Fermi_GBM-checkpoint.ipynb 189 KB
Newer Older
toastmaker's avatar
toastmaker committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from astropy.io import fits\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: C:/Users/Admin/Documents/Lab/glg_ctime_b0_bn200224416_v00.pha\n",
      "No.    Name      Ver    Type      Cards   Dimensions   Format\n",
      "  0  PRIMARY       1 PrimaryHDU      37   ()      \n",
      "  1  EBOUNDS       1 BinTableHDU     58   8R x 3C   [1I, 1E, 1E]   \n",
      "  2  SPECTRUM      1 BinTableHDU     72   14824R x 5C   [8I, 1E, 1I, 1D, 1D]   \n",
      "  3  GTI           1 BinTableHDU     44   1R x 2C   [1D, 1D]   \n"
     ]
    }
   ],
   "source": [
    "#from https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/current/\n",
    "fname=\"/home/limu/Downloads/glg_healpix_all_bn200224416_v01.fit\"\n",
    "fname=\"C:/Users/Admin/Documents/Lab/glg_trigdat_all_bn200224416_v01.fit\"\n",
    "fname=\"C:/Users/Admin/Documents/Lab/glg_ctime_b0_bn200224416_v00.pha\"\n",
    "fits.info(fname)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### from time-resolved (8-bin) spectra"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200412381/current/glg_ctime_n5_bn200412381_v00.pha [Done]\n"
     ]
    }
   ],
   "source": [
    "fname=\"https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn%s/current/glg_ctime_n%i_bn%s_v00.pha\" #NaI det spectra\n",
    "fname2=\"https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn%s/current/glg_ctime_b%i_bn%s_v00.pha\" #BGO det\n",
    "bid=\"200412381\"\n",
    "ndet=5 #from 0 to 11\n",
    "dd=fits.getdata(fname%(bid,ndet,bid),ext=2)\n",
    "times=np.array([d[3] for d in dd])\n",
    "allcurves=np.array([d[0] for d in dd])\n",
    "expo=times[1:]-times[:-1] #time of integration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([136,  99, 124,  54,  12,   6,  11,  26], dtype=uint16), 0.25459394, 0, 608374326.779414, 608374327.035428)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#bid='200224416'\n",
    "dd2=fits.getdata(fname%(bid,0,bid),ext=2)\n",
    "times2=np.array([d[3] for d in dd2]) #same as times\n",
    "allcurves2=np.array([d[0] for d in dd2])\n",
    "dd2[5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(989.6795001029968, 1029.6795001029968)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t0=times[0]\n",
    "tmax=times[np.argmax(allcurves[:-1,4]/expo)]-t0\n",
    "pl.plot(times[:-1]-t0,allcurves[:-1,3]/expo) #energy channel 4\n",
    "pl.plot(times[:-1]-t0,allcurves[:-1,4]/expo) #energy channel 5\n",
    "pl.xlim(tmax-20,tmax+20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(989.6795001029968, 1029.6795001029968)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#t0=times[0]\n",
    "#tmax=times[np.argmax(allcurves[:-1,4]/expo)]-t0\n",
    "pl.plot(times[:-1]-t0,allcurves2[:-1,3]/expo)\n",
    "pl.plot(times[:-1]-t0,allcurves2[:-1,4]/expo)\n",
    "pl.xlim(tmax-20,tmax+20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x143b8b91320>]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sel1=abs(times[:-1]-t0-tmax)<40\n",
    "exsel=expo[sel1]\n",
    "emin=3\n",
    "c1,c2=allcurves[:-1,emin][sel1]/exsel,allcurves2[:-1,emin][sel1]/exsel\n",
    "c1-=c1[-100:].mean()\n",
    "c2-=c2[-100:].mean()\n",
    "mcurv=np.correlate(c1,c2,\"same\")\n",
    "pl.plot(mcurv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### from event list - user defined binning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname3=\"https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn%s/current/glg_tte_n%i_bn%s_v00.fit\"\n",
    "elist=fits.getdata(fname3%(bid,5,bid),ext=2)\n",
    "elist2=fits.getdata(fname3%(bid,3,bid),ext=2)\n",
    "#elist\n",
    "if False:\n",
    "    np.savez(\"tdata.npz\",[elist,elist2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "pack=np.load(\"tdata.npz\",allow_pickle=True)\n",
    "elist,elist2=pack['arr_0']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def lcurve(time,fac=600,sub=0):\n",
    "    #fac: grouping factor - binning = 1/fac seconds\n",
    "    tlab=(time*fac).astype(int)\n",
    "    pos=np.r_[0,np.where(tlab[1:]-tlab[:-1])[0]]\n",
    "    cnt=pos[1:]-pos[:-1]\n",
    "    if sub!=0: #baseline\n",
    "        basel=np.median(cnt[sub:])\n",
    "        cnt=cnt.astype(float)-basel\n",
    "    return np.r_[tlab[0]:tlab[0]+len(cnt)]/fac,cnt*fac\n",
    "\n",
    "t0=elist['TIME'][0]\n",
    "tevs=elist['TIME']-t0\n",
    "t,r=lcurve(tevs,50)\n",
    "#pl.plot(t,r)\n",
    "tmax=t[np.argmax(r)]\n",
    "sel2=abs(tevs-tmax)<40\n",
    "evts=elist['PHA'][sel2]\n",
    "\n",
    "tevs2=elist2['TIME']-t0\n",
    "sel22=abs(tevs2-tmax)<40\n",
    "evts2=elist2['PHA'][sel22]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bin1,cur1=lcurve(tevs[sel2],100,-200)\n",
    "pl.plot(bin1,cur1)\n",
    "pl.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bin2,cur2=lcurve(tevs2[sel22],100,-200)\n",
    "pl.plot(bin2,cur2)\n",
    "pl.grid()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#len(cnt)\n",
    "qmid,qsiz=40,15\n",
    "nor1,nor2=1/cur1.sum(),1/cur2.sum()\n",
    "fac=100 #10 ms\n",
    "cfunc=np.correlate(cur1[(qmid-qsiz)*fac:(qmid+qsiz)*fac]*nor1,cur2*nor2,\"valid\")\n",
    "pl.plot(cfunc)\n",
    "cmax=np.argmax(cfunc)\n",
    "#pl.xlim(cmax-500,cmax+500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[2498.450272220944,\n",
       " -6.433087609995603,\n",
       " 316.3463276396904,\n",
       " 263.76350683365615,\n",
       " -0.00038578135319862966,\n",
       " 5.819566757674255e-08]"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#fitting the maxima for sub-bin precission\n",
    "fun1=lambda p:np.exp(-(p[0]-x)/p[2]+p[1])*(x<p[0])+(x>=p[0])*np.exp(-(x-p[0])/p[3]+p[1])+p[4]\n",
    "def fit_corr(cfunc,csiz=200,doplot=True):\n",
    "    cmax=np.argmax(cfunc)\n",
    "    p0=[cmax,np.log(cfunc.max()),300,250,0]\n",
    "    from scipy import optimize as op\n",
    "    x=np.r_[cmax-csiz:cmax+csiz]\n",
    "    bst=op.fmin(lambda p:((cfunc[cmax-csiz:cmax+csiz]-fun1(p))**2).sum(),p0,disp=0)\n",
    "    #pl.xlim(cmax-500,cmax+500)\n",
    "    if doplot:\n",
    "        pl.plot(x,cfunc[cmax-csiz:cmax+csiz],x,fun1(p0),x,fun1(bst))\n",
    "    #pl.plot(x,fun1(p0))\n",
    "    chi2=((cfunc[cmax-csiz:cmax+csiz]-fun1(bst))**2).sum()\n",
    "    return list(bst)+[chi2]\n",
    "\n",
    "fit_corr(cfunc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2498.45027222, 2496.42958572, 2498.41552386, 2498.4332656 ,\n",
       "       2498.36405353, 2498.41444912, 2498.38684743, 2498.3932058 ,\n",
       "       2498.37641904, 2498.42997924])"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fac=100\n",
    "# testing small time shifts in both curves = change of binning\n",
    "res=[]\n",
    "for i in range(10):\n",
    "    dt=i*0.1/fac\n",
    "    bin1,cur1=lcurve(tevs[sel2]+dt,fac,-2*fac)\n",
    "    bin2,cur2=lcurve(tevs2[sel22]+dt,fac,-2*fac)\n",
    "    nor1,nor2=1/cur1.sum(),1/cur2.sum()\n",
    "    res.append(fit_corr(np.correlate(cur1[(qmid-qsiz)*fac:(qmid+qsiz)*fac]*nor1,cur2*nor2,\"valid\"),doplot=False))\n",
    "res=np.array(res)\n",
    "res[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f88d28add60>]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dt,dt2=0,2.\n",
    "bin1,cur1=lcurve(tevs[sel2]+dt,fac,-2*fac)\n",
    "bin2,cur2=lcurve(tevs2[sel22]+dt+dt2,fac,-2*fac)\n",
    "nor1,nor2=1/cur1.sum(),1/cur2.sum()\n",
    "pl.plot(bin1[(qmid-qsiz)*fac:(qmid+qsiz)*fac],cur1[(qmid-qsiz)*fac:(qmid+qsiz)*fac]*nor1)\n",
    "pl.plot(bin2[(qmid-qsiz)*fac:(qmid+qsiz)*fac],cur2[(qmid-qsiz)*fac:(qmid+qsiz)*fac]*nor2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2499.76181528, 2500.18839719, 2500.02423928, 2499.44702508,\n",
       "       2499.45858562, 2499.67846459, 2500.11168383, 2499.93440118,\n",
       "       2499.55382381, 2499.76181528])"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shifting 2nd curve wrt 1st one\n",
    "fac=100\n",
    "gres=[]\n",
    "lcshift=np.r_[0:200./fac:10j]\n",
    "for dt2 in lcshift:    \n",
    "    res=[]\n",
    "    for i in range(10):\n",
    "        dt=i*0.1/fac\n",
    "        bin1,cur1=lcurve(tevs[sel2]+dt,fac,-2*fac)\n",
    "        bin2,cur2=lcurve(tevs2[sel22]+dt+dt2,fac,-2*fac)\n",
    "        nor1,nor2=1/cur1.sum(),1/cur2.sum()\n",
    "        res.append(fit_corr(np.correlate(cur2[(qmid-qsiz)*fac:(qmid+qsiz)*fac]*nor2,cur1*nor1,\"valid\"),doplot=False))\n",
    "    gres.append(res)\n",
    "gres=np.array(gres)\n",
    "gres[:,:,0].mean(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ErrorbarContainer object of 3 artists>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pl.errorbar(lcshift,gres[:,:,0].mean(1),gres[:,:,0].std(1)/np.sqrt(10),fmt='s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([1.00545489, 0.85076897, 0.28109647, 0.69282169, 0.87527583,\n",
       "        0.87665498, 0.92077662, 1.01057198, 0.68109019, 0.7133978 ]),\n",
       " array([0.59381367, 0.90006216, 0.89952512, 0.60114414, 0.87905743,\n",
       "        0.02751533, 0.90702352, 0.86531695, 0.72736948, 0.59381367]))"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gres[:,:,0].std(0),gres[:,:,0].std(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### something (completely) different"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/glg_lc_chan12_bn200224416.pdf', 'https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/glg_lc_chan34_bn200224416.pdf', 'https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/glg_lc_chan567_bn200224416.pdf', 'https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/glg_lc_chantot_bn200224416.pdf', 'https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/glg_lc_tot_bn200224416.pdf']\n"
     ]
    }
   ],
   "source": [
    "# directory listing on the server\n",
    "if False:\n",
    "    import ftplib\n",
    "    ftp = ftplib.FTP(\"heasarc.gsfc.nasa.gov\")\n",
    "    ftp.login(\"anonymous\", \"ftplib-example-1\")\n",
    "\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def get_url_paths(url, ext='', params={}):\n",
    "    response = requests.get(url, params=params)\n",
    "    if response.ok:\n",
    "        response_text = response.text\n",
    "    else:\n",
    "        return response.raise_for_status()\n",
    "    soup = BeautifulSoup(response_text, 'html.parser')\n",
    "    parent = [url + node.get('href') for node in soup.find_all('a') if node.get('href').endswith(ext)]\n",
    "    return parent\n",
    "\n",
    "url = 'https://heasarc.gsfc.nasa.gov/FTP/fermi/data/gbm/bursts/2020/bn200224416/quicklook/'\n",
    "ext = 'pdf'\n",
    "result = get_url_paths(url, ext)\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# tipovat GRB200412381, GRB200125864, GRB200313071 - nejjasnejsi"
   ]
  }
 ],
 "metadata": {
  "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}