display_results_on_real_light_curve.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "af3186a9-5e99-426e-b52a-74c9ae82e495",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File name</th>\n",
       "      <th>fap_BLS</th>\n",
       "      <th>snr_BLS</th>\n",
       "      <th>period_BLS (hrs)</th>\n",
       "      <th>depth_BLS</th>\n",
       "      <th>duration_BLS (hrs)</th>\n",
       "      <th>fap_TCF</th>\n",
       "      <th>snr_TCF</th>\n",
       "      <th>period_TCF (hrs)</th>\n",
       "      <th>depth_TCF</th>\n",
       "      <th>duration_TCF (hrs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DTARPS176685457_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.24</td>\n",
       "      <td>106.33</td>\n",
       "      <td>0.004409</td>\n",
       "      <td>1.71</td>\n",
       "      <td>1.118065e-02</td>\n",
       "      <td>19.13</td>\n",
       "      <td>106.59</td>\n",
       "      <td>0.003185</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DTARPS22221375_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.36</td>\n",
       "      <td>95.61</td>\n",
       "      <td>0.000338</td>\n",
       "      <td>2.21</td>\n",
       "      <td>5.086351e-04</td>\n",
       "      <td>67.73</td>\n",
       "      <td>95.57</td>\n",
       "      <td>0.000310</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DTARPS78669098_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.20</td>\n",
       "      <td>13.85</td>\n",
       "      <td>0.000483</td>\n",
       "      <td>1.99</td>\n",
       "      <td>3.078282e-11</td>\n",
       "      <td>63.72</td>\n",
       "      <td>13.87</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DTARPS89020549_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.80</td>\n",
       "      <td>50.66</td>\n",
       "      <td>0.001073</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1.282675e-06</td>\n",
       "      <td>22.71</td>\n",
       "      <td>50.65</td>\n",
       "      <td>0.000986</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                File name  fap_BLS  snr_BLS  period_BLS (hrs)  depth_BLS  \\\n",
       "0  DTARPS176685457_lc.txt      0.0    10.24            106.33   0.004409   \n",
       "1   DTARPS22221375_lc.txt      0.0    17.36             95.61   0.000338   \n",
       "2   DTARPS78669098_lc.txt      0.0    24.20             13.85   0.000483   \n",
       "3   DTARPS89020549_lc.txt      0.0    18.80             50.66   0.001073   \n",
       "\n",
       "   duration_BLS (hrs)       fap_TCF  snr_TCF  period_TCF (hrs)  depth_TCF  \\\n",
       "0                1.71  1.118065e-02    19.13            106.59   0.003185   \n",
       "1                2.21  5.086351e-04    67.73             95.57   0.000310   \n",
       "2                1.99  3.078282e-11    63.72             13.87   0.000530   \n",
       "3                1.77  1.282675e-06    22.71             50.65   0.000986   \n",
       "\n",
       "   duration_TCF (hrs)  \n",
       "0                 2.5  \n",
       "1                 3.5  \n",
       "2                 2.0  \n",
       "3                 1.5  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "def process(df):\n",
    "    df[df.columns[1:]] = df[df.columns[1:]].astype(float)\n",
    "    for col in df.columns[[2, 3, 5, 7, 8, 10]]:\n",
    "        df[col] = df[col].astype(float)\n",
    "        df[col] = df[col].round(decimals=2)\n",
    "\n",
    "    df = df.rename(columns={\"Unnamed: 0\": \"File name\"})\n",
    "\n",
    "    return df\n",
    "\n",
    "df = pd.read_csv('real_lc_bls_and_tcf_compare.csv')\n",
    "process(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f8d482b-785c-4c18-be4e-caab2d1b85b8",
   "metadata": {},
   "source": [
    "Showing the same results as above, but using Gaussian Processes Regression before BLS. TCF results would **not** change."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9d52f240-80db-4ced-877a-cfa3ffc52054",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File name</th>\n",
       "      <th>fap_BLS</th>\n",
       "      <th>snr_BLS</th>\n",
       "      <th>period_BLS (hrs)</th>\n",
       "      <th>depth_BLS</th>\n",
       "      <th>duration_BLS (hrs)</th>\n",
       "      <th>fap_TCF</th>\n",
       "      <th>snr_TCF</th>\n",
       "      <th>period_TCF (hrs)</th>\n",
       "      <th>depth_TCF</th>\n",
       "      <th>duration_TCF (hrs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DTARPS176685457_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.46</td>\n",
       "      <td>106.33</td>\n",
       "      <td>0.004130</td>\n",
       "      <td>1.71</td>\n",
       "      <td>1.118065e-02</td>\n",
       "      <td>19.13</td>\n",
       "      <td>106.59</td>\n",
       "      <td>0.003185</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DTARPS22221375_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.30</td>\n",
       "      <td>95.61</td>\n",
       "      <td>0.000322</td>\n",
       "      <td>2.21</td>\n",
       "      <td>5.086351e-04</td>\n",
       "      <td>67.73</td>\n",
       "      <td>95.57</td>\n",
       "      <td>0.000310</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DTARPS78669098_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.19</td>\n",
       "      <td>13.86</td>\n",
       "      <td>0.000471</td>\n",
       "      <td>2.13</td>\n",
       "      <td>3.078282e-11</td>\n",
       "      <td>63.72</td>\n",
       "      <td>13.87</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DTARPS89020549_lc.txt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.68</td>\n",
       "      <td>50.66</td>\n",
       "      <td>0.001051</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1.282675e-06</td>\n",
       "      <td>22.71</td>\n",
       "      <td>50.65</td>\n",
       "      <td>0.000986</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                File name  fap_BLS  snr_BLS  period_BLS (hrs)  depth_BLS  \\\n",
       "0  DTARPS176685457_lc.txt      0.0    10.46            106.33   0.004130   \n",
       "1   DTARPS22221375_lc.txt      0.0    17.30             95.61   0.000322   \n",
       "2   DTARPS78669098_lc.txt      0.0    24.19             13.86   0.000471   \n",
       "3   DTARPS89020549_lc.txt      0.0    18.68             50.66   0.001051   \n",
       "\n",
       "   duration_BLS (hrs)       fap_TCF  snr_TCF  period_TCF (hrs)  depth_TCF  \\\n",
       "0                1.71  1.118065e-02    19.13            106.59   0.003185   \n",
       "1                2.21  5.086351e-04    67.73             95.57   0.000310   \n",
       "2                2.13  3.078282e-11    63.72             13.87   0.000530   \n",
       "3                1.77  1.282675e-06    22.71             50.65   0.000986   \n",
       "\n",
       "   duration_TCF (hrs)  \n",
       "0                 2.5  \n",
       "1                 3.5  \n",
       "2                 2.0  \n",
       "3                 1.5  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('real_lc_bls_and_tcf_compare_with_GPR_for_BLS.csv')\n",
    "process(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc9f1131-e4b0-4b92-b757-1d930ecd70d5",
   "metadata": {},
   "source": [
    "As we see, the results are mostly unchanged. Only slight changes in the SNR are seen. This could be because the light curves were already detrended using spline fits.\n",
    "\n",
    "**Note**:While the code in the below cells is same as the above cell, the `real_lc_bls_and_tcf_compare_with_GPR_for_BLS.csv` file was re-written before each of the below cells was run. Hence, the below is only for visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2f7ed0d1-49e5-439f-961c-a6d7f50670a9",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File name</th>\n",
       "      <th>fap_BLS</th>\n",
       "      <th>snr_BLS</th>\n",
       "      <th>period_BLS (hrs)</th>\n",
       "      <th>depth_BLS</th>\n",
       "      <th>duration_BLS (hrs)</th>\n",
       "      <th>fap_TCF</th>\n",
       "      <th>snr_TCF</th>\n",
       "      <th>period_TCF (hrs)</th>\n",
       "      <th>depth_TCF</th>\n",
       "      <th>duration_TCF (hrs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DTARPS176685457_lc.txt</td>\n",
       "      <td>4.840572e-14</td>\n",
       "      <td>10.38</td>\n",
       "      <td>106.33</td>\n",
       "      <td>0.004198</td>\n",
       "      <td>1.71</td>\n",
       "      <td>0.006220</td>\n",
       "      <td>19.13</td>\n",
       "      <td>106.59</td>\n",
       "      <td>0.003185</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DTARPS22221375_lc.txt</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17.41</td>\n",
       "      <td>95.61</td>\n",
       "      <td>0.000320</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.000685</td>\n",
       "      <td>67.73</td>\n",
       "      <td>95.57</td>\n",
       "      <td>0.000310</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DTARPS78669098_lc.txt</td>\n",
       "      <td>9.325873e-15</td>\n",
       "      <td>24.10</td>\n",
       "      <td>13.85</td>\n",
       "      <td>0.000484</td>\n",
       "      <td>1.99</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>63.72</td>\n",
       "      <td>13.87</td>\n",
       "      <td>0.000530</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DTARPS89020549_lc.txt</td>\n",
       "      <td>1.521006e-14</td>\n",
       "      <td>18.49</td>\n",
       "      <td>50.66</td>\n",
       "      <td>0.001046</td>\n",
       "      <td>1.77</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>22.71</td>\n",
       "      <td>50.65</td>\n",
       "      <td>0.000986</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                File name       fap_BLS  snr_BLS  period_BLS (hrs)  depth_BLS  \\\n",
       "0  DTARPS176685457_lc.txt  4.840572e-14    10.38            106.33   0.004198   \n",
       "1   DTARPS22221375_lc.txt  0.000000e+00    17.41             95.61   0.000320   \n",
       "2   DTARPS78669098_lc.txt  9.325873e-15    24.10             13.85   0.000484   \n",
       "3   DTARPS89020549_lc.txt  1.521006e-14    18.49             50.66   0.001046   \n",
       "\n",
       "   duration_BLS (hrs)   fap_TCF  snr_TCF  period_TCF (hrs)  depth_TCF  \\\n",
       "0                1.71  0.006220    19.13            106.59   0.003185   \n",
       "1                2.21  0.000685    67.73             95.57   0.000310   \n",
       "2                1.99  0.000000    63.72             13.87   0.000530   \n",
       "3                1.77  0.000003    22.71             50.65   0.000986   \n",
       "\n",
       "   duration_TCF (hrs)  \n",
       "0                 2.5  \n",
       "1                 3.5  \n",
       "2                 2.0  \n",
       "3                 1.5  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('real_lc_bls_and_tcf_compare_with_GPR_for_BLS.csv')\n",
    "process(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b8f5d8c3-9095-4bac-9fb4-4e3ceeafb595",
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>File name</th>\n",
       "      <th>fap_BLS</th>\n",
       "      <th>snr_BLS</th>\n",
       "      <th>period_BLS (hrs)</th>\n",
       "      <th>depth_BLS</th>\n",
       "      <th>duration_BLS (hrs)</th>\n",
       "      <th>fap_TCF</th>\n",
       "      <th>snr_TCF</th>\n",
       "      <th>period_TCF (hrs)</th>\n",
       "      <th>depth_TCF</th>\n",
       "      <th>duration_TCF (hrs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DTARPS176685457_lc.txt</td>\n",
       "      <td>4.840572e-14</td>\n",
       "      <td>10.38</td>\n",
       "      <td>106.33</td>\n",
       "      <td>0.004198</td>\n",
       "      <td>1.71</td>\n",
       "      <td>0.999661</td>\n",
       "      <td>6.82</td>\n",
       "      <td>35.19</td>\n",
       "      <td>0.003012</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DTARPS22221375_lc.txt</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>17.41</td>\n",
       "      <td>95.61</td>\n",
       "      <td>0.000320</td>\n",
       "      <td>2.21</td>\n",
       "      <td>0.977066</td>\n",
       "      <td>8.79</td>\n",
       "      <td>41.77</td>\n",
       "      <td>0.000249</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DTARPS78669098_lc.txt</td>\n",
       "      <td>9.325873e-15</td>\n",
       "      <td>24.10</td>\n",
       "      <td>13.85</td>\n",
       "      <td>0.000484</td>\n",
       "      <td>1.99</td>\n",
       "      <td>0.085683</td>\n",
       "      <td>10.81</td>\n",
       "      <td>18.44</td>\n",
       "      <td>0.000791</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DTARPS89020549_lc.txt</td>\n",
       "      <td>1.521006e-14</td>\n",
       "      <td>18.49</td>\n",
       "      <td>50.66</td>\n",
       "      <td>0.001046</td>\n",
       "      <td>1.77</td>\n",
       "      <td>0.478308</td>\n",
       "      <td>15.21</td>\n",
       "      <td>4.46</td>\n",
       "      <td>0.000432</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                File name       fap_BLS  snr_BLS  period_BLS (hrs)  depth_BLS  \\\n",
       "0  DTARPS176685457_lc.txt  4.840572e-14    10.38            106.33   0.004198   \n",
       "1   DTARPS22221375_lc.txt  0.000000e+00    17.41             95.61   0.000320   \n",
       "2   DTARPS78669098_lc.txt  9.325873e-15    24.10             13.85   0.000484   \n",
       "3   DTARPS89020549_lc.txt  1.521006e-14    18.49             50.66   0.001046   \n",
       "\n",
       "   duration_BLS (hrs)   fap_TCF  snr_TCF  period_TCF (hrs)  depth_TCF  \\\n",
       "0                1.71  0.999661     6.82             35.19   0.003012   \n",
       "1                2.21  0.977066     8.79             41.77   0.000249   \n",
       "2                1.99  0.085683    10.81             18.44   0.000791   \n",
       "3                1.77  0.478308    15.21              4.46   0.000432   \n",
       "\n",
       "   duration_TCF (hrs)  \n",
       "0                 0.5  \n",
       "1                 0.5  \n",
       "2                 0.5  \n",
       "3                 0.5  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('real_lc_bls_and_tcf_compare_with_GPR_for_BLS.csv')\n",
    "process(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9c78b7f2-84ee-456f-b99c-40f62daa2db8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-rw-r-- 1 oem oem 1.2K Oct 24 00:19 bls_and_tcf_comparison_autoregressive_ntransits10.csv\n",
      "-rw-rw-r-- 1 oem oem 1.3K Oct 24 00:19 bls_and_tcf_comparison_gaussian_ntransits10.csv\n",
      "-rw-rw-r-- 1 oem oem  852 Jan 31 10:23 real_lc_bls_and_tcf_compare.csv\n",
      "-rw-rw-r-- 1 oem oem  897 Feb  4 10:28 real_lc_bls_and_tcf_compare_with_GPR_for_BLS.csv\n"
     ]
    }
   ],
   "source": [
    "!ls -lh *.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c07b7c09-cc3c-4fde-964f-0132825d3b79",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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