{
"cells": [
{
"cell_type": "markdown",
"id": "03233517",
"metadata": {},
"source": [
"======================== Import Packages =========================="
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "9eba19ee",
"metadata": {},
"outputs": [],
"source": [
"import sys, pdb, glob\n",
"import numpy as np\n",
"from astropy.table import Table\n",
"import csv\n",
"from IPython.display import display, HTML\n",
"from tabulate import tabulate"
]
},
{
"cell_type": "markdown",
"id": "6ad1d759",
"metadata": {},
"source": [
"========================== Code =========================="
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "25d72be3",
"metadata": {},
"outputs": [],
"source": [
"### REJECTED TARGET INFO\n",
"name = np.array(['Sz78', 'Sz79', 'J15594528-4154572', 'J16000742-4149484', 'J16070863-3947219', 'J16080618-3912225', 'J16114865-3817580', 'J16122269-3713276'])\n",
"ra = np.array(['15:53:41.18', '15:53:42.68', '15:59:45.28', '16:00:07.43', '16:07:08.64', '16:08:06.17', '16:11:48.67', '16:12:22.73'])\n",
"de = np.array(['-39:00:37.10', '-38:08:10.40', '-41:54:57.20', '-41:49:48.90', '-39:47:22.70', '-39:12:22.50', '-38:17:58.30', '-37:13:27.60'])\n",
"cont = np.array(['0.00 +or- 0.28', '-0.55 +or- 0.27', '0.12 +or- 0.19', '-0.10 +or- 0.18', '0.38 +or- 0.30', '0.34 +or- 0.23', '0.12 +or- 0.30', '-0.04 +or- 0.59'])\n",
"gas13 = np.array(['$\\\\lt 180$', '$\\\\lt 168$', '$\\\\lt 105$', '$\\\\lt 102$', '$\\\\lt 189$', '$\\\\lt 102$', '$\\\\lt 189$', '$\\\\lt 171$'])\n",
"gas18 = np.array(['$\\\\lt 207$', '$\\\\lt 198$', '$\\\\lt 120$', '$\\\\lt 120$', '$\\\\lt 219$', '$\\\\lt 120$', '$\\\\lt 234$', '$\\\\lt 204$'])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9759a987",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"8"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"### WRITE HEADER INFO\n",
"f = open('../output/table_04.tex', 'w')\n",
"f.write(r'\\begin{table}[!htb]' + ' \\n')\n",
"f.write(r'\\caption{Rejected Targets}' + ' \\n')\n",
"f.write(r'\\label{tab-rejected}' + ' \\n')\n",
"f.write(r'\\centering ' + ' \\n')\n",
"f.write(r'\\begin{tabular}{lccrcc}' + ' \\n')\n",
"f.write(r'\\hline\\hline' + ' \\n')\n",
"f.write(r'Source & RA$_{\\rm J2000}$ & Dec$_{\\rm J2000}$ & $F_{\\rm cont}$ & $F_{\\rm 13CO}$} & $F_{\\rm C18O}$ \\\\' + ' \\n')\n",
"f.write(r' & & & (mJy) & (mJy~km~s$^{-1}$) & (mJy~km~s$^{-1}$) \\\\' + ' \\n')\n",
"f.write(r'\\hline' + ' \\n')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "5343ea23",
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [],
"source": [
"### WRITE DATA\n",
"table_body = ''\n",
"for i, val in enumerate(name):\n",
" if (i < len(name)):\n",
" end = r' \\\\' + '\\n'\n",
" else:\n",
" end = '\\n'\n",
" f.write(name[i] + ' & ' + ra[i] + ' & ' + de[i] + ' & ' + cont[i].replace('+or-', '$\\pm$') + ' & ' + \n",
" gas13[i].replace('\\\\lt', '<') + ' & ' + gas18[i].replace('\\\\lt', '<') + end)\n",
" \n",
" table_body += name[i] + ' & ' + ra[i] + ' & ' + de[i] + ' & ' + cont[i].replace('+or-', '$\\pm$') + ' & ' + gas13[i].replace('\\\\lt', '<') + ' & ' + gas18[i].replace('\\\\lt', '<') + end\n",
"\n",
"f.write(r'\\hline' + ' \\n')\n",
"f.write(r'\\end{tabular}' + ' \\n')\n",
"f.write(r'\\end{table}' + ' \\n')\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "64d9e396",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"| Name | RA_J2000 | Dec_J2000 | F_cont (mJy) | F_13CO (mJy km s-1) | F_18CO (mJy km s-1) |
|---|
\n",
"\n",
"\n",
"| Sz78 | 15:53:41.18 | -39:00:37.10 | 0.00 $\\pm$ 0.28 | $< 180$ | $< 207$ \\ |
\n",
"| Sz79 | 15:53:42.68 | -38:08:10.40 | -0.55 $\\pm$ 0.27 | $< 168$ | $< 198$ \\ |
\n",
"| J15594528-4154572 | 15:59:45.28 | -41:54:57.20 | 0.12 $\\pm$ 0.19 | $< 105$ | $< 120$ \\ |
\n",
"| J16000742-4149484 | 16:00:07.43 | -41:49:48.90 | -0.10 $\\pm$ 0.18 | $< 102$ | $< 120$ \\ |
\n",
"| J16070863-3947219 | 16:07:08.64 | -39:47:22.70 | 0.38 $\\pm$ 0.30 | $< 189$ | $< 219$ \\ |
\n",
"| J16080618-3912225 | 16:08:06.17 | -39:12:22.50 | 0.34 $\\pm$ 0.23 | $< 102$ | $< 120$ \\ |
\n",
"| J16114865-3817580 | 16:11:48.67 | -38:17:58.30 | 0.12 $\\pm$ 0.30 | $< 189$ | $< 234$ \\ |
\n",
"| J16122269-3713276 | 16:12:22.73 | -37:13:27.60 | -0.04 $\\pm$ 0.59 | $< 171$ | $< 204$ \\ |
\n",
"| | | | | | |
\n",
"\n",
"
"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"headers = [\n",
" \"Name\",\n",
" \"RA_J2000\",\n",
" \"Dec_J2000\",\n",
" \"F_cont (mJy)\",\n",
" \"F_13CO (mJy km s-1)\",\n",
" \"F_18CO (mJy km s-1)\"\n",
"]\n",
"\n",
"table_data = []\n",
"for row in table_body.split('\\\\\\n'):\n",
" table_data.append(row.split(' & '))\n",
"\n",
"display(HTML(tabulate(table_data, headers=headers, tablefmt='html')))"
]
}
],
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}