conv_funcs as conv_funcs\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.plot(cross_section)"
@@ -56,9 +50,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"shifted = np.fft.ifftshift(cross_section)"
@@ -67,9 +59,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"shifted[0]"
@@ -78,9 +68,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"shifted[-1], shifted[1]"
@@ -89,9 +77,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"amp = np.abs(np.fft.fftshift(np.fft.ifft(np.fft.ifftshift(cross_section))))\n",
@@ -105,9 +91,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"C_grid = np.fft.fftshift(np.fft.ifft2(np.fft.ifftshift(gs_kernel.array)))"
@@ -116,9 +100,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.imshow(np.abs(C_grid))"
@@ -127,16 +109,19 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.plot(np.abs(C_grid)[support])"
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]
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}
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],
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"metadata": {},
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"metadata": {
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"language_info": {
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"name": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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"nbformat_minor": 1
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}

‎docs/source/notebooks/convolutional_kernel_funcs.ipynb‎

Lines changed: 15 additions & 27 deletions
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@@ -14,9 +14,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import fastimgproto.gridder.conv_funcs as conv_funcs"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"triangle3 = conv_funcs.Triangle(half_base_width=3.0)\n",
@@ -59,9 +53,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"plot_radius = 10.\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"# %matplotlib notebook\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"collapsed": false
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"from fastimgproto.gridder.kernel_generation import Kernel\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure()\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false,
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"scrolled": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"fig = plt.figure()\n",
@@ -152,7 +135,12 @@
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]
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}
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],
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"metadata": {},
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"metadata": {
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"language_info": {
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"name": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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"nbformat_minor": 1
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}

‎docs/source/notebooks/simulate_and_image.ipynb‎

Lines changed: 21 additions & 44 deletions
Original file line numberDiff line numberDiff line change
@@ -10,9 +10,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
@@ -52,9 +48,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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"metadata": {},
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"outputs": [],
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"source": [
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"telescope = Meerkat()\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"pointing_centre = SkyCoord(0 * u.deg, -30 * u.deg)\n",
@@ -89,9 +81,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"altaz = pointing_centre.transform_to(\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"nstep=10\n",
@@ -140,9 +128,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Simulated {} visibilities\".format(len(data_vis)))"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"image_size=1024 * u.pixel\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"metadata": {},
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"outputs": [],
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"source": [
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"kernel_support = 3\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from fastimgproto.sourcefind.image import SourceFindImage"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"detection_n_sigma=20\n",
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{
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"sfimage.islands"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"src = sfimage.islands[0]"
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"fig, ax1 = plt.subplots(1,1)\n",
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]
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}
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],
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"metadata": {},
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"metadata": {
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"language_info": {
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"name": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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"nbformat_minor": 1
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}

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