creating_corners_zero_list.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "#this is just the code that created zeroed_corners.list. I would not recommend re-running\n",
    "#it as the data has already been collected, but if you do, go into the file and make\n",
    "#sure the column names are correct -- there's a bug in the csv file save\n",
    "\n",
    "# List to store data from columns 3-11\n",
    "data = []\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hi /data/des80.a/data/desgw/ImageProcessingTesting/gw_workflow/669850_local/42/974612_2.out\n",
      "hi /data/des80.a/data/desgw/ImageProcessingTesting/gw_workflow/669850_local/42/974612_61.out\n"
     ]
    }
   ],
   "source": [
    "# Iterate over file numbers 1-62\n",
    "data =[]\n",
    "for i in range(1, 63):\n",
    "    #filename that contains corners for a given exposure\n",
    "    filename = f\"/data/des80.a/data/desgw/ImageProcessingTesting/gw_workflow/669850_local/42/974612_{i}.out\"\n",
    "    \n",
    "\n",
    "    try:\n",
    "        # Read the file\n",
    "        with open(filename, 'r') as file:\n",
    "            line = str(file.readline().strip())\n",
    "            #print(f'line is {line}')\n",
    "            # Split the line by spaces\n",
    "            values = line.split()\n",
    "#             print(f'values are {values}')\n",
    "\n",
    "            data.append(values)\n",
    "#             print(f'data is {data}')\n",
    "        \n",
    "    except FileNotFoundError:\n",
    "        print(f'hi {filename}')\n",
    "        # If the file is not found, continue to the next iteration\n",
    "        #should detect ccd 2 and 61 are missing\n",
    "        continue\n",
    "        \n",
    "# print(data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Exposure found:\n",
      "974612  20210317  59291.225675  195.555196 -23.265400      i    90.00    2019A-0305  object    1.26                            DELVE field: 13004-02-i\n"
     ]
    }
   ],
   "source": [
    "def find_exposure(file_path, exposure_number):\n",
    "    #getting ra and dec for this exposure for rezeroing\n",
    "    try:\n",
    "        with open(file_path, 'r') as file:\n",
    "            for line in file:\n",
    "                if exposure_number in line:\n",
    "                    return line.strip()\n",
    "    except FileNotFoundError:\n",
    "        print(f\"File '{file_path}' not found.\")\n",
    "    \n",
    "    return None\n",
    "\n",
    "# Example usage\n",
    "exposure_file = \"/data/des80.a/data/eliseke/gw_workflow/exposures.list\"\n",
    "target_exposure = \"974612\"\n",
    "\n",
    "found_line = find_exposure(exposure_file, target_exposure)\n",
    "\n",
    "if found_line:\n",
    "    print(\"Exposure found:\")\n",
    "    print(found_line)\n",
    "else:\n",
    "    print(\"Exposure not found.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       0  1  2          3          4          5          6          7   \\\n",
      "1  974612  i  3  195.73359  -22.29195  196.05442  -22.29223  195.73347   \n",
      "\n",
      "          8          9          10  \n",
      "1  -22.43884  196.05472  -22.43926  \n"
     ]
    }
   ],
   "source": [
    "# Concatenate all data frames into a single data frame\n",
    "# Create a data frame from the collected data\n",
    "result = pd.DataFrame(data)\n",
    "# result.rename(index={0: \"\", 1: \"y\", 2: \"z\"})\n",
    "# print(result.columns)\n",
    "result.rename(columns={0: \"Exposure\", 1: \"Band\", 2: \"CCD\", \n",
    "                       3: \"Corner1 Ra\", 4: \"Corner1 Dec\", \n",
    "                       5: \"Corner2 Ra\", 6: \"Corner2 Dec\", \n",
    "                       7: \"Corner3 Ra\", 8: \"Corner3 Dec\",\n",
    "                       9: \"Corner4 Ra\", 10: \"Corner4 Dec\"})\n",
    "# Print the final result\n",
    "# df.rename(columns={\"A\": \"a\", \"B\": \"c\"})\n",
    "print(result.iloc[[1]])\n",
    "expra = 195.555196\n",
    "expdec = -23.265400\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "CCDs = []\n",
    "CCD_rz1 = []\n",
    "CCD_rz2 = []\n",
    "CCD_rz3 = []\n",
    "CCD_rz4 = []\n",
    "CCD_rz5 = []\n",
    "CCD_rz6 = []\n",
    "CCD_rz7 = []\n",
    "CCD_rz8 = []\n",
    "\n",
    "#zero the corners \n",
    "for i in range(len(result)):\n",
    "    CCDs.append(float(result[2][i]))\n",
    "    CCD_rz1.append((float(result[3][i])-expra)*np.cos(expdec*2*np.pi/360))\n",
    "    CCD_rz3.append((float(result[5][i])-expra)*np.cos(expdec*2*np.pi/360))\n",
    "    CCD_rz5.append((float(result[9][i])-expra)*np.cos(expdec*2*np.pi/360))\n",
    "    CCD_rz7.append((float(result[7][i])-expra)*np.cos(expdec*2*np.pi/360))\n",
    "    CCD_rz2.append(float(result[4][i])-expdec)\n",
    "    CCD_rz4.append(float(result[6][i])-expdec)\n",
    "    CCD_rz6.append(float(result[10][i])-expdec)\n",
    "    CCD_rz8.append(float(result[8][i])-expdec)\n",
    "# print(CCD_rz1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "#save a file that shows CCD and then all corners\n",
    "def lists_to_csv(lists, column_names, file_path):\n",
    "    # Transpose the lists to convert rows into columns\n",
    "    print(lists)\n",
    "    columns = list(zip(*lists))\n",
    "    print(columns)\n",
    "    # Write the transposed lists to a CSV file\n",
    "    with open(file_path, 'w', newline='') as file:\n",
    "        writer = csv.writer(file)\n",
    "        \n",
    "        # Write column names as the first row\n",
    "        writer.writerow(column_names)\n",
    "        \n",
    "        # Write the data rows\n",
    "        for column in columns:\n",
    "            print(column)\n",
    "            writer.writerow(column)\n",
    "        \n",
    "lists = [CCDs, CCD_rz1, CCD_rz2, CCD_rz3, CCD_rz4, CCD_rz5, CCD_rz6, CCD_rz7, CCD_rz8]\n",
    "column_names = ['CCD', \"Corner 1 Ra\", \"Corner 1 dec\", \"Corner 2 Ra\", \"Corner 3 Dec\", \"Corner 4 Ra\", \"Corner 4 Dec\"]\n",
    "output_file = 'zeroed_corners.list'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(1.0, -0.45255896810330004, 0.97532, -0.15782642156218038, 0.9741399999999985, -0.15843275371326782, 0.8272499999999994, -0.453541961136149, 0.8282999999999987)\n",
      "(3.0, 0.16388790570306117, 0.9734499999999997, 0.4586296390949581, 0.9731699999999996, 0.45890524461819626, 0.8261399999999988, 0.16377766349378678, 0.8265600000000006)\n",
      "(4.0, -0.6078075593382185, 0.812149999999999, -0.31281778097541507, 0.8108000000000004, -0.3137180923512951, 0.6637899999999988, -0.6090753447450566, 0.66507)\n",
      "(5.0, -0.29940497884493433, 0.8108000000000004, -0.004102847555810001, 0.81006, -0.004415200482130934, 0.663059999999998, -0.3002226085638455, 0.663809999999998)\n",
      "(6.0, 0.009383449380888443, 0.8099999999999987, 0.30470395437154113, 0.8093299999999992, 0.3048050097300644, 0.6623300000000008, 0.008988414797572557, 0.6630000000000003)\n",
      "(7.0, 0.3180157011435247, 0.8093199999999996, 0.6130146663570792, 0.8092399999999991, 0.6135658774035555, 0.6621500000000005, 0.31819943815899066, 0.662309999999998)\n",
      "(8.0, -0.7633960640517634, 0.6488699999999987, -0.46825010922579946, 0.6474100000000007, -0.4692974102140628, 0.5002199999999988, -0.7647465311155965, 0.5016800000000003)\n",
      "(9.0, -0.4547913728414588, 0.6475000000000009, -0.15913095437212743, 0.6463000000000001, -0.15983834188173815, 0.49906000000000006, -0.4559672897405509, 0.5002999999999993)\n",
      "(10.0, -0.14575489964475558, 0.6462599999999981, 0.15018112434781397, 0.6455699999999993, 0.1500892558400679, 0.4983299999999993, -0.1463520449450658, 0.4990099999999984)\n",
      "(11.0, 0.16357555277674024, 0.645620000000001, 0.45923597124607163, 0.6451799999999999, 0.45960344527702973, 0.4979699999999987, 0.16345612371668863, 0.49838000000000093)\n",
      "(12.0, 0.47275901558582667, 0.6451199999999986, 0.7679141572625678, 0.6451799999999999, 0.7685847973690958, 0.49798999999999793, 0.4731081159152565, 0.4979200000000006)\n",
      "(13.0, -0.9193061085424326, 0.4858000000000011, -0.6240407246563909, 0.4837999999999987, -0.6253176969140324, 0.33645999999999887, -0.9208219389201772, 0.3385399999999983)\n",
      "(14.0, -0.6107473515859879, 0.4839599999999997, -0.3149123829519416, 0.4826200000000007, -0.31578513377551615, 0.33518000000000114, -0.6120151369928261, 0.33662999999999954)\n",
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      "(18.0, 0.6279065514622219, 0.4808899999999987, 0.9231811221990407, 0.48153999999999897, 0.9240171256195063, 0.33427000000000007, 0.6285036967625581, 0.3335399999999993)\n",
      "(19.0, -0.9208678731740633, 0.3217700000000008, -0.625345257466338, 0.31976999999999833, -0.626511987514679, 0.1722999999999999, -0.922337769297948, 0.17446999999999946)\n",
      "(20.0, -0.6120886317990438, 0.31951000000000107, -0.3158035074770445, 0.31803000000000026, -0.3166211371959557, 0.1704100000000004, -0.6132921092504676, 0.17203999999999908)\n",
      "(21.0, -0.30231721054037214, 0.3181699999999985, -0.0053890066642026035, 0.31725000000000136, -0.0057656675459379445, 0.1695600000000006, -0.3030889060054234, 0.17054999999999865)\n",
      "(22.0, 0.008179971929438572, 0.3173099999999991, 0.305098988954857, 0.3167200000000001, 0.30511736265638534, 0.16909000000000063, 0.007775750495371579, 0.16962999999999795)\n",
      "(23.0, 0.31878739660854977, 0.31670000000000087, 0.6151000814828547, 0.3166499999999992, 0.6155410503200305, 0.16917000000000115, 0.3188608914147414, 0.16909000000000063)\n",
      "(24.0, 0.6284302019563666, 0.3166799999999981, 0.9239895650671747, 0.31725000000000136, 0.924724513129117, 0.16994000000000042, 0.6288895444950707, 0.16920999999999964)\n",
      "(25.0, -1.0773934366665971, 0.15870999999999924, -0.7816135891372141, 0.156130000000001, -0.7828538139917468, 0.00870000000000104, -1.078918453895145, 0.011409999999997922)\n",
      "(26.0, -0.7681181053497645, 0.15620999999999796, -0.4718605415800969, 0.15431999999999846, -0.4727976003590858, 0.006669999999999732, -0.7693858907566027, 0.008759999999998769)\n",
      "(27.0, -0.45832831038956456, 0.15409999999999968, -0.1612163694979029, 0.15275000000000105, -0.1618043279474359, 0.004979999999999762, -0.4592653691685274, 0.006460000000000576)\n",
      "(28.0, -0.1475095881426296, 0.15282999999999802, 0.14996063992923908, 0.15221000000000018, 0.14982283716760694, 0.004439999999998889, -0.14799649123366543, 0.005069999999999908)\n",
      "(29.0, 0.16329076040275095, 0.15194999999999936, 0.46041188814518985, 0.15186999999999884, 0.4606323725637647, 0.004239999999999355, 0.1631529576411188, 0.004179999999998074)\n",
      "(30.0, 0.4741462300527687, 0.15187999999999846, 0.7704129806731875, 0.15238000000000085, 0.7709917522719694, 0.004929999999998103, 0.47437590132212076, 0.004229999999999734)\n",
      "(31.0, 0.7837614748482538, 0.15250999999999948, 1.0795321355268594, 0.15383999999999887, 1.0804416337535168, 0.006519999999998305, 0.7843586201485901, 0.005079999999999529)\n",
      "(32.0, -1.0792124331199116, -0.005440000000000111, -0.7831018589626533, -0.008369999999999322, -0.784342083817186, -0.1558099999999989, -1.0808293188561795, -0.15274000000000143)\n",
      "(33.0, -0.7696155620259809, -0.008330000000000837, -0.4729813373745779, -0.010480000000001155, -0.47382652764579464, -0.15812000000000026, -0.7707731052235447, -0.15578000000000003)\n",
      "(34.0, -0.4594674798855739, -0.010600000000000165, -0.16196050441062249, -0.011939999999999173, -0.16244740750165831, -0.15970000000000084, -0.46024836220137627, -0.1582499999999989)\n",
      "(35.0, -0.14837315211542687, -0.012000000000000455, 0.14947373683817713, -0.012710000000001997, 0.14928999982271113, -0.1604700000000001, -0.14887842890801714, -0.15978000000000137)\n",
      "(36.0, 0.16283141786402067, -0.012930000000000774, 0.4603383933389721, -0.012710000000001997, 0.4605680646083503, -0.1603500000000011, 0.1627395493562746, -0.16067999999999927)\n",
      "(37.0, 0.47400842729113657, -0.012689999999999202, 0.770661025644094, -0.012000000000000455, 0.7711203681827982, -0.15944999999999965, 0.4741462300527687, -0.16034000000000148)\n",
      "(38.0, 0.7842943121931496, -0.012029999999999319, 1.0803956994996569, -0.010729999999998796, 1.0811949555170135, -0.1580200000000005, 0.7847077204779938, -0.15948000000000206)\n",
      "(39.0, -0.9259022673983854, -0.17144000000000048, -0.6293139770008424, -0.1740099999999991, -0.6301683541228624, -0.3214900000000007, -0.9271424922529181, -0.31876000000000104)\n",
      "(40.0, -0.6158644274672789, -0.1741899999999994, -0.31842175994774186, -0.17604000000000042, -0.31900053154649766, -0.3236600000000003, -0.6167096177384956, -0.3216600000000014)\n",
      "(41.0, -0.30472416544324576, -0.17605999999999966, -0.006610857817180797, -0.17708000000000013, -0.006932397594278948, -0.32476000000000127, -0.3052661896389188, -0.32368999999999915)\n",
      "(42.0, 0.007031615582652003, -0.17733000000000132, 0.3051357363579398, -0.17759000000000214, 0.30505305470097094, -0.325210000000002, 0.006700888954776635, -0.3249999999999993)\n",
      "(43.0, 0.3186955281008037, -0.177620000000001, 0.6161657561726724, -0.1770700000000005, 0.6163678668897189, -0.32456000000000174, 0.3186312201453893, -0.3252500000000005)\n",
      "(44.0, 0.6295969320047076, -0.17708999999999975, 0.9262035961037789, -0.1758500000000005, 0.9267731808517836, -0.32316000000000145, 0.6297898558709769, -0.324580000000001)\n",
      "(45.0, -0.9273721635222701, -0.3356199999999987, -0.6303612779891057, -0.33830000000000027, -0.6311237866033796, -0.48564000000000007, -0.9285572672721395, -0.48288000000000153)\n",
      "(46.0, -0.6170770917694799, -0.33858999999999995, -0.319331258174373, -0.34056, -0.3198365349669633, -0.48800999999999917, -0.6178487872345311, -0.4859100000000005)\n",
      "(47.0, -0.30540399240055094, -0.3407000000000018, -0.007033452952802224, -0.34198999999999913, -0.007437674386869216, -0.4894600000000011, -0.30599195085011005, -0.48813000000000173)\n",
      "(48.0, 0.00630585437148686, -0.3420799999999993, 0.30466720696845834, -0.34220000000000184, 0.3045937121622667, -0.4896400000000014, 0.006002688295943143, -0.4895700000000005)\n",
      "(49.0, 0.31858528589152935, -0.3421699999999994, 0.6163494931881646, -0.3415299999999988, 0.6164505485466878, -0.48884999999999934, 0.31841992257759166, -0.489609999999999)\n",
      "(50.0, 0.6298541638263913, -0.34140999999999977, 0.9268558625087524, -0.33999999999999986, 0.9274162604059799, -0.48725999999999914, 0.6299735928864428, -0.4887499999999996)\n",
      "(51.0, -0.773124939021755, -0.5014399999999988, -0.47544341338208873, -0.5041200000000003, -0.476132427190145, -0.6513099999999987, -0.7741722400100184, -0.6486200000000011)\n",
      "(52.0, -0.46195711644541637, -0.5040699999999987, -0.16361413754997323, -0.5057900000000011, -0.16402754583481743, -0.6530300000000011, -0.4626001959996127, -0.6512700000000002)\n",
      "(53.0, -0.14987060879164324, -0.5057800000000015, 0.14881228358245252, -0.5065200000000019, 0.1485274912084371, -0.6537600000000019, -0.15030239077801577, -0.6530200000000015)\n",
      "(54.0, 0.16230776736987595, -0.5067200000000014, 0.4606874936684019, -0.5064899999999994, 0.4605588777575731, -0.6536800000000014, 0.16200460129433225, -0.6539500000000018)\n",
      "(55.0, 0.4742105380081831, -0.5063099999999991, 0.7719012504986267, -0.5051200000000016, 0.7721860428726159, -0.65231, 0.4741554169035198, -0.6535000000000011)\n",
      "(56.0, -0.6184734930871729, -0.6669799999999988, -0.32015807474406144, -0.6692800000000005, -0.3207092857905378, -0.8162699999999994, -0.6193186833584158, -0.8140600000000013)\n",
      "(57.0, -0.3067636463151352, -0.6692900000000002, -0.007970511731791136, -0.670539999999999, -0.00833798576274926, -0.817540000000001, -0.30725973625694825, -0.8162899999999986)\n",
      "(58.0, 0.005708709071150533, -0.6707199999999993, 0.30448346995296627, -0.6707099999999997, 0.3043916014452202, -0.8177100000000017, 0.005442290398689573, -0.817730000000001)\n",
      "(59.0, 0.31800651429274746, -0.670770000000001, 0.6163311194866101, -0.6698500000000003, 0.6164872959497706, -0.8169299999999993, 0.3178687115311153, -0.8177799999999991)\n",
      "(60.0, -0.46331677036000063, -0.8322299999999991, -0.16449607522432494, -0.8341199999999986, -0.16501972571844353, -0.9810100000000013, -0.4641068395266063, -0.9792699999999996)\n",
      "(62.0, 0.16177493002498014, -0.8348300000000002, 0.46059562516065583, -0.8345899999999986, 0.4605588777575731, -0.9816099999999999, 0.16146257709865922, -0.9817099999999996)\n",
      "CSV file 'zeroed_corners.list' has been created.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "lists_to_csv(lists, column_names, output_file)\n",
    "print(f\"CSV file '{output_file}' has been created.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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