Marvin Workshop (Shanghai 2016)

This Jupyter notebook will guide you through the installation of Marvin and will give you a hint of its capabilities. But enough talk, let's begin by installing Marvin. For that, run

pip install sdss-marvin

Now that you have installed Marvin, it's time to take your first steps. If you want to learn more about how Marvin works, then go see General Info to learn about Marvin Modes, Versions, or Downloading. If you just want to play, then read on.

First let's run some boilerplate code for Python 2/3 compatibility and plotting in the notebook:


In [1]:
from __future__ import print_function, division, absolute_import
import matplotlib.pyplot as plt
%matplotlib inline

Now, let’s import Marvin:


In [2]:
import marvin


INFO: No release version set. Setting default to MPL-5

Let's see what release we're using. Releases can be either MPLs (e.g. MPL-5) or DRs (e.g. DR13), however DRs are currently disabled in Marvin.


In [3]:
marvin.config.release


Out[3]:
'MPL-5'

On intial import, Marvin will set the default data release to use the latest MPL available, currently MPL-5. You can change the version of MaNGA data using the Marvin Config.


In [4]:
from marvin import config
config.setRelease('MPL-4')

print('MPL:', config.release)


MPL: MPL-4

In general, we recommend using MPL-5 unless you have already stated a science project using MPL-4. So, let's go back to MPL-5


In [5]:
config.setMPL('MPL-5')
print('MPL:', config.release)


MPL: MPL-5

My First Cube

Now let’s play with a Marvin Cube!

Import the Marvin-Tools Cube class:


In [6]:
from marvin.tools.cube import Cube

Let's load a cube from a local file. Start by specifying the full path and name of the file, such as:

./manga-8485-1901-LOGCUBE.fits.gz

EDIT Next Cell if necessary


In [7]:
#----- EDIT THIS CELL -----#

# Point filename to the location of the Cube you want to load
filename = './manga-8485-1901-LOGCUBE.fits.gz'
drpall = './drpall-v2_0_1.fits'

Create a Cube object:


In [8]:
cc = Cube(filename=filename, drpall=drpall)


WARNING: local mode failed. Trying remote now.
---------------------------------------------------------------------------
MarvinError                               Traceback (most recent call last)
<ipython-input-8-78cdda2d98b7> in <module>()
----> 1 cc = Cube(filename=filename, drpall=drpall)

/Users/Brian/Work/github_projects/Marvin/python/marvin/tools/cube.pyc in __init__(self, *args, **kwargs)
     74         self._drpall_data = None
     75 
---> 76         super(Cube, self).__init__(*args, **kwargs)
     77 
     78         if self.data_origin == 'file':

/Users/Brian/Work/github_projects/Marvin/python/marvin/core/core.pyc in __init__(self, *args, **kwargs)
    108             except Exception:
    109                 warnings.warn('local mode failed. Trying remote now.', MarvinUserWarning)
--> 110                 self._doRemote()
    111 
    112         # Sanity check to make sure data_origin has been properly set.

/Users/Brian/Work/github_projects/Marvin/python/marvin/core/core.pyc in _doRemote(self)
    158 
    159         if self.filename:
--> 160             raise MarvinError('filename not allowed in remote mode.')
    161         else:
    162             self.mode = 'remote'

MarvinError: filename not allowed in remote mode.

Now we have a Cube object:


In [9]:
print(cc)


<Marvin Cube (plateifu='8485-1901', mode='local', data_origin='file')>

How about we look at some meta-data


In [10]:
cc.ra, cc.dec, cc.header['SRVYMODE']


Out[10]:
(232.544703894, 48.6902009334, 'MaNGA dither')

...and the quality and target bits


In [11]:
cc.targetbit


Out[11]:
{'bits': [2336L], 'names': ['MNGTARG1']}

In [12]:
cc.qualitybit


Out[12]:
('DRP3QUAL', 0L, None)

Get a Spaxel

Cubes have several functions currently available: getSpaxel, getMaps, getAperture. Let's look at spaxels. We can retrieve spaxels from a cube easily via indexing. In this manner, spaxels are 0-indexed from the lower left corner. Let's get spaxel (x=10, y=10):


In [13]:
spax = cc[10,10]


WARNING: local mode failed. Trying remote now.

In [14]:
# print the spaxel to see the x,y coord from the lower left, and the coords relative to the cube center, x_cen/y_cen
spax


Out[14]:
<Marvin Spaxel (x=10, y=10; x_cen=-7, y_cen=-7>

Spaxels have a spectrum associated with it. It has the wavelengths and fluxes of each spectral channel:

Alternatively grab a spaxel with getSpaxel. Use the xyorig keyword to set the coordinate origin point: 'lower' or 'center'. The default is "center"


In [15]:
# let's grab the central spaxel
spax = cc.getSpaxel(x=0, y=0)
spax


Out[15]:
<Marvin Spaxel (x=17, y=17; x_cen=0, y_cen=0>

In [16]:
spax.spectrum.wavelength


Out[16]:
array([  3621.59598486,   3622.42998417,   3623.26417553,   3624.098559  ,
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         4318.17262624,   4319.16703671,   4320.16167618,   4321.1565447 ,
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         4422.82748717,   4423.84599809,   4424.86474356,   4425.88372363,
         4426.90293835,   4427.92238779,   4428.94207199,   4429.961991  ,
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         4447.3365939 ,   4448.3607489 ,   4449.38513975,   4450.4097665 ,
         4451.4346292 ,   4452.45972792,   4453.4850627 ,   4454.5106336 ,
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         4517.51912676,   4518.55944375,   4519.6000003 ,   4520.64079649,
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         4542.55296739,   4543.59904929,   4544.6453721 ,   4545.69193585,
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         4550.92837085,   4551.97638148,   4553.02463346,   4554.07312683,
         4555.12186166,   4556.17083799,   4557.22005589,   4558.2695154 ,
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         4563.52043921,   4564.57134961,   4565.62250202,   4566.6738965 ,
         4567.72553309,   4568.77741186,   4569.82953286,   4570.88189615,
         4571.93450178,   4572.98734981,   4574.0404403 ,   4575.0937733 ,
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         4614.23809088,   4615.30068079,   4616.3635154 ,   4617.42659477,
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         4627.00533236,   4628.07086238,   4629.13663778,   4630.2026586 ,
         4631.26892492,   4632.33543678,   4633.40219424,   4634.46919736,
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         4713.02778402,   4714.11312373,   4715.19871336,   4716.284553  ,
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         4726.06836898,   4727.15671174,   4728.24530512,   4729.33414919,
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         4805.0731109 ,   4806.17964726,   4807.28643844,   4808.3934845 ,
         4809.50078549,   4810.60834148,   4811.71615252,   4812.82421868,
         4813.93254   ,   4815.04111656,   4816.1499484 ,   4817.25903559,
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         4831.70043246,   4832.8131007 ,   4833.92602516,   4835.03920592,
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         4967.06679223,   4968.21063331,   4969.3547378 ,   4970.49910576,
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         5008.411453  ,   5009.56481513,   5010.71844287,   5011.87233627,
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         5022.26934182,   5023.42589522,   5024.58271496,   5025.7398011 ,
         5026.89715369,   5028.05477281,   5029.2126585 ,   5030.37081085,
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         5115.64030007,   5116.8183554 ,   5117.99668202,   5119.17528   ,
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         5134.52177503,   5135.70417848,   5136.88685423,   5138.06980232,
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         5210.74715403,   5211.94711105,   5213.1473444 ,   5214.34785414,
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         5249.28315547,   5250.49198675,   5251.7010964 ,   5252.9104845 ,
         5254.1201511 ,   5255.33009627,   5256.54032007,   5257.75082257,
         5258.96160382,   5260.17266391,   5261.38400288,   5262.5956208 ,
         5263.80751775,   5265.01969377,   5266.23214894,   5267.44488332,
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         5278.37206782,   5279.58759784,   5280.80340778,   5282.0194977 ,
         5283.23586767,   5284.45251775,   5285.66944801,   5286.88665851,
         5288.10414931,   5289.32192049,   5290.5399721 ,   5291.7583042 ,
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         5522.04574445,   5523.31738887,   5524.58932613,   5525.8615563 ,
         5527.13407944,   5528.40689563,   5529.68000493,   5530.9534074 ,
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         5624.70823974,   5626.0035258 ,   5627.29911013,   5628.59499283,
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In [17]:
spax.spectrum.flux


Out[17]:
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        0.84498781,  0.87867945,  0.89525151,  0.87062711,  0.93382537,
        0.90642923,  0.90854561,  0.90207434,  0.85291713,  0.88637418,
        0.88947934,  0.86103672,  0.88213962,  0.91793293,  0.92452222,
        0.93563783,  0.89526755,  0.8874526 ,  0.86150038,  0.78529555,
        0.75334477,  0.76584542,  0.78081787,  0.82319087,  0.90519333,
        0.97103333,  0.91709727,  0.89358741,  0.85945588,  0.85776979,
        0.89139163,  0.86213917,  0.87685466,  0.86927831,  0.85492218,
        0.88061339,  0.90745205,  0.93014604,  0.89548016,  0.89671016,
        0.89237189,  0.88753557,  0.93256193,  0.88883197,  0.86963248,
        0.87341422,  0.84671503,  0.86850739,  0.87131351,  0.8642602 ,
        0.8304199 ,  0.85051751,  0.91284686,  0.87972921,  0.83150637,
        0.87763298,  0.8732419 ,  0.87122405,  0.91061324,  0.8932398 ,
        0.91136754,  0.95445389,  0.87049103,  0.88643652,  0.86859822,
        0.83499396,  0.80031192,  0.78285557,  0.78292847,  0.8263042 ,
        0.84072787,  0.84467727,  0.86662781,  0.87346685,  0.91270965,
        0.85442322,  0.86566037,  0.89090055,  0.82234395,  0.87255359,
        0.85992628,  0.84892714,  0.8388496 ,  0.83654004,  0.81753594,
        0.81487185,  0.79638821,  0.83960384,  0.86499077,  0.85287374,
        0.86302763,  0.8645823 ,  0.81852305,  0.82469279,  0.8065511 ,
        0.72716308,  0.73989463,  0.73028487,  0.71482021,  0.71945924,
        0.70993453,  0.76038498,  0.71033067,  0.71566439,  0.73242587,
        0.72433573,  0.75140101,  0.76884598,  0.84291953,  0.84996623,
        0.84497988,  0.87116802,  0.89613324,  0.92816085,  0.94999957,
        0.96974307,  0.92592925,  0.84995669,  0.83059305,  0.83553141,
        0.79770064,  0.79201132,  0.77194434,  0.85080737,  0.88029313,
        0.87291062,  0.87241954,  0.86828363,  0.87523127,  0.86873746,
        0.85168654,  0.84165472,  0.77472258,  0.80534637,  0.91860127,
        1.05450833,  1.18954778,  1.10917544,  0.93910122,  0.84885031,
        0.78654021,  0.76914912,  0.81110173,  0.81461453,  0.82123351,
        0.84513223,  0.8540284 ,  0.81898731,  0.77779388,  0.82122821,
        0.84430379,  0.83944732,  0.89816302,  0.89075613,  0.89647776,
        0.92875856,  0.9983561 ,  0.95892251,  0.94154972,  0.98505044,
        0.96289754,  0.94043016,  0.95656115,  0.94710416,  0.91241854,
        0.88580936,  0.93804777,  0.91131693,  0.89958656,  0.90244305,
        0.86007875,  0.86110169,  0.84622616,  0.94842118,  0.97720742,
        0.90558827,  0.94094265,  0.85366797,  0.79767501,  0.81049037,
        0.80882764,  0.7886067 ,  0.81471884,  0.85340708,  0.87607902,
        0.88051355,  0.87774992,  0.8849135 ,  0.92958772,  0.88874406,
        0.90749419,  0.89519721,  0.90437287,  0.95100933,  0.92095238,
        0.93972021,  0.91985214,  0.87256962,  0.8841936 ,  0.88770431,
        0.87419909,  0.81624323,  0.84389561,  0.89224559,  0.92138213,
        0.88441229,  0.95239764,  0.99610436,  0.94128823,  0.9358657 ,
        0.85819787,  0.85843593,  0.89715815,  0.93178278,  0.97317547,
        0.97810578,  0.94717377,  0.94759041,  0.92034501,  0.91612613,
        0.94081599,  0.93544996,  0.9234941 ,  0.93874425,  0.93590814,
        0.9544574 ,  0.95778584,  0.89522183,  0.87871468,  0.93509376,
        0.88608575,  0.88942349,  0.96254367,  0.95853007,  0.95691425,
        0.97057801,  0.92359716,  0.9085204 ,  0.92159081,  0.88494319,
        0.9559775 ,  0.97686505,  0.98040605,  0.95088553,  0.93195993,
        1.02212179,  0.98194063,  0.95304197,  0.92117161,  0.8823449 ,
        0.89163399,  0.87104088,  0.92047578,  0.9203701 ,  0.8713693 ,
        0.86303139,  0.90836829,  0.90916622,  0.92328537,  0.93461084,
        0.93909442,  0.92418891,  0.93113118,  0.92160141,  0.90253663,
        0.97922063,  0.98925823,  0.99588943,  1.0014298 ,  1.02377629,
        1.03754377,  1.02210367,  0.93530715,  0.95773268,  0.91190362,
        0.89026886,  0.95057839,  0.98808908,  1.00553155,  1.0525285 ,
        1.02402449,  0.98457885,  0.95444006,  0.95460832,  0.95555609,
        0.9690516 ,  0.96610391,  0.96993428,  0.96378005,  0.95812541,
        0.99293739,  0.98777634,  1.03588319,  0.98922813,  1.02431512,
        1.05690217,  1.03473961,  1.06078267,  1.04171634,  1.0611552 ,
        1.05787349,  1.02087212,  1.07161427,  1.03341007,  0.99901772,
        0.97829998,  0.98068827,  0.99896753,  1.0057863 ,  1.00425756,
        0.99626887,  1.03129196,  1.00998461,  1.01074791,  0.99841189,
        0.97734463,  0.96915472,  0.94270641,  0.92197216,  0.92745572,
        0.88966256,  0.89083004,  0.93679816,  0.92894518,  0.92941803,
        0.95026201,  0.93115258,  0.93332815,  1.00160289,  1.01132715,
        1.0347358 ,  1.01072705,  0.97790736,  0.97745746,  1.00642002,
        0.9745003 ,  0.94442213,  0.97695291,  0.95657963,  0.95231587,
        0.93482298,  0.94236052,  0.98389661,  0.9751184 ,  0.9070484 ,
        0.87791377,  0.97420758,  0.98220849,  0.99063069,  1.05458724,
        1.06974566,  1.03509235,  1.05099809,  1.05640876,  1.07505929,
        0.98297793,  1.01011539,  1.02997875,  0.99399769,  1.01535046,
        1.00921047,  1.00466144,  0.97602504,  0.99912459,  1.01957023,
        1.0177393 ,  1.03864253,  0.98084569,  1.00335991,  0.98235416,
        0.9291023 ,  0.96187878,  0.99103194,  0.96305424,  0.9542309 ,
        0.97019905,  1.01090837,  1.00916076,  1.00473118,  0.97762114,
        0.99796009,  0.97871566,  0.94948727,  0.94481939,  0.94791985,
        0.99424332,  0.99752444,  0.94196427,  0.9754402 ,  0.97940189,
        0.99732476,  0.94673789,  0.96181703,  0.99454749,  1.00537634,
        1.02194667,  1.04563403,  1.06686127,  1.06005776,  1.04758477,
        1.07533443,  1.0461725 ,  1.04786396,  1.08865166,  1.04734123,
        1.01679146,  1.03443038,  1.04946804,  1.09665537,  1.06252706,
        1.01057291,  1.09327722,  1.08095133,  1.07362723,  1.00970423,
        1.02198601,  1.06333447,  1.04022813,  1.05664957,  1.02821529,
        1.03718162,  1.04224396,  1.02357173,  1.01773858,  0.99383289,
        0.9411397 ,  0.61249959,  0.54661655,  0.92411673,  1.03259194,
        0.9942221 ,  0.99134576,  0.97859061,  0.95781589,  0.97048229,
        0.98557478,  1.00716186,  1.05198717,  1.04269433,  1.01384032,
        1.02291453,  1.01283252,  1.00896382,  1.04180348,  1.06196535,
        1.083305  ,  1.05161619,  1.01314878,  1.02897573,  1.04404819,
        0.96570015,  0.94083059,  0.94242775,  0.97410393,  0.98479545,
        1.00169623,  1.01961708,  1.01292551,  1.03626406,  1.02731967,
        1.00394392,  0.98719376,  1.00328624,  1.03261721,  0.99675876,
        0.97063124,  0.96360898,  0.98702192,  1.0118494 ,  1.04651952,
        1.02723646,  0.98599821,  1.01869357,  1.00094962,  0.96611768,
        1.01153708,  1.04290462,  1.02620625,  1.01786768,  0.98780501,
        0.94525319,  0.98754674,  0.97893041,  0.94387954,  0.99830818,
        0.96923912,  0.98147881,  0.97860807,  0.97849947,  0.97232401,
        0.98852587,  1.008636  ,  1.00958121,  1.01351178,  0.99591994,
        0.99484515,  1.0420568 ,  1.03651929,  1.01784635,  1.03530478,
        1.03596914,  1.05613148,  1.05031383,  1.05399549,  1.03126192,
        1.003932  ,  1.00428152,  0.97955436,  0.960733  ,  0.95920146,
        0.96990526,  0.98363161,  0.97879094,  1.01160288,  0.98618263,
        1.01227903,  1.01612592,  0.98351526,  1.00681353,  1.00452495,
        1.0318644 ,  1.04216409,  1.04760849,  1.03641772,  1.04128814,
        1.02895021,  1.0443176 ,  1.07949769,  1.05138183,  1.00821567,
        1.01917219,  1.04460931,  0.99579966,  0.9759798 ,  0.96693879,
        0.99334556,  1.02195323,  1.02308297,  0.99395853,  1.00397038,
        0.98353505,  0.97183228,  0.9332208 ,  0.9763726 ,  1.00084066,
        1.00480998,  1.04789257,  1.01998246,  1.0041995 ,  1.01476157,
        1.05138171,  1.06164134,  1.05172837,  1.02888656,  1.01179767,
        1.05037153,  1.02532351,  1.00298882,  1.00194979,  1.01892519,
        0.96901393,  0.97479934,  1.00922871,  0.98076594,  0.9987002 ,
        1.04595804,  1.0561111 ,  1.04636037,  1.03652346,  1.03288722,
        1.04757977,  1.03965259,  0.98835289,  0.99686253,  1.03204381,
        0.9982115 ,  1.01672399,  1.00234282,  1.02639937,  0.99443388,
        0.93468606,  0.98164135,  0.98087692,  0.99108756,  1.00145769,
        1.00581729,  0.99374056,  1.02134109,  1.03616297,  1.04052639,
        1.04739702,  1.0395844 ,  1.04667151,  0.98826629,  0.95190418,
        1.01494384,  1.04640865,  1.02418697,  1.01295674,  0.98176879,
        0.99329662,  0.99430209,  0.96813738,  0.9954834 ,  0.97808617,
        1.0057714 ,  1.03836679,  1.01952624,  0.97629809,  0.97364902,
        0.96153492,  0.95636058,  0.95674288,  0.96641564,  0.98649377,
        0.96272576,  0.92438197,  0.9345457 ,  0.9621318 ,  0.93545979,
        0.93437952,  0.91042709,  0.88609099,  0.91165102,  0.90651715,
        0.95281637,  1.24721277,  1.79559672,  2.11388588,  1.97005475,
        1.50926614,  1.0366323 ,  0.88882124,  0.88759243,  0.89194316,
        0.8907271 ,  0.88682836,  0.88438427,  0.89129567,  0.91298896,
        0.90983099,  0.92093235,  0.92697644,  0.94891047,  1.01599145,
        0.96738201,  0.94781852,  0.9903419 ,  0.93387842,  0.96737856,
        0.96958399,  0.95087099,  0.96036315,  0.96455413,  0.91912472,
        0.93729383,  0.98790872,  1.00487971,  1.02528858,  1.04701984,
        1.05659938,  1.02563286,  1.03352547,  1.04294288,  1.01243305,
        1.03518045,  1.00644648,  1.0148437 ,  1.01633906,  1.02513468,
        1.03257716,  0.96956056,  0.99684966,  1.00481248,  0.99587554,
        1.00884235,  1.05117738,  1.04015827,  0.99499893,  0.97940749,
        0.92766035,  0.85739386,  0.90678692,  0.99316913,  0.98720229,
        0.97348827,  1.00783134,  1.02891445,  1.05390596,  1.07326686,
        1.0462501 ,  1.01635516,  1.00863659,  0.9707526 ,  0.96735269,
        0.98045182,  0.96823013,  0.97439212,  0.97466129,  1.01606369,
        1.02316177,  1.07050037,  1.08473766,  1.02145112,  1.04660583,
        1.03710866,  1.03999448,  1.0748446 ,  1.06036234,  1.03955603,
        1.03417706,  1.00454128,  0.99083626,  1.01705289,  1.07757914,
        1.08616841,  1.10221529,  1.08869016,  1.03236902,  1.00276566,
        0.97817636,  0.99979913,  1.01819372,  1.01605809,  0.98166281,
        0.98371226,  0.9728626 ,  1.03010559,  1.05449975,  1.03097641,
        1.07309687,  1.01785421,  1.00496125,  1.01332653,  0.93934208,
        0.92583811,  0.94382221,  0.93107617,  0.95029092,  0.98909903,
        1.01049817,  1.03144729,  1.01902604,  0.99497652,  0.969037  ,
        0.97035772,  0.97852081,  0.97937489,  0.98471564,  1.00006974,
        0.99637669,  0.94720089,  0.98355782,  0.99066246,  1.05132747,
        1.20007861,  1.23126805,  1.25369394,  1.20366776,  1.02856255,
        0.94708079,  0.93264425,  0.93488926,  0.96396291,  0.93638372,
        0.92655319,  0.93393022,  0.9389686 ,  0.93078184,  0.91942245,
        0.96377712,  0.9759357 ,  0.98094946,  0.97101003,  0.9661966 ,
        1.01007915,  1.00400352,  0.99752527,  1.02175784,  1.06616127,
        1.02657747,  0.99904013,  0.99855244,  1.0018487 ,  0.95795035,
        0.96106863,  0.92737418,  0.97507322,  1.01456225,  1.06061542,
        1.08152378,  1.05876493,  1.02006257,  1.00051486,  0.96627378,
        0.95209134,  0.97817564,  1.00542569,  1.04766834,  1.01768899,
        1.03325307,  1.05008399,  1.01702881,  1.04049742,  1.03584826,
        0.99462402,  0.93462855,  0.97619402,  0.97906959,  0.97555017,
        1.00107062,  0.97448117,  0.98532534,  1.02137184,  1.00653505,
        1.01547432,  1.0373435 ,  1.00488627,  0.99092591,  0.967246  ,
        0.9222666 ,  0.96198606,  0.97223032,  0.95281214,  1.02411377,
        1.03819418,  1.03361881,  1.01934123,  1.0053618 ,  1.05440426,
        1.05659246,  1.0702281 ,  1.03100443,  0.98327434,  0.97142398,
        0.97589505,  0.98087454,  0.98642516,  1.0231626 ,  1.02984226,
        1.02261341,  0.96563113,  0.93856341,  0.99257809,  0.95791388,
        0.93710685,  0.9837327 ,  1.02454746,  1.04635024,  1.01903939,
        1.04301131,  1.07267821,  1.02454674,  1.0210613 ,  1.00424492,
        0.99286568,  0.97952223,  0.96341902,  0.96586829,  0.98233056,
        0.96242082,  0.97827858,  0.97679085,  0.97537023,  1.00625384,
        1.00425649,  1.01369226,  1.04454362,  0.99171972,  0.99545622,
        0.98916072,  0.94048011,  0.95309991,  0.97496176,  1.02087104,
        1.01679313,  0.96011949,  0.95701408,  1.00632489,  0.98006392,
        0.98158723,  1.00519717,  0.97454435,  0.98228323,  0.97968841,
        1.04381287,  1.03142238,  1.02199376,  1.02727759,  0.99398065,
        0.97062594,  0.92795014,  0.88647974,  0.85406595,  0.82026285,
        0.832358  ,  0.83166981,  0.84376413,  0.84755284,  0.8742395 ,
        0.92544293,  0.98651332,  0.96631289,  1.00047052,  0.97445011,
        0.89948338,  0.88719571,  0.86320734,  0.87066036,  0.94664985,
        0.96682519,  0.95997822,  0.97125506,  0.96716535,  0.93054503,
        0.92634791,  0.94785732,  0.98292667,  1.04224455,  1.05188477,
        1.06698382,  1.06881249,  1.02369475,  1.01004171,  0.94869339,
        0.90030819,  0.9436844 ,  0.9288733 ,  0.93716884,  0.95782644,
        0.99013263,  0.97354364,  0.99186212,  1.0064863 ,  1.00802183,
        0.9846822 ,  0.98566163,  1.03971517,  1.05923164,  1.04174864,
        0.97578835,  0.97189993,  0.95482188,  0.92146504,  0.93319124,
        0.98020357,  1.0082531 ,  0.99520689,  0.97720361,  0.95196128,
        0.96631008,  0.99188185,  1.01504302,  1.02893162,  1.04252851,
        0.99654227,  1.03170657,  1.03103077,  1.03626466,  0.96267784,
        0.91055834,  1.06774688,  1.03613544,  0.92470294,  0.98326182,
        1.03295588,  1.00667691,  1.03497016,  1.00738978,  1.03780556,
        1.06653476,  1.00815761,  0.97680849,  0.95302033,  0.91973394,
        0.9245947 ,  0.90678728,  0.89863175,  0.88025784,  0.92341149,
        0.92908788,  0.96806568,  0.97230506,  0.94033408,  1.011783  ,
        1.049353  ,  1.05710173,  1.04324126,  1.0275116 ,  0.99883002,
        1.00013101,  1.03943813,  1.03242373,  1.08874011,  1.11548316,
        1.06235194,  1.11681092,  1.09249544,  1.05256903,  1.06537378,
        1.00746143,  0.99521208,  0.9836421 ,  1.03779936,  1.05119586,
        1.05296874,  1.06599772,  1.07273662,  1.07501161,  1.09653866,
        1.11588025,  1.08928084,  1.08559728,  1.04420125,  1.0834775 ,
        1.10235941,  1.08067584,  1.03704751,  1.02560937,  1.04311144,
        1.05357552,  1.08561087,  1.06217813,  0.9984076 ,  1.01550794,
        0.96319669,  0.93075883,  0.94190556,  0.96676767,  0.97772467,
        1.03209102,  1.08055425,  1.07780218,  1.09117293,  1.06945336,
        1.02619886,  1.02169383,  1.0083307 ,  1.02856922,  1.06871629,
        1.07037187,  1.04750907,  1.02620804,  1.01878631,  1.04665494,
        1.05654943,  1.05892909,  1.08873236,  1.06971371,  2.5488019 ,
        0.        , -3.74133277, -2.95486069,  1.3260951 ,  2.05954957,
        1.16287827,  1.05493975,  1.06183672,  1.03619754,  1.00582099,
        1.00855696,  1.01015937,  0.99362594,  1.00922918,  1.05537808,
        1.08831322,  1.06398416,  1.08769631,  1.09278154,  1.07372642,
        1.06049645,  1.07290661,  1.02156651,  1.0753392 ,  1.095734  ,
        1.06385744,  1.05144238,  1.04785967,  1.00651133,  0.989227  ,
        1.02173018,  0.99906105,  0.99441469,  1.00123107,  1.00724256,
        1.00213575,  1.00033915,  1.01724136,  1.02434933,  0.9448992 ,
        0.96633595,  0.98642421,  0.96805274,  1.02076983,  1.02126682,
        1.1033926 ,  1.06271088,  1.05357099,  1.0950129 ,  1.08200169,
        1.08324552,  1.02914596,  1.0577724 ,  1.07024157,  1.01443553,
        1.08394456,  1.07342649,  1.06593406,  1.03932548,  1.0036881 ,
        1.0321418 ,  1.03718841,  1.00681734,  1.01663411,  1.06866169,
        1.09293258,  1.11279368,  1.13646305,  1.09329784,  1.08263361,
        1.08419609,  1.0047394 ,  1.01045489,  1.05210006,  1.0597285 ,
        1.09742939,  1.08603692,  1.10357487,  1.05903816,  1.02761686,
        1.07358801,  1.08991945,  1.06219935,  1.04695594,  1.05061615,
        1.05755436,  1.06706226,  1.06456459,  1.03602159,  1.07306242,
        1.09895885,  1.05535614,  1.06820178,  1.0826869 ,  1.0325371 ,
        0.98774058,  1.02999389,  1.05755496,  1.0164479 ,  1.01531446,
        1.03029454,  1.02887297,  1.05640078,  1.07059479,  1.07386708,
        1.01581442,  1.04921496,  1.06094456,  1.06029642,  1.05237997,
        1.0450933 ,  1.06526506,  1.07535744,  1.05274737,  1.0447979 ,
        1.06507516,  1.04453647,  1.07087004,  1.04156232,  1.00590885,
        1.05170834,  1.04814792,  1.05761862,  1.08181   ,  1.00203907,
        1.01014912,  1.05699146,  1.03079498,  1.06575882,  1.12374282,
        1.0945307 ,  1.07037258,  1.10964096,  1.100366  ,  1.03046012,
        1.04161072,  1.04231918,  1.02355635,  1.05171597,  1.05551827,
        1.01674294,  1.07754993,  1.05881798,  1.05013525,  1.06064415,
        1.03357077,  1.08559263,  1.10849452,  1.08172166,  1.05258894,
        1.06060827,  1.06126487,  1.12734044,  1.11397076,  1.09469581,
        1.10889924,  1.11098373,  1.07620287,  1.0621258 ,  1.0909586 ,
        1.08325219,  1.08049989,  1.05355775,  1.06393969,  1.05612111,
        1.0785358 ,  1.11043692,  1.10678077,  1.08721101,  1.08174157,
        1.08745158,  1.04528177,  1.04695594,  1.05773365,  1.06586564,
        1.06017339,  1.09408605,  1.10006475,  1.10412061,  1.07263339,
        1.0376581 ,  1.0412426 ,  1.01220477,  1.0051477 ,  1.04213727,
        1.0145942 ,  1.00493646,  1.03990638,  1.03593922,  1.06987894,
        1.06218016,  1.04439545,  1.03158927,  1.00975776,  1.01813698,
        1.05228198,  1.07952201,  1.08369577,  1.09841716,  1.07867515,
        1.12101853,  1.12290347,  1.08915138,  1.04519832,  1.00571632,
        0.99994618,  1.02652633,  1.02197015,  1.06110787,  1.07039118,
        1.06817341,  1.05590177,  1.0150758 ,  1.00687885,  1.07604778,
        1.10878706,  1.07754886,  1.10748816,  1.08064532,  1.06671405,
        1.06271541,  1.04204953,  1.07505918,  1.07222426,  1.04819882,
        1.05545783,  1.03637254,  1.06759882,  1.04255104,  1.08304596,
        1.09628808,  1.09895241,  1.06564665,  1.0993551 ,  1.07889903,
        1.03963745,  1.25532961,  1.14948153,  0.5912841 ,  0.83100498,
        1.24943173,  1.22175169,  0.89570266,  0.79285741,  1.16671801,
        1.11150932,  0.98807073,  1.05903828,  1.08187878,  1.09435964,
        1.14332128,  1.12461793,  1.09167588,  1.08250487,  1.08204937,
        1.09437406,  1.06274354,  1.06027544,  1.08616734,  1.06560516,
        1.05987275,  1.06730986,  1.04719913,  1.08579028,  1.08713138,
        1.12694061,  1.11816335,  1.08306539,  1.07927668,  1.03450668,
        1.07345593,  1.08627903,  1.05880678,  1.07063353,  1.03036857,
        1.02240229,  1.01399088,  0.99855924,  1.02363849,  1.07404912,
        1.08664906,  1.08738732,  1.04366231,  1.11158657,  1.13730645,
        1.05099261,  1.10895097,  1.13487458,  1.1466043 ,  1.15938044,
        1.13496697,  1.1101495 ,  1.10056138,  1.13391685,  1.12292016,
        1.08544123,  1.09651399,  1.10541773,  1.14735246,  1.12213933,
        1.11392367,  1.09489393,  1.09047794,  1.05590403,  1.09690154,
        1.12077999,  1.09803581,  1.10700583,  1.11796176,  1.10225046,
        1.08315134,  1.11144698,  1.15345323,  1.11940503,  1.11047375,
        1.05637169,  1.06082916,  1.09938574,  1.08082879,  1.09932518,
        1.10305595,  1.09425318,  1.10367358,  1.13555634,  1.09150553,
        1.11093056,  1.09404612,  1.12227798,  1.06831765,  1.02882206,
        1.03988397,  1.0082767 ,  1.03123379,  1.04510248,  1.01320386,
        1.03345442,  1.06651807,  1.06417716,  1.07317042,  1.08049059,
        1.08284199,  1.08771551,  1.10523641,  1.06143212,  1.08992946,
        1.10681307,  1.118276  ,  1.14041531,  1.15341651,  1.1023401 ,
        1.08857036,  1.10980785,  1.13430011,  1.10891974,  1.0764271 ,
        1.13862741,  1.11470366,  1.08012378,  1.08113205,  1.12549889,
        1.12864912,  1.10179603,  1.11228728,  1.13100207,  1.12440205,
        1.10531545,  1.11515403,  1.08754313,  1.12412155,  1.12219632,
        1.10294056,  1.11879802,  1.09894574,  1.07027745,  1.08454812,
        1.12303352,  1.09968686,  1.14808643,  1.1168083 ,  1.11491978,
        1.12851858,  1.10785437,  1.08198166,  1.06910884,  1.06732965,
        1.07546854,  1.04783249,  1.03671253,  1.03127563,  1.06728649,
        1.06027007,  1.0380671 ,  1.07569396,  1.08574188,  1.01275098,
        1.0525403 ,  1.08950198,  1.070243  ,  1.07702088,  1.13874304,
        1.17820895,  1.17821085,  1.21090388,  1.16698277,  1.11367428,
        1.0687114 ,  1.08741117,  1.08436763,  1.04548001,  1.01319528,
        0.96446824,  0.89400911,  0.87663472,  0.89441574,  0.89480007,
        0.89360893,  0.90710264,  0.88675016,  0.93284827,  1.00014496,
        1.06597233,  1.03413022,  1.03161061,  1.07583714,  1.08291161,
        1.06770825,  1.04563427,  1.07111216,  1.07541943,  1.01953912,
        1.04498684,  1.0675447 ,  1.02222288,  1.0224942 ,  1.08337426,
        1.07916248,  1.09296894,  1.07627404,  1.05458975,  1.06967354,
        1.0321275 ,  1.06135201,  1.04880476,  1.05614924,  1.06299806,
        1.1230464 ,  1.08938909,  1.05628657,  1.07411003,  1.08551788,
        1.06334722,  1.06070244,  1.08102   ,  1.04476917,  1.06045675,
        1.06424177,  1.04522669,  1.0828203 ,  1.06844115,  1.0540911 ,
        1.05450988,  1.05737484,  1.05284417,  1.04572785,  1.06421709,
        1.09588051,  1.10232711,  1.0504334 ,  1.09269285,  1.08367419,
        1.09958351,  1.08346009,  1.06530666,  1.10779119,  1.08453941,
        1.06435752,  1.07375991,  1.07200027,  1.06077349,  1.07160509,
        1.06546104,  1.03922141,  1.03086615,  1.02791977,  1.07245028,
        1.0574652 ,  1.03333724,  1.09119308,  1.07688439,  1.04647768,
        1.05335236,  1.06980312,  1.03107142,  1.03476346,  1.06701398,
        1.07474244,  1.02287686,  1.05732644,  1.08298469,  1.04525661,
        1.0616895 ,  1.08731937,  1.05875707,  1.02589905,  1.06028914,
        1.02719188,  1.01864791,  1.0450362 ,  1.0399729 ,  1.01959074,
        1.08372235,  1.0898689 ,  1.051844  ,  1.07452583,  1.06843877,
        1.09491014,  1.10690987,  1.10314047,  1.11164808,  1.1128273 ,
        1.09740603,  1.08935714,  1.08552587,  1.08434498,  1.07969797,
        1.09403646,  1.05806506,  1.06003666,  1.10553145,  1.10489583,
        1.06836617,  1.0992341 ,  1.10193992,  1.03891301,  1.02636981,
        1.08112681,  1.12898493,  1.06604266,  1.04302478,  1.04127502,
        1.08069515,  1.11023605,  1.08597636,  1.14315438,  1.15630555,
        1.12987232,  1.10768771,  1.08471775,  1.07012117,  1.06670511,
        1.02707839,  1.06072211,  1.05977404,  1.00312555,  1.02931058,
        1.04034007,  1.057886  ,  1.06638825,  1.06861496,  1.05334353,
        1.04188907,  1.03597844,  1.08426106,  1.08186281,  1.04897225,
        1.04967916,  1.03736234,  1.05541885,  1.08770716,  1.08246207,
        1.09217548,  1.07948875,  1.07113159,  1.0526607 ,  1.11585498,
        1.11645651,  1.01953518,  1.02404475,  1.05485606,  1.02494454,
        1.01517975,  1.04123628,  1.03866899,  1.030545  ,  1.04319668,
        1.07477295,  1.05226362,  1.04704344,  1.09154284,  1.06219018,
        1.02515829,  1.02554047,  1.0155884 ,  1.03297436,  1.04236484,
        1.04190123,  1.06664264,  1.05181539,  1.03130674,  1.06137514,
        1.07748234,  1.08900249,  1.05811167,  1.03870881,  1.03920293,
        1.03474689,  0.97994417,  0.99104965,  0.94809008,  0.97850043,
        0.97934115,  0.97359675,  1.00246334,  1.00748348,  0.99668026,
        0.99166995,  0.98913443,  0.98780078,  1.0224489 ,  1.04497516,
        1.02685046,  1.03859866,  1.05793118,  1.04300141,  1.03137362,
        1.02918851,  1.01737273,  1.016716  ,  0.98553061,  0.98710054,
        1.02467656,  1.02760136,  1.02058601,  1.03461385,  1.03063846,
        1.05137181,  1.02243888,  1.03850019,  1.0570277 ,  1.05180764,
        1.01536918,  1.01956379,  1.03542018,  1.01601708,  1.00734484,
        1.00032949,  0.99785995,  1.01211536,  1.04137766,  1.01303101,
        1.0156455 ,  1.03358436,  1.01280451,  1.01212871,  1.02403045,
        1.00765264,  0.99195117,  0.99394572,  1.01390231,  1.03906834,
        0.98651421,  0.9712525 ,  0.97748673,  0.95071203,  0.97310889,
        0.98079592,  0.96252257,  0.96303529,  0.98270327,  0.97339147,
        0.99468446,  1.00083005,  0.98662561,  0.98859859,  0.9813593 ,
        0.95831138,  0.97259218,  0.9966116 ,  1.00708401,  1.01954937,
        1.02337396,  1.01055336,  1.0200001 ,  1.04625213,  1.03790331,
        1.02568388,  1.03888917,  1.06318796,  1.04677916,  1.02478063,
        0.99845177,  0.98506594,  0.98697418,  0.99565417,  1.0336287 ,
        1.00391448,  1.00776148,  1.02372718,  1.01477849,  1.00270212,
        1.00528967,  0.99026221,  0.99562991,  1.0591023 ,  1.11505961,
        1.09142017,  1.0424329 ,  1.01424909,  1.01769018,  1.03773439,
        1.03405035,  1.01564324,  0.98347324,  1.01518798,  1.03542984,
        0.97124171,  0.97762752,  0.97892123,  0.99258792,  1.01083732,
        1.03779221,  1.03436625,  1.05535066,  1.06930625,  1.05991709,
        1.0392071 ,  1.03163826,  1.04423404,  1.04633152,  1.01801372,
        1.00836289,  1.01391506,  1.04401052,  1.03995574,  1.03238165,
        1.02058196,  1.02519178,  1.03472912,  1.03533006,  1.03915381,
        1.03444505,  1.05127525,  1.02718306,  1.00262916,  1.00279748,
        1.00383484,  0.97446299,  1.01257741,  1.03650033,  1.05167043,
        1.06305957,  1.01625955,  1.0240835 ,  1.05214703,  1.05508983,
        1.07183802,  1.04360974,  1.07013166,  1.071926  ,  1.03369558,
        1.04756737,  1.05636895,  1.07283401,  1.05324113,  1.0595088 ,
        1.10169399,  1.07563663,  1.06038368,  1.02605069,  1.04798496,
        1.06811368,  1.04987466,  1.04518974,  1.01246989,  1.01681185,
        1.04570472,  1.05222142,  1.05199122,  1.02419198,  1.01779056,
        1.03858113,  1.02152836,  1.04525137,  1.05312955,  1.03955078,
        1.03176939,  1.02831638,  1.03926468,  1.00963414,  1.06841171,
        1.08544528,  1.08192444,  1.05385661,  1.04535127,  1.03914654,
        1.02139866,  1.05180335,  1.09241974,  1.03571582,  1.0361228 ,
        1.07678723,  1.05268908,  1.06981933,  1.07581234,  1.05603242,
        1.05845332,  1.03351676,  0.9932493 ,  1.0418638 ,  1.02474999,
        1.04527378,  1.05602133,  1.05382121,  1.05434763,  1.0339824 ,
        1.04245067,  1.05748165,  1.06498408,  1.05886734,  1.04856801,
        1.06235564,  1.04839265,  1.03848565,  1.05437601,  1.06235039,
        1.06737351,  1.05702364,  1.04341364,  1.05614233,  1.04588509,
        1.04665959,  1.06263566,  1.06104124,  1.05053377,  1.02255225,
        1.00116169,  0.9851532 ,  0.96567243,  0.98361415,  1.00721753,
        1.04276717,  1.04431653,  1.03025842,  1.06549037,  1.06793749,
        1.05778646,  1.0488025 ,  1.05205119,  1.05671859,  1.0812031 ,
        1.06727719,  1.03579807,  1.03782403,  1.05428481,  1.06549335,
        1.05693662,  1.07116902,  1.07271886,  1.03901875,  1.04085028,
        1.04913771,  1.0602684 ,  1.04389703,  1.03841615,  1.05721581,
        1.05317819,  1.0766474 ,  1.08014405,  1.08639967,  1.1653558 ,
        1.35205221,  1.54117715,  1.65125895,  1.46373928,  1.22321212,
        1.10215592,  1.0186168 ,  1.02892268,  1.17085421,  2.20510077,
        4.10763979,  5.6003933 ,  5.76194525,  4.18902397,  2.37185431,
        1.30626631,  1.01753914,  1.02127206,  1.00826395,  1.01836443,
        1.02032471,  1.07967222,  1.27018809,  1.73475862,  2.4890697 ,
        2.9785862 ,  2.76279211,  2.06528807,  1.40761375,  1.12373269,
        1.06836593,  1.04553962,  1.01240039,  1.01793969,  1.02490723,
        0.99068707,  1.05019629,  1.08704054,  1.05122972,  1.06419742,
        1.06452131,  1.02676952,  1.02651107,  1.03271043,  1.05277503,
        1.05580592,  1.07381642,  1.11056125,  1.08153808,  1.05068922,
        1.0581193 ,  1.06790626,  1.04407227,  1.03454173,  1.02167165,
        0.9975819 ,  1.0051198 ,  1.00594854,  1.00212324,  1.03423405,
        1.05175912,  1.04883099,  1.06099081,  1.0242101 ,  1.0449543 ,
        1.05583692,  1.04371154,  1.05368161,  1.06672633,  1.07490849,
        1.04085958,  1.05050457,  1.05296135,  1.05901551,  1.05687416,
        1.04187167,  1.05864024,  1.05123627,  1.02145362,  1.03383875,
        1.06455946,  1.02545333,  1.04621708,  1.0580436 ,  1.06044328,
        1.06409502,  1.00468123,  1.0003016 ,  1.03852117,  1.04025602,
        1.04892528,  1.06049454,  1.02993476,  1.02461255,  1.07341754,
        1.05879283,  1.04337406,  1.03816831,  1.04709077,  1.04632175,
        1.01884329,  1.01651859,  1.04309273,  1.0559901 ,  1.03376734,
        1.00790548,  1.04897511,  1.04240596,  1.02202666,  1.12948477,
        1.31587553,  1.61429298,  1.79259455,  1.65381169,  1.34045672,
        1.14741027,  1.07136154,  1.04980493,  1.09312391,  1.20110464,
        1.3806864 ,  1.57002687,  1.56103909,  1.36972368,  1.15502894,
        1.04987264,  1.05089784,  1.01525843,  1.01952338,  1.04457152,
        1.05257082,  1.0464294 ,  1.03737319,  1.03485548,  1.00677812,
        1.01707447,  1.04132175,  1.05469882,  0.98084599,  1.01576531,
        1.0333935 ,  1.04186785,  1.04229021,  1.03830385,  1.05878711,
        1.02097607,  1.04170239,  1.04368258,  1.03485739,  1.06430721,
        1.04316747,  1.08043396,  1.0589838 ,  1.04556704,  1.06480181,
        1.03304851,  1.00034726,  1.03998983,  1.05027092,  1.03991783,
        1.02446365,  1.04349375,  1.04386246,  1.00717342,  1.02148199,
        1.04670048,  1.03525686,  1.03267586,  1.03588688,  1.02447951,
        1.02702558,  1.05483186,  1.07081366,  1.04422212,  1.02558696,
        1.02412009,  1.04450548,  1.07514906,  1.05271101,  1.01472795,
        1.04532504,  1.07528734,  1.06086528,  1.05881703,  1.06033719,
        1.03362429,  1.03900492,  1.04423332,  1.02683997,  1.06173134,
        1.02883661,  1.01608789,  1.02050507,  1.02515125,  1.03673804,
        1.04951453,  1.02931821,  1.06520307,  1.07306099,  1.02177775,
        1.02194726,  1.008847  ,  1.00394714,  0.99749511,  0.98991275,
        1.00010991,  1.01349807,  1.03435838,  1.06823349,  1.04747629,
        1.04609811,  1.06106818,  1.0525167 ,  1.05000818,  1.04079378,
        1.04393554,  1.05557752,  1.0374589 ,  1.02097285,  1.03454185,
        1.04654574,  1.07631671,  1.0722301 ,  1.08340359,  1.07384098,
        1.0860939 ,  1.06632721,  1.06751382,  1.0753262 ,  1.05417204,
        1.05771327,  1.05251527,  1.05981839,  1.05304098,  1.03478003,
        1.04383683,  1.06700051,  1.06469059,  1.04570556,  1.06626844,
        1.06977904,  1.05999851,  1.05184519,  1.06109333,  1.07305086,
        1.04797494,  1.05609703,  1.06124151,  1.04632521,  1.05496156,
        1.06981945,  1.059919  ,  1.03200936,  1.0431782 ,  1.0423125 ,
        1.05057025,  1.0409863 ,  1.00863194,  1.01277399,  1.06226718,
        1.07327628,  1.05073738,  1.04779398,  1.01834059,  1.06238973,
        1.05153954,  1.04105508,  1.03009927,  1.0505054 ,  1.05313265,
        1.04121566,  1.03956938,  1.00323308,  1.00371623,  1.00330901,
        1.01665473,  1.04320478,  1.02530754,  1.0188266 ,  0.99700683,
        1.0383352 ,  1.05155742,  1.04765511,  1.06116545,  1.07383585,
        1.04973745,  1.01818132,  1.0700134 ,  1.08057523,  1.06090462,
        1.03384602,  1.0618726 ,  1.04510045,  1.01902294,  1.04758525,
        1.01727247,  1.04426873,  1.0735656 ,  1.0318687 ,  1.05455828,
        1.06179857,  1.00737607,  1.02655804,  1.00897098,  1.02795565,
        1.06871307,  1.05222118,  1.03214025,  1.0570389 ,  1.06659651,
        1.06405866,  1.08373654,  1.02452087,  1.04169798,  1.05414736,
        1.04063487,  1.08816695,  1.05905366,  1.0700196 ,  1.09027898,
        1.08777595,  1.08970666,  1.05057108,  1.06499445,  1.05820751,
        1.0371747 ,  1.01478148,  1.01222646,  1.03926647,  1.02743554,
        1.03385806,  1.0327785 ,  0.99285668,  1.01758504,  1.0074985 ,
        0.99609369,  1.00653076,  1.00730276,  1.04564691,  1.04497015,
        1.01786351,  1.05774033,  1.06362891,  1.025509  ,  1.01027763,
        0.98779857,  0.99408853,  1.00578737,  0.97945738,  0.99293619,
        0.99795359,  0.9802196 ,  1.00728559,  0.99878305,  0.96976268,
        0.98491007,  0.99052316,  1.0240761 ,  0.99688989,  0.97288126,
        0.97112375,  0.95851833,  0.96725619,  0.97360861,  0.97418755,
        0.96690452,  0.97109205,  0.97862619,  0.95518547,  0.9512378 ,
        0.97183877,  0.97254562,  0.96042728,  0.97168481,  1.02819324,
        1.01368046,  0.98329008,  0.97332162,  0.98950469,  1.00333738,
        0.9970454 ,  1.00592172,  0.97592866,  0.95603561,  0.97087711,
        0.98017073,  0.96845037,  0.9691571 ,  0.99050719,  0.9932856 ,
        0.97353262,  0.96167696,  0.95537812,  0.96114516,  0.99271762,
        0.98731571,  0.95872027,  1.00588   ,  0.98871773,  0.98248535,
        0.97781402,  0.95193994,  0.9642424 ,  0.97630662,  0.97496206,
        0.97945225,  0.96886575,  0.97475958,  0.95032662,  0.94445837,
        0.97911286,  0.96321756,  0.94580466,  0.97475362,  0.95120496,
        0.97431862,  0.99251431,  0.98628235,  0.97351724,  0.98085111,
        0.97084171,  0.96082604,  0.97291416,  0.96607965,  0.9887647 ,
        0.99382788,  0.9969821 ,  0.98911852,  0.97659308,  0.95423442,
        0.99087763,  1.02464664,  1.06205606,  1.04126179,  1.03788805,
        1.05315626,  1.05105531,  1.05337727,  1.04607725,  1.0210036 ,
        0.99508619,  0.99708247,  1.03440285,  1.0159266 ,  1.02772152,
        1.00877559,  1.00397372,  0.99876219,  1.02134788,  1.03149402,
        0.98948961,  0.99499935,  1.02607572,  1.01563501,  1.02612019,
        1.03922319,  1.02272153,  1.0157373 ,  1.02805161,  1.01640475,
        1.00400031,  1.00298452,  1.02068818,  1.00121307,  0.98771757,
        0.99276161,  0.99991584,  0.99003655,  0.98071665,  1.02412689,
        0.98647732,  1.00001574,  1.03622508,  1.02438033,  0.97907501,
        1.00114286,  1.06102896,  1.02204323,  1.01295424,  1.03447223,
        1.01389194,  1.0150888 ,  1.06761336,  1.04531038,  1.06747591,
        1.05345559,  1.03389394,  1.02077115,  1.02353406,  1.05420506,
        1.03419042,  1.02332115,  1.05390811,  1.02823246,  1.05132103,
        1.04443252,  1.0179683 ,  1.07543015,  1.06789863,  0.98373049,
        1.01098132,  1.01898038,  1.02374542,  1.02965784,  1.00626934,
        1.00419128,  1.00888169,  0.98566711,  0.99895442,  1.01946771,
        0.99651438,  0.99390751,  1.03307366,  1.04185903,  1.04627097,
        1.05470467,  1.04730475,  1.05173838,  1.05874431,  1.06487727,
        1.07974589,  1.05828226,  1.04350924,  1.04444933,  1.02235007,
        1.02024746,  1.0129447 ,  0.99803299,  1.01022255,  1.03462601,
        1.04920042,  1.02568555,  1.0250119 ,  1.05508268,  1.03406155,
        1.0539484 ,  1.05941069,  1.03181791,  1.05971491,  1.02050614,
        1.01518488,  1.03732562,  1.03149915,  0.9831937 ,  0.98092914,
        0.998469  ,  0.99888283,  1.03354228,  1.05009925,  1.04720235,
        1.05530953,  1.03753626,  1.05880344,  1.04301882,  1.0457207 ,
        1.06281614,  1.02523732,  1.03814173,  1.04991615,  1.0370065 ,
        1.05135608,  1.04701829,  1.02411222,  1.04330051,  1.09743154,
        1.05589294,  1.05720568,  1.0425142 ,  1.00868058,  1.03488529,
        1.03666413,  1.04114628,  1.04717827,  1.01773596,  1.04365301,
        1.07136583,  1.00003421,  1.00707603,  1.05551267,  1.06436729,
        1.05612683,  1.03207612,  1.05114281,  1.0448432 ,  1.03310263,
        1.08360422,  1.07065845,  1.01526332,  1.00723612,  1.0387826 ,
        1.04443467,  1.03363538,  1.02835047,  1.04789186,  1.08513749,
        1.06767988,  1.0317986 ,  1.04575729,  1.02660501,  1.03554535,
        1.12088454,  1.10108888,  1.0413667 ,  1.04993653,  1.04548156,
        1.04817212,  1.03685343,  1.03639245,  1.04118752,  1.05246413,
        1.0802995 ,  1.03604269,  1.06127226,  1.08046925,  1.04075146,
        1.03906739,  1.0787698 ,  1.05826259,  1.09882712,  1.0910244 ,
        1.01826453,  1.03592038,  1.03542757,  1.05331779,  1.04860699,
        1.02940524,  1.04694903,  1.03951252,  1.00185645,  1.03758597,
        1.05907416,  1.02772391,  1.0517956 ,  1.0330056 ,  1.01387191,
        1.04736686,  1.06522012,  1.07657373,  1.05443037,  1.03283167,
        1.04514253,  1.04597485,  1.04618168,  1.02324462,  1.02690864,
        1.02131712,  1.03825831,  1.04144454,  1.0200572 ,  1.01946437,
        0.99646968,  1.04459608,  1.03801906,  1.00246191,  1.0217725 ,
        1.04604506,  1.01115215,  1.03088939,  1.04160976,  0.97862035,
        0.98136401,  1.01344633,  1.02524495,  1.02601552,  1.03802609,
        1.01347244,  0.98974204,  0.98647887,  1.00149095,  0.98583454,
        1.00290811,  0.98987406,  0.99791908,  1.02233338,  1.00476301,
        1.00125766,  1.01201177,  1.0119983 ,  0.98293477,  0.97167206,
        0.98016787,  0.96839356,  0.95502102,  0.96945578,  0.9462769 ,
        0.93086398,  0.91311967,  0.92555213,  0.95214766,  0.95702291,
        0.96740359,  0.98758942,  0.98620576,  0.98950845,  1.01319706,
        1.01768649,  0.98462272,  0.97743404,  0.9619717 ,  0.96813422,
        0.97246635,  0.97658533,  0.96912479,  0.95833069,  0.97622615,
        0.94422007,  0.94345319,  0.9952082 ,  1.01166475,  0.98351234,
        0.97962993,  0.96508813,  0.96917498,  0.943896  ,  0.93149406,
        0.94105315,  0.95216781,  0.97267759,  0.97060639,  0.94233644,
        0.81863636,  0.86458266,  1.00137877,  1.01565301,  0.96850431,
        0.97540349,  0.97774994,  0.9925853 ,  0.99531513,  0.97076696,
        0.97969043,  0.92898887,  0.94020045,  0.95432389,  0.95081562,
        0.97218388,  0.96353883,  0.99138135,  0.99651968,  0.97564018,
        0.97316468,  0.96855539,  0.97312003,  0.97476649,  0.95113534,
        0.97077852,  0.97905916,  0.97559261,  0.94515944,  0.94800913,
        0.98882896,  0.96966392,  0.98219448,  0.98140132,  0.9974907 ,
        0.97906065,  0.97658515,  0.98077297,  0.98361987,  1.00619543,
        0.9710198 ,  0.97427022,  0.98969448,  0.97164655,  0.99451554,
        1.00915432,  0.99386245,  0.99826324,  0.99967557,  0.99921149,
        1.00748181,  1.02702796,  0.99930501,  0.9861418 ,  0.97469568,
        0.98836178,  0.97902429,  0.95051515,  0.94394577,  0.95424849,
        0.92338526,  0.91783273,  0.93389672,  0.94793648,  0.96029633,
        1.00506544,  1.00111878,  0.97245592,  0.96370661,  0.98255938,
        0.96566272,  0.94127589,  0.9625448 ,  0.97178316,  0.98916811,
        0.98220456,  0.98854655,  0.99735147,  0.98296523,  0.97621089,
        1.00266647,  0.99420345,  0.96848834,  0.97990203,  0.98309875,
        0.96136612,  0.96214241,  0.96731913,  0.96942371,  0.99162972,
        0.98288625,  0.97238648,  0.96611506,  0.95764083,  0.95914066,
        0.9503907 ,  0.93175215,  0.95824152,  0.98671168,  0.97861415,
        0.98447526,  0.96095794,  0.94066501,  0.9279846 ,  0.93121588,
        0.94405913,  0.95071405,  0.90983707,  0.94704998,  0.96042281,
        0.94956702,  0.93987018,  0.93578839,  0.96119475,  0.95565361,
        0.96920228,  0.91319853,  0.89967412,  0.92446923,  0.92473245,
        0.90448493,  0.89388627,  0.92406148,  0.94945878,  0.95662975,
        0.94723284,  0.95435762,  0.96183896,  0.97048789,  0.99806637,
        0.98706818,  0.97629058,  0.99131793,  0.99187392,  0.93466091,
        0.95265883,  0.99423426,  0.9841882 ,  0.96371514,  0.93473792,
        0.94300199,  0.95571262,  0.97110903,  0.99908483,  0.98218858,
        0.96853924,  0.99367559,  0.9390136 ,  0.95780295,  0.96477145,
        0.95775908,  0.95496953,  0.95889699,  0.95347035,  0.96601456,
        0.98364478,  0.98541701,  0.97836405,  0.98045361,  0.98344785,
        1.00773823,  1.0205574 ,  0.99865776,  0.97139704,  0.94853085,
        0.99814463,  0.99302161,  0.97260779,  0.95676392,  0.99454099,
        1.00489235,  0.98979032,  0.99549407,  1.0120573 ,  0.9932667 ,
        0.98966408,  0.98203593,  0.95317197,  0.95640796,  0.96546048,
        0.94530201,  0.95387053,  0.97802693,  0.97526658,  0.97361612,
        0.98636323,  0.99998486,  1.00926912,  0.95484769,  0.9367218 ,
        0.99223036,  0.96701944,  0.96296656,  0.98605061,  0.97294527,
        0.97909719,  0.9631536 ,  0.9520095 ,  0.98238093,  0.96216977,
        0.97657722,  0.97634202,  0.94373387,  0.96461153,  0.95429963,
        0.90610051,  0.96176249,  0.95401907,  0.95369852,  0.98364079,
        0.98751777,  0.9639197 ,  0.97304845,  0.97256929,  0.96458709,
        0.96712863,  0.97450566,  0.9713223 ,  1.01047516,  0.98347425,
        0.95035881,  0.95703179,  0.97277743,  0.95753974,  0.96368992,
        1.00836694,  0.96415496,  0.97781146,  0.9649809 ,  0.98376596,
        0.98788762,  0.99366444,  0.98613304,  1.00198281,  0.99476308,
        0.98255318,  0.99059939,  0.98769993,  0.97474885,  0.98282832,
        0.97497469,  0.99205834,  0.98252249,  0.98288858,  1.02343714,
        0.99986881,  0.99611574,  1.00060856,  0.98780835,  0.96952444,
        0.96141374,  0.94026482,  0.9763186 ,  1.00511909,  0.97766072,
        0.95777714,  0.95885682,  0.9514637 ,  0.93258888,  0.96290022,
        0.94893658,  0.95644349,  0.9518519 ,  0.95512694,  0.96367586,
        0.94714248,  0.94044971,  0.96394712,  0.96941596,  0.95481282,
        0.95428562,  0.96303791,  0.9736222 ,  0.99091578,  0.98868591,
        0.98164338,  0.98643368,  0.96180838,  0.97692382,  0.98715329,
        0.9850499 ,  0.97569996,  0.97956526,  0.99636608,  0.98218155,
        0.95323664,  0.94863504,  0.94404638,  0.93930393,  0.95851415,
        0.96527267,  0.97043711,  0.98729247,  0.99792349,  0.99435353,
        0.99572468,  0.97180009,  0.96412909,  0.95222902,  0.96025532,
        0.98349077,  1.00177824,  0.9904083 ,  0.97568071,  0.97490442,
        0.97262549,  0.93777299,  0.98920453,  0.95685792,  0.97286433,
        0.98025644,  0.95417142,  0.95489556,  0.95871997,  0.96937376,
        1.02118325,  1.04141808,  1.008883  ,  0.93849868,  0.97543323,
        0.93590838,  0.96150094,  0.96509898,  0.98276359,  0.951074  ,
        0.93875939,  0.98770046,  0.92846316,  0.87639147,  0.90161747,
        0.88739383,  0.91953546,  0.915959  ,  0.90319771,  0.92438924,
        0.89839715,  0.92939258,  0.94583517,  0.93018991,  0.91728771,
        0.95798606,  0.945342  ,  0.94117725,  0.94425154,  0.92235798,
        0.9203729 ,  0.91573256,  0.94656587,  0.94605899,  0.93027943,
        0.93339074,  0.93193859,  0.92634922,  0.92785227,  0.90911877,
        0.90713274,  0.90300459,  0.86176646,  0.91404861,  0.95066279,
        0.94140309,  0.93317533,  0.94684285,  0.95028704,  0.93188161,
        0.93658704,  0.95936382,  0.96838617,  0.97043937,  0.92768568,
        0.94119304,  0.95572633,  0.93794155,  0.90794641,  0.93930155,
        0.94545698,  0.96643341,  0.96482682,  0.91326267,  0.94559026,
        0.90797663,  0.91485345,  0.91376323,  0.90564001,  0.93612915,
        0.93289727,  0.90226561,  0.90064144,  0.9264214 ,  0.93951702,
        0.90493327,  0.91031474,  0.93682039,  0.91074133,  0.92131615,
        0.94401407,  0.90560156,  0.9008798 ,  0.89697546,  0.88704276,
        0.89431602,  0.91721523,  0.91627485,  0.93945658,  0.9272052 ,
        0.85719174,  0.89172852,  0.92767823,  0.90630573,  0.8699131 ,
        0.92111248,  0.8985061 ,  0.84365863,  0.81900799,  0.78670567,
        0.80474609,  0.84170061,  0.88667649,  0.90401524,  0.92845047,
        0.92312521,  0.87322462,  0.87887317,  0.87889534,  0.89357966,
        0.88972616,  0.89930093,  0.90116477,  0.90019047,  0.92589611,
        0.94405109,  0.91100907,  0.93794936,  0.86107242,  0.67897487,
        0.64415526,  0.63037193,  0.61688763,  0.72261554,  0.75905591,
        0.85092461,  0.89602679,  0.87666696,  0.90684861,  0.91975009,
        0.90931374,  0.91025591,  0.91431069,  0.92892754,  0.97188652,
        0.91923368,  0.89482164,  0.96816456,  0.93470693,  0.93417674,
        0.94705349,  0.91928953,  0.91726917,  0.9179126 ,  0.90684509,
        0.92514193,  0.92277986,  0.87597239,  0.90206474,  0.94112331,
        0.93085694,  0.91340065,  0.94977641,  1.01171374,  0.93874449,
        0.90131497,  0.93048233,  0.94848776,  0.93480217,  0.92568541,
        0.9283554 ,  0.93190175,  0.92235953,  0.92690361,  0.96620417,
        0.92653179,  0.93103254,  0.97061545,  0.94549006,  0.91937351,
        0.93627024,  0.97201818,  1.09911346,  1.16527092,  1.04997861,
        0.90784949,  0.95335245,  0.9353978 ,  0.92086375,  0.90854692,
        0.82985646,  0.73331165,  0.67417288,  0.68860924,  0.79783469,
        0.85599375,  0.81535262,  0.81019193,  0.85748291,  0.89108664,
        0.91288   ,  0.94526297,  0.96063513,  0.9467743 ,  0.92668331,
        0.87446505,  0.9118492 ,  0.93976748,  0.9474175 ,  0.97489047,
        0.9494167 ,  0.92196459,  0.92312151,  0.96214521,  0.95056546,
        0.93905973,  0.92774701,  0.93323171,  0.94514322,  0.94421458,
        0.94137031,  0.94619852,  0.96306044,  0.93727404,  0.93701667,
        0.95680654,  0.92626327,  0.92922413,  0.93768626,  0.92451066,
        0.91227943,  0.93627101,  0.96121651,  0.94988763,  0.92520678,
        0.94467008,  0.9481855 ,  0.93251038,  0.9501341 ,  0.92584562,
        0.95424193,  0.94633514,  0.93525654,  0.94517219,  0.93170446,
        0.95749831,  0.95141488,  0.95432842,  0.94047028,  0.96747023,
        0.97679138,  0.98610234,  0.97296113,  0.96753269,  0.95683581,
        0.94002271,  0.9660086 ,  0.94320977,  0.94154847,  0.9650203 ,
        0.98158133,  0.95111406,  0.92097622,  0.90263748,  0.89434713,
        0.91336095,  0.94246763,  0.98103905,  0.97943807,  0.96809453,
        0.95817536,  0.9616285 ,  0.93249184,  0.9384445 ,  0.97446108,
        0.97051805,  0.9771651 ,  0.99977976,  0.95861566,  0.95525223,
        0.95799536,  0.95666933,  0.96808481,  0.96804172,  0.97211796,
        1.00245643,  0.97306669,  0.94788885,  0.92479193,  0.95074177,
        0.98488945,  0.93859708,  0.9286409 ,  0.92393476,  0.91663164,
        0.93921959,  0.95108479,  0.90372437,  0.9113273 ,  0.94309944,
        0.94905704,  0.91810924,  0.92506135,  0.94002974,  0.92623144,
        0.92018849,  0.92529303,  0.94158667,  0.94377476,  0.93655092,
        0.92842364,  0.92422724,  0.94680429,  0.98425514,  0.94614035,
        0.93086421,  0.95460129,  0.94256246,  0.92192352,  0.92722636,
        0.91262776,  0.9252339 ,  0.91678476,  0.91716444,  0.91613954,
        0.9252947 ,  0.92714131,  0.92713213,  1.0397861 ,  1.02351296,
        0.8128047 ,  1.0176512 ,  0.94086474,  0.75395668,  0.96898854,
        0.9371298 ,  1.06103468,  1.0037545 ,  0.82421124,  0.97551656,
        0.94603878,  0.87620038,  0.95251197,  0.98374319,  0.92792708,
        0.91708678,  0.96327621,  0.91279733,  0.90569234,  0.93055844,
        0.92987436,  0.93560189,  0.91649979,  0.94016713,  0.96054155,
        0.94306189,  0.94623899,  0.96809548,  0.93264419,  0.86833668,
        1.27948296,  1.20997894,  0.64989072,  0.94528961,  1.10185647,
        0.89640617,  0.91626042,  0.91803122,  0.89726818,  0.88656181,
        0.88950169,  0.91086316,  0.95146179,  0.95656049,  0.87601519,
        0.91902006,  0.96398753,  0.94570607,  0.95805252,  0.95472634,
        1.00643694,  1.02696848,  0.89188635,  0.91108018,  0.9735868 ,
        0.95889336,  0.93246388,  0.94834697,  0.89872289,  1.01888537,
        1.26497352,  0.97057366,  0.87952185,  1.27151811,  0.97514623,
        0.92483193,  0.95570052,  0.93518323,  1.01894438,  1.00068367,
        0.79850882,  0.88655591,  0.95610631,  0.91108459,  0.96092129,
        0.9299798 ,  0.97918749,  1.1305989 ,  0.97769105,  0.87418348,
        1.06284881,  0.97409225,  0.9237718 ,  0.95498812,  0.92441183,
        0.92059153,  0.96826422,  0.96282607,  1.02171123,  1.06786036,
        0.9230696 ,  0.96215904,  1.01191533,  0.96522278,  0.94324183,
        0.92250007,  0.99214226,  0.90794963,  0.82233751,  0.91124725,
        0.93789601,  0.96536928,  0.93888623,  0.93543935,  0.98310876,
        0.9461354 ,  0.92974842,  0.94069922,  0.92161709,  0.8371709 ,
        0.84559065,  0.97356308,  0.99000078,  0.80628312,  0.82281405,
        0.90995365,  0.92135733,  0.96799254,  1.01894975,  0.87647444,
        0.73807776,  0.91689718,  0.94266814,  0.8923009 ,  0.89935732,
        0.90988064,  0.88664681,  0.86050808,  0.89371681,  0.86229926,
        0.84994811,  0.88495535,  0.85340351,  0.86477351,  0.86314821,
        0.8721295 ,  0.91708064,  0.92604655,  0.84761405,  0.8580206 ,
        0.86560714,  0.84422892,  0.86392456,  0.88263506,  0.81374145,
        0.84662676,  0.87699014,  0.84842408,  0.84260446,  0.85524011,
        0.8539018 ,  0.84904593,  0.85215211,  0.86985916,  0.88758999,
        0.92218614,  0.90763748,  0.90110356,  0.90508872,  0.89275032,
        0.91952556,  0.89400476,  0.86514568,  0.91060424,  0.90171534,
        0.85748351,  0.83271402,  0.8560524 ,  0.88986951,  0.91736841,
        0.93744195,  0.84088266,  0.82480371,  0.89695752,  0.85976642,
        0.84001756,  0.8655442 ,  0.93387914,  0.91340381,  0.88113463,
        0.8801322 ,  0.88701749,  0.88815528,  0.90062302,  0.90385216,
        0.86097103,  0.89711374,  0.94036555,  0.83782423,  0.82509047,
        0.88284582,  0.86971623,  0.87012541,  0.88034451,  0.87354112,
        0.87604469,  0.82461023,  0.81778383,  0.8698802 ,  0.84656781,
        0.84342861,  0.89018005,  0.87420255,  0.87754107,  0.87289464,
        0.86789399,  0.85427469,  0.86080563,  0.84731203,  0.82963228,
        0.85768723,  0.85764551,  0.86399877,  0.86474687,  0.86290008,
        0.85483479,  0.84399045,  0.87762779,  0.90566123,  0.91499186,
        0.78972429,  0.70146281,  0.76311636,  0.78670615,  0.78895545,
        0.83004695,  0.83584523,  0.82843858,  0.85755944,  0.84808683,
        0.81779647,  0.84691805,  0.83667594,  0.82755953,  0.85195655,
        0.83530617,  0.85497022,  0.84487373,  0.82462257,  0.80627781,
        0.82784456,  0.86099404,  0.8676815 ,  0.87173527,  0.85578841,
        0.82830805,  0.83444375,  0.8500188 ,  0.84053069,  0.86559397,
        0.84361029,  0.86093503,  0.84365588,  0.87631726,  0.94827265,
        0.91643333,  0.70224398,  0.70872647,  0.86697143,  0.88967717,
        0.8683418 ,  0.87065017,  0.85192317,  0.84871864,  0.91237688,
        0.92541945,  0.81548476,  0.83059704,  0.8822329 ,  0.85057551,
        0.84583247,  0.89209229,  0.93516719,  1.02220881,  0.90792269,
        0.91162843,  1.12985349,  1.23699915,  1.17236984,  1.05335355,
        0.92760235,  0.87492442,  0.89789772,  0.88453084,  0.91808939,
        1.02903843,  0.90105462,  0.69909811,  0.58118278,  0.55631608,
        0.76390702,  0.85923707,  0.83815825,  0.62904501,  0.52579981,
        0.68939471,  0.70047385,  0.84945858,  0.92546934,  0.85777003,
        0.83872873,  0.8515591 ,  0.768498  ,  0.78756058,  0.85269397,
        0.85754097,  0.87776649,  0.86026001,  0.84163439,  0.84587842,
        0.89089757,  0.87747258,  0.84662551,  0.84954363,  0.94661003,
        1.02542412,  0.96404815,  0.74589652,  0.43858132,  0.75799477,
        0.9594093 ,  0.92556018,  0.82773834,  0.75460351,  0.90135795,
        0.90755153,  0.86366493,  0.87024826,  0.89470351,  0.85778648,
        0.81483072,  0.80913073,  0.81399459,  0.81664664,  0.83637691,
        0.87261766,  0.90874815,  0.84145015,  0.80338734,  0.8398006 ,
        0.81647021,  0.77238804,  0.79798704,  0.78579187,  0.81707865,
        0.98520666,  1.64582944,  1.2799145 ,  0.86405635,  0.8364597 ,
        0.80926841,  0.8425799 ,  0.91913146,  0.88997239,  0.86723608,
        0.94753689,  0.90334344,  0.71801108,  0.79919362,  0.88603115,
        0.90034509,  0.89683086,  0.86081189,  0.96607548,  1.095909  ,
        0.91181892,  0.59213072,  0.65574682,  0.85230154,  0.8144896 ,
        0.8312459 ,  0.79360425,  0.83739889,  0.88048714,  0.84925455,
        0.78011811,  0.85810238,  0.99340576,  0.89083397,  0.7507959 ,
        0.8669489 ,  0.75977242,  0.88174677,  0.88028562,  0.98652047,
        1.08872807,  0.59873205,  0.60240978,  0.84399205,  0.88177484,
        0.84290624,  0.79236794,  0.89298254,  0.82481015,  0.78726286,
        0.82185215,  0.96863216,  0.8928647 ,  0.77996951,  0.85049093,
        0.86679131,  0.77697641,  0.75931251,  0.7082966 ,  0.8331607 ,
        0.81286013,  0.8408469 ,  0.86887091,  0.86152899,  0.77752018,
        0.78674692,  0.80769193,  0.78928339,  0.74845719,  0.86593252,
        0.87981427,  0.83618838,  0.77429414,  0.79864424,  0.80038255,
        0.90287834,  0.828641  ,  0.78955114,  0.81700206,  0.87271953,
        0.83659929,  0.79449487,  0.8834759 ,  0.76968092,  0.72351706,
        0.83814442,  0.96353686,  1.00209546,  1.00263464,  0.88388544,
        0.5391202 ,  0.56405598,  0.84645599,  0.87275553,  0.66758609,
        0.70138699,  0.94423741,  0.81619805,  0.76781166,  0.80998886,
        0.70225143,  0.83604902,  0.80875462,  0.72259116,  0.80815196,
        0.83415496,  0.67416698,  0.7369374 ,  0.80433667,  0.7175476 ,
        0.78327453,  0.93709832,  0.68851137,  0.        ,  0.        ,
        0.        ,  0.        ,  0.        ], dtype=float32)

Plot the spectrum!


In [18]:
# turn on interactive plotting
%matplotlib notebook


Warning: Cannot change to a different GUI toolkit: notebook. Using nbagg instead.

In [19]:
spax.spectrum.plot()


Out[19]:
<matplotlib.axes._subplots.AxesSubplot at 0x106a99bd0>

Save plot to Downloads directory:


In [20]:
# To save the plot, we need to draw it in the same cell as the save command.
spax.spectrum.plot()

import os
plt.savefig(os.getenv('HOME') + '/Downloads/my-first-spectrum.png')

# NOTE - if you are using the latest version of iPython and Jupyter notebooks, then interactive matplotlib plots 
# should be enabled.  You can save the figure with the save icon in the interactive toolbar.


By default, the spaxel object contains the DAP properties for that spaxel in the unbinned MAPS.


In [21]:
spax.properties


Out[21]:
{u'bin_area': <AnalysisProperty (name=bin_area, channels=None, value=0.5 ivar=None, mask=None)>,
 u'bin_farea': <AnalysisProperty (name=bin_farea, channels=None, value=1.0 ivar=None, mask=None)>,
 u'bin_lwellcoo_lum_weighted_elliptical_azimuth': <AnalysisProperty (name=bin_lwellcoo, channels=lum_weighted_elliptical_azimuth, value=113.661 ivar=None, mask=None)>,
 u'bin_lwellcoo_lum_weighted_elliptical_radius': <AnalysisProperty (name=bin_lwellcoo, channels=lum_weighted_elliptical_radius, value=0.0103323 ivar=None, mask=None)>,
 u'bin_lwskycoo_lum_weighted_on_sky_x': <AnalysisProperty (name=bin_lwskycoo, channels=lum_weighted_on_sky_x, value=-0.00925397 ivar=None, mask=None)>,
 u'bin_lwskycoo_lum_weighted_on_sky_y': <AnalysisProperty (name=bin_lwskycoo, channels=lum_weighted_on_sky_y, value=0.00023976 ivar=None, mask=None)>,
 u'bin_mflux': <AnalysisProperty (name=bin_mflux, channels=None, value=1.05485 ivar=2256.17, mask=0)>,
 u'bin_snr': <AnalysisProperty (name=bin_snr, channels=None, value=51.7457 ivar=None, mask=None)>,
 u'binid': <AnalysisProperty (name=binid, channels=None, value=197 ivar=None, mask=None)>,
 u'emline_gflux_ha_6564': <AnalysisProperty (name=emline_gflux, channels=ha_6564, value=31.4754199982 ivar=47.0896835327, mask=0)>,
 u'emline_gflux_hb_4862': <AnalysisProperty (name=emline_gflux, channels=hb_4862, value=6.46903 ivar=116.449798584, mask=0)>,
 u'emline_gflux_hdel_4102': <AnalysisProperty (name=emline_gflux, channels=hdel_4102, value=0.959292 ivar=167.573699951, mask=0)>,
 u'emline_gflux_hei_5877': <AnalysisProperty (name=emline_gflux, channels=hei_5877, value=0.94644 ivar=65.4858627319, mask=0)>,
 u'emline_gflux_heii_4687': <AnalysisProperty (name=emline_gflux, channels=heii_4687, value=0.0655591 ivar=15.8514404297, mask=1073742080)>,
 u'emline_gflux_heps_3971': <AnalysisProperty (name=emline_gflux, channels=heps_3971, value=0.408048 ivar=208.022750854, mask=0)>,
 u'emline_gflux_hgam_4341': <AnalysisProperty (name=emline_gflux, channels=hgam_4341, value=2.43873 ivar=133.20552063, mask=0)>,
 u'emline_gflux_nii_6549': <AnalysisProperty (name=emline_gflux, channels=nii_6549, value=3.81333 ivar=116.180053711, mask=0)>,
 u'emline_gflux_nii_6585': <AnalysisProperty (name=emline_gflux, channels=nii_6585, value=12.4412679672 ivar=87.8971557617, mask=0)>,
 u'emline_gflux_oi_6302': <AnalysisProperty (name=emline_gflux, channels=oi_6302, value=0.589991 ivar=170.93989563, mask=0)>,
 u'emline_gflux_oi_6365': <AnalysisProperty (name=emline_gflux, channels=oi_6365, value=0.150375 ivar=232.037643433, mask=32)>,
 u'emline_gflux_oii_3727': <AnalysisProperty (name=emline_gflux, channels=oii_3727, value=0.188201755285 ivar=35.0001144409, mask=0)>,
 u'emline_gflux_oii_3729': <AnalysisProperty (name=emline_gflux, channels=oii_3729, value=5.6287 ivar=15.3370466232, mask=0)>,
 u'emline_gflux_oiid_3728': <AnalysisProperty (name=emline_gflux, channels=oiid_3728, value=5.84647 ivar=42.0541496277, mask=0)>,
 u'emline_gflux_oiii_4960': <AnalysisProperty (name=emline_gflux, channels=oiii_4960, value=0.546727 ivar=163.435119629, mask=0)>,
 u'emline_gflux_oiii_5008': <AnalysisProperty (name=emline_gflux, channels=oiii_5008, value=1.65409767628 ivar=140.620117188, mask=0)>,
 u'emline_gflux_sii_6718': <AnalysisProperty (name=emline_gflux, channels=sii_6718, value=4.73007 ivar=118.743682861, mask=0)>,
 u'emline_gflux_sii_6732': <AnalysisProperty (name=emline_gflux, channels=sii_6732, value=3.46099281311 ivar=107.590751648, mask=0)>,
 u'emline_gflux_siii_8831': <AnalysisProperty (name=emline_gflux, channels=siii_8831, value=0.143611 ivar=271.743652344, mask=0)>,
 u'emline_gflux_siii_9071': <AnalysisProperty (name=emline_gflux, channels=siii_9071, value=2.203 ivar=13.4178905487, mask=0)>,
 u'emline_gflux_siii_9533': <AnalysisProperty (name=emline_gflux, channels=siii_9533, value=2.81659 ivar=15.4064559937, mask=0)>,
 u'emline_gsigma_ha_6564': <AnalysisProperty (name=emline_gsigma, channels=ha_6564, value=107.435 ivar=4.1751666069, mask=0)>,
 u'emline_gsigma_hb_4862': <AnalysisProperty (name=emline_gsigma, channels=hb_4862, value=105.546 ivar=0.392026126385, mask=0)>,
 u'emline_gsigma_hdel_4102': <AnalysisProperty (name=emline_gsigma, channels=hdel_4102, value=96.8217 ivar=0.0136438328773, mask=0)>,
 u'emline_gsigma_hei_5877': <AnalysisProperty (name=emline_gsigma, channels=hei_5877, value=144.69 ivar=0.00257457932457, mask=0)>,
 u'emline_gsigma_heii_4687': <AnalysisProperty (name=emline_gsigma, channels=heii_4687, value=30.0 ivar=1.08538342829e-05, mask=1073742080)>,
 u'emline_gsigma_heps_3971': <AnalysisProperty (name=emline_gsigma, channels=heps_3971, value=92.5299 ivar=0.00339015643112, mask=0)>,
 u'emline_gsigma_hgam_4341': <AnalysisProperty (name=emline_gsigma, channels=hgam_4341, value=112.622 ivar=0.053809158504, mask=0)>,
 u'emline_gsigma_nii_6549': <AnalysisProperty (name=emline_gsigma, channels=nii_6549, value=111.028 ivar=0.123024255037, mask=0)>,
 u'emline_gsigma_nii_6585': <AnalysisProperty (name=emline_gsigma, channels=nii_6585, value=110.854 ivar=1.02286744118, mask=0)>,
 u'emline_gsigma_oi_6302': <AnalysisProperty (name=emline_gsigma, channels=oi_6302, value=83.3232 ivar=0.00721633573994, mask=0)>,
 u'emline_gsigma_oi_6365': <AnalysisProperty (name=emline_gsigma, channels=oi_6365, value=70.4734 ivar=0.000877198704984, mask=32)>,
 u'emline_gsigma_oii_3727': <AnalysisProperty (name=emline_gsigma, channels=oii_3727, value=41.6102 ivar=0.000414749665651, mask=0)>,
 u'emline_gsigma_oii_3729': <AnalysisProperty (name=emline_gsigma, channels=oii_3729, value=176.201 ivar=0.0171141214669, mask=0)>,
 u'emline_gsigma_oiid_3728': <AnalysisProperty (name=emline_gsigma, channels=oiid_3728, value=183.535 ivar=0.0396473892033, mask=0)>,
 u'emline_gsigma_oiii_4960': <AnalysisProperty (name=emline_gsigma, channels=oiii_4960, value=106.081 ivar=0.00351409520954, mask=0)>,
 u'emline_gsigma_oiii_5008': <AnalysisProperty (name=emline_gsigma, channels=oiii_5008, value=114.547 ivar=0.0244274772704, mask=0)>,
 u'emline_gsigma_sii_6718': <AnalysisProperty (name=emline_gsigma, channels=sii_6718, value=105.018 ivar=0.217996761203, mask=0)>,
 u'emline_gsigma_sii_6732': <AnalysisProperty (name=emline_gsigma, channels=sii_6732, value=108.367 ivar=0.0989250764251, mask=0)>,
 u'emline_gsigma_siii_8831': <AnalysisProperty (name=emline_gsigma, channels=siii_8831, value=39.4154 ivar=0.00115497189108, mask=0)>,
 u'emline_gsigma_siii_9071': <AnalysisProperty (name=emline_gsigma, channels=siii_9071, value=95.9061 ivar=0.0120693799108, mask=0)>,
 u'emline_gsigma_siii_9533': <AnalysisProperty (name=emline_gsigma, channels=siii_9533, value=100.141 ivar=0.0123395444825, mask=0)>,
 u'emline_gvel_ha_6564': <AnalysisProperty (name=emline_gvel, channels=ha_6564, value=0.62407 ivar=3.64958429337, mask=0)>,
 u'emline_gvel_hb_4862': <AnalysisProperty (name=emline_gvel, channels=hb_4862, value=2.06828 ivar=0.407559484243, mask=0)>,
 u'emline_gvel_hdel_4102': <AnalysisProperty (name=emline_gvel, channels=hdel_4102, value=-4.5836 ivar=0.0154881989583, mask=0)>,
 u'emline_gvel_hei_5877': <AnalysisProperty (name=emline_gvel, channels=hei_5877, value=45.3464 ivar=0.00309667433612, mask=0)>,
 u'emline_gvel_heii_4687': <AnalysisProperty (name=emline_gvel, channels=heii_4687, value=68.5699 ivar=4.95216518175e-05, mask=1073742080)>,
 u'emline_gvel_heps_3971': <AnalysisProperty (name=emline_gvel, channels=heps_3971, value=9.14683 ivar=0.00389168644324, mask=0)>,
 u'emline_gvel_hgam_4341': <AnalysisProperty (name=emline_gvel, channels=hgam_4341, value=2.59348 ivar=0.0599127821624, mask=0)>,
 u'emline_gvel_nii_6549': <AnalysisProperty (name=emline_gvel, channels=nii_6549, value=1.25175 ivar=0.135599672794, mask=0)>,
 u'emline_gvel_nii_6585': <AnalysisProperty (name=emline_gvel, channels=nii_6585, value=1.7015 ivar=1.0590736866, mask=0)>,
 u'emline_gvel_oi_6302': <AnalysisProperty (name=emline_gvel, channels=oi_6302, value=6.21784 ivar=0.00842358358204, mask=0)>,
 u'emline_gvel_oi_6365': <AnalysisProperty (name=emline_gvel, channels=oi_6365, value=66.038 ivar=0.00101713696495, mask=32)>,
 u'emline_gvel_oii_3727': <AnalysisProperty (name=emline_gvel, channels=oii_3727, value=-102.123 ivar=0.00141055043787, mask=0)>,
 u'emline_gvel_oii_3729': <AnalysisProperty (name=emline_gvel, channels=oii_3729, value=-85.1366 ivar=0.0123348906636, mask=0)>,
 u'emline_gvel_oiid_3728': <AnalysisProperty (name=emline_gvel, channels=oiid_3728, value=17.8919 ivar=0.0415128543973, mask=0)>,
 u'emline_gvel_oiii_4960': <AnalysisProperty (name=emline_gvel, channels=oiii_4960, value=20.1336 ivar=0.00389297003858, mask=0)>,
 u'emline_gvel_oiii_5008': <AnalysisProperty (name=emline_gvel, channels=oiii_5008, value=1.08902 ivar=0.0262244716287, mask=0)>,
 u'emline_gvel_sii_6718': <AnalysisProperty (name=emline_gvel, channels=sii_6718, value=3.03573 ivar=0.243650242686, mask=0)>,
 u'emline_gvel_sii_6732': <AnalysisProperty (name=emline_gvel, channels=sii_6732, value=6.64201 ivar=0.109866134822, mask=0)>,
 u'emline_gvel_siii_8831': <AnalysisProperty (name=emline_gvel, channels=siii_8831, value=122.878 ivar=0.00165161443874, mask=0)>,
 u'emline_gvel_siii_9071': <AnalysisProperty (name=emline_gvel, channels=siii_9071, value=6.04248 ivar=0.00864528026432, mask=0)>,
 u'emline_gvel_siii_9533': <AnalysisProperty (name=emline_gvel, channels=siii_9533, value=26.6156 ivar=0.0127635598183, mask=0)>,
 u'emline_instsigma_ha_6564': <AnalysisProperty (name=emline_instsigma, channels=ha_6564, value=76.2874 ivar=None, mask=None)>,
 u'emline_instsigma_hb_4862': <AnalysisProperty (name=emline_instsigma, channels=hb_4862, value=81.8388 ivar=None, mask=None)>,
 u'emline_instsigma_hdel_4102': <AnalysisProperty (name=emline_instsigma, channels=hdel_4102, value=102.969 ivar=None, mask=None)>,
 u'emline_instsigma_hei_5877': <AnalysisProperty (name=emline_instsigma, channels=hei_5877, value=77.2739 ivar=None, mask=None)>,
 u'emline_instsigma_heii_4687': <AnalysisProperty (name=emline_instsigma, channels=heii_4687, value=0.0 ivar=None, mask=None)>,
 u'emline_instsigma_heps_3971': <AnalysisProperty (name=emline_instsigma, channels=heps_3971, value=107.301 ivar=None, mask=None)>,
 u'emline_instsigma_hgam_4341': <AnalysisProperty (name=emline_instsigma, channels=hgam_4341, value=95.5611 ivar=None, mask=None)>,
 u'emline_instsigma_nii_6549': <AnalysisProperty (name=emline_instsigma, channels=nii_6549, value=76.4535 ivar=None, mask=None)>,
 u'emline_instsigma_nii_6585': <AnalysisProperty (name=emline_instsigma, channels=nii_6585, value=76.0703 ivar=None, mask=None)>,
 u'emline_instsigma_oi_6302': <AnalysisProperty (name=emline_instsigma, channels=oi_6302, value=79.2836 ivar=None, mask=None)>,
 u'emline_instsigma_oi_6365': <AnalysisProperty (name=emline_instsigma, channels=oi_6365, value=78.5168 ivar=None, mask=None)>,
 u'emline_instsigma_oii_3727': <AnalysisProperty (name=emline_instsigma, channels=oii_3727, value=115.567 ivar=None, mask=None)>,
 u'emline_instsigma_oii_3729': <AnalysisProperty (name=emline_instsigma, channels=oii_3729, value=115.505 ivar=None, mask=None)>,
 u'emline_instsigma_oiid_3728': <AnalysisProperty (name=emline_instsigma, channels=oiid_3728, value=115.509 ivar=None, mask=None)>,
 u'emline_instsigma_oiii_4960': <AnalysisProperty (name=emline_instsigma, channels=oiii_4960, value=79.692 ivar=None, mask=None)>,
 u'emline_instsigma_oiii_5008': <AnalysisProperty (name=emline_instsigma, channels=oiii_5008, value=78.7436 ivar=None, mask=None)>,
 u'emline_instsigma_sii_6718': <AnalysisProperty (name=emline_instsigma, channels=sii_6718, value=74.6721 ivar=None, mask=None)>,
 u'emline_instsigma_sii_6732': <AnalysisProperty (name=emline_instsigma, channels=sii_6732, value=74.5232 ivar=None, mask=None)>,
 u'emline_instsigma_siii_8831': <AnalysisProperty (name=emline_instsigma, channels=siii_8831, value=56.6193 ivar=None, mask=None)>,
 u'emline_instsigma_siii_9071': <AnalysisProperty (name=emline_instsigma, channels=siii_9071, value=56.4816 ivar=None, mask=None)>,
 u'emline_instsigma_siii_9533': <AnalysisProperty (name=emline_instsigma, channels=siii_9533, value=59.2825 ivar=None, mask=None)>,
 u'emline_sew_ha_6564': <AnalysisProperty (name=emline_sew, channels=ha_6564, value=28.8814373016 ivar=92.292388916, mask=0)>,
 u'emline_sew_hb_4862': <AnalysisProperty (name=emline_sew, channels=hb_4862, value=5.89019775391 ivar=94.5422286987, mask=0)>,
 u'emline_sew_hdel_4102': <AnalysisProperty (name=emline_sew, channels=hdel_4102, value=0.607999444008 ivar=50.7911720276, mask=0)>,
 u'emline_sew_hei_5877': <AnalysisProperty (name=emline_sew, channels=hei_5877, value=0.883851706982 ivar=99.166343689, mask=0)>,
 u'emline_sew_heii_4687': <AnalysisProperty (name=emline_sew, channels=heii_4687, value=-0.209642589092 ivar=91.360206604, mask=0)>,
 u'emline_sew_heps_3971': <AnalysisProperty (name=emline_sew, channels=heps_3971, value=0.61309337616 ivar=42.8005523682, mask=0)>,
 u'emline_sew_hgam_4341': <AnalysisProperty (name=emline_sew, channels=hgam_4341, value=2.31119704247 ivar=63.5453681946, mask=0)>,
 u'emline_sew_nii_6549': <AnalysisProperty (name=emline_sew, channels=nii_6549, value=3.45532417297 ivar=242.143692017, mask=0)>,
 u'emline_sew_nii_6585': <AnalysisProperty (name=emline_sew, channels=nii_6585, value=11.4716386795 ivar=138.050491333, mask=0)>,
 u'emline_sew_oi_6302': <AnalysisProperty (name=emline_sew, channels=oi_6302, value=0.365917444229 ivar=159.873519897, mask=0)>,
 u'emline_sew_oi_6365': <AnalysisProperty (name=emline_sew, channels=oi_6365, value=-0.0475944392383 ivar=185.969421387, mask=0)>,
 u'emline_sew_oii_3727': <AnalysisProperty (name=emline_sew, channels=oii_3727, value=0.0 ivar=0.0, mask=1073741840)>,
 u'emline_sew_oii_3729': <AnalysisProperty (name=emline_sew, channels=oii_3729, value=0.0 ivar=0.0, mask=1073741840)>,
 u'emline_sew_oiid_3728': <AnalysisProperty (name=emline_sew, channels=oiid_3728, value=10.4243888855 ivar=10.4577541351, mask=0)>,
 u'emline_sew_oiii_4960': <AnalysisProperty (name=emline_sew, channels=oiii_4960, value=0.489810168743 ivar=106.730903625, mask=0)>,
 u'emline_sew_oiii_5008': <AnalysisProperty (name=emline_sew, channels=oiii_5008, value=1.65789568424 ivar=103.207641602, mask=0)>,
 u'emline_sew_sii_6718': <AnalysisProperty (name=emline_sew, channels=sii_6718, value=4.44641256332 ivar=247.164352417, mask=0)>,
 u'emline_sew_sii_6732': <AnalysisProperty (name=emline_sew, channels=sii_6732, value=3.24782037735 ivar=224.483001709, mask=0)>,
 u'emline_sew_siii_8831': <AnalysisProperty (name=emline_sew, channels=siii_8831, value=0.208137333393 ivar=208.303222656, mask=0)>,
 u'emline_sew_siii_9071': <AnalysisProperty (name=emline_sew, channels=siii_9071, value=1.49648869038 ivar=21.6301193237, mask=0)>,
 u'emline_sew_siii_9533': <AnalysisProperty (name=emline_sew, channels=siii_9533, value=4.27848720551 ivar=31.2339344025, mask=0)>,
 u'emline_sflux_ha_6564': <AnalysisProperty (name=emline_sflux, channels=ha_6564, value=31.1677 ivar=79.2489013672, mask=0)>,
 u'emline_sflux_hb_4862': <AnalysisProperty (name=emline_sflux, channels=hb_4862, value=6.18921 ivar=85.627784729, mask=0)>,
 u'emline_sflux_hdel_4102': <AnalysisProperty (name=emline_sflux, channels=hdel_4102, value=0.536861 ivar=65.1435165405, mask=0)>,
 u'emline_sflux_hei_5877': <AnalysisProperty (name=emline_sflux, channels=hei_5877, value=0.910585 ivar=93.4291915894, mask=0)>,
 u'emline_sflux_heii_4687': <AnalysisProperty (name=emline_sflux, channels=heii_4687, value=-0.220511 ivar=82.5761032104, mask=0)>,
 u'emline_sflux_heps_3971': <AnalysisProperty (name=emline_sflux, channels=heps_3971, value=0.496755 ivar=65.1956481934, mask=0)>,
 u'emline_sflux_hgam_4341': <AnalysisProperty (name=emline_sflux, channels=hgam_4341, value=2.15802 ivar=72.8864898682, mask=0)>,
 u'emline_sflux_nii_6549': <AnalysisProperty (name=emline_sflux, channels=nii_6549, value=3.73008 ivar=207.785003662, mask=0)>,
 u'emline_sflux_nii_6585': <AnalysisProperty (name=emline_sflux, channels=nii_6585, value=12.374 ivar=118.650268555, mask=0)>,
 u'emline_sflux_oi_6302': <AnalysisProperty (name=emline_sflux, channels=oi_6302, value=0.387552 ivar=142.52192688, mask=0)>,
 u'emline_sflux_oi_6365': <AnalysisProperty (name=emline_sflux, channels=oi_6365, value=-0.0515111 ivar=158.764221191, mask=0)>,
 u'emline_sflux_oii_3727': <AnalysisProperty (name=emline_sflux, channels=oii_3727, value=0.0 ivar=0.0, mask=1073741840)>,
 u'emline_sflux_oii_3729': <AnalysisProperty (name=emline_sflux, channels=oii_3729, value=0.0 ivar=0.0, mask=1073741840)>,
 u'emline_sflux_oiid_3728': <AnalysisProperty (name=emline_sflux, channels=oiid_3728, value=6.17741 ivar=29.7801208496, mask=0)>,
 u'emline_sflux_oiii_4960': <AnalysisProperty (name=emline_sflux, channels=oiii_4960, value=0.516368 ivar=96.0343170166, mask=0)>,
 u'emline_sflux_oiii_5008': <AnalysisProperty (name=emline_sflux, channels=oiii_5008, value=1.70083 ivar=98.0624237061, mask=0)>,
 u'emline_sflux_sii_6718': <AnalysisProperty (name=emline_sflux, channels=sii_6718, value=4.77541 ivar=214.281173706, mask=0)>,
 u'emline_sflux_sii_6732': <AnalysisProperty (name=emline_sflux, channels=sii_6732, value=3.4848 ivar=194.989364624, mask=0)>,
 u'emline_sflux_siii_8831': <AnalysisProperty (name=emline_sflux, channels=siii_8831, value=0.203115 ivar=218.730911255, mask=0)>,
 u'emline_sflux_siii_9071': <AnalysisProperty (name=emline_sflux, channels=siii_9071, value=1.44275 ivar=23.2714061737, mask=0)>,
 u'emline_sflux_siii_9533': <AnalysisProperty (name=emline_sflux, channels=siii_9533, value=3.84384 ivar=38.6969680786, mask=0)>,
 u'specindex_corr_d4000': <AnalysisProperty (name=specindex_corr, channels=d4000, value=1.00082 ivar=None, mask=None)>,
 u'specindex_corr_dn4000': <AnalysisProperty (name=specindex_corr, channels=dn4000, value=1.0019 ivar=None, mask=None)>,
 u'specindex_d4000': <AnalysisProperty (name=specindex, channels=d4000, value=1.51411 ivar=28732.9882812, mask=0)>,
 u'specindex_dn4000': <AnalysisProperty (name=specindex, channels=dn4000, value=1.3143 ivar=20356.1953125, mask=0)>,
 u'spx_ellcoo_elliptical_azimuth': <AnalysisProperty (name=spx_ellcoo, channels=elliptical_azimuth, value=113.661 ivar=None, mask=None)>,
 u'spx_ellcoo_elliptical_radius': <AnalysisProperty (name=spx_ellcoo, channels=elliptical_radius, value=0.0103323 ivar=None, mask=None)>,
 u'spx_mflux': <AnalysisProperty (name=spx_mflux, channels=None, value=1.05485 ivar=1.05485, mask=None)>,
 u'spx_skycoo_on_sky_x': <AnalysisProperty (name=spx_skycoo, channels=on_sky_x, value=-0.00925397 ivar=None, mask=None)>,
 u'spx_skycoo_on_sky_y': <AnalysisProperty (name=spx_skycoo, channels=on_sky_y, value=0.00023976 ivar=None, mask=None)>,
 u'spx_snr': <AnalysisProperty (name=spx_snr, channels=None, value=51.7457 ivar=None, mask=None)>,
 u'stellar_cont_fresid_68th_percentile': <AnalysisProperty (name=stellar_cont_fresid, channels=68th_percentile, value=0.0256727 ivar=None, mask=None)>,
 u'stellar_cont_fresid_99th_percentile': <AnalysisProperty (name=stellar_cont_fresid, channels=99th_percentile, value=0.106305 ivar=None, mask=None)>,
 u'stellar_cont_rchi2': <AnalysisProperty (name=stellar_cont_rchi2, channels=None, value=1.13474 ivar=None, mask=None)>,
 u'stellar_sigma': <AnalysisProperty (name=stellar_sigma, channels=None, value=89.046 ivar=0.100741, mask=0)>,
 u'stellar_sigmacorr': <AnalysisProperty (name=stellar_sigmacorr, channels=None, value=62.3983 ivar=None, mask=None)>,
 u'stellar_vel': <AnalysisProperty (name=stellar_vel, channels=None, value=35.5337 ivar=0.166013, mask=0)>}

In [23]:
# Gets the ha_alpha flux and the ivar
ha_flux = spax.properties['emline_gflux_ha_6564']
print(ha_flux.value, ha_flux.ivar, ha_flux.mask)


31.4754199982 47.0896835327 0

Marvin Maps

Marvin Maps is how you deal with the DAP MAPS FITS files easily. You can retrieve maps in several ways. Let's take a took.

From a Marvin Maps

Marvin Maps takes the same inputs as cube: filename, plateifu, or mangaid. It also accepts keywords bintype and template_kin. These uniquely define a DAP MAPS file. By default, Marvin will load a MAPS file of bintype=SPX and template_kin=GAU-MILESHC for MPL-5. For MPL-4, the defaults are bintype=NONE, and template_kin=MIUSCAT-THIN.


In [24]:
# import the maps
from marvin.tools.maps import Maps

# Load a MPL-5 map
mapfile = './manga-8485-1901-MAPS-SPX-GAU-MILESHC.fits.gz'
# Let's get a default map of

maps = Maps(filename=mapfile)
print(maps)


<Marvin Maps (plateifu='8485-1901', mode='local', data_origin='file', bintype=SPX,template_kin=GAU-MILESHC)>

Once you have a maps object, you can access the raw maps file and header and extensions via maps.header and maps.data. Alternatively, you can access individual maps using the getMap method. getMap works by specifying a parameter and a channel. The parameter and channels names are equivalent to those found in the MAPS FITS extensions and headers, albeit lowercased.


In [25]:
# Let's grab the H-alpha flux emission line map
haflux = maps.getMap('emline_gflux', channel='ha_6564')
print(haflux)


<Marvin Map (plateifu='8485-1901', property='emline_gflux', channel='ha_6564')>

In [26]:
# turn on interactive plotting
%matplotlib notebook

# let's plot it
haflux.plot()


Warning: Cannot change to a different GUI toolkit: notebook. Using nbagg instead.
Out[26]:
<matplotlib.axes._subplots.AxesSubplot at 0x10c2cd650>

In [27]:
# You can get the flux and ivar arrays
haflux.value, haflux.mask


Out[27]:
(array([[  0.        ,   0.        ,   0.        ,   0.        ,
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                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0, 1073741840, 1073741842,
         1073741842, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741842, 1073741842, 1073741842,
         1073741840,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,         32, 1073741840,
         1073741842, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741842, 1073741842, 1073741842,
         1073741840, 1073742080,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0, 1073741840,
         1073741840, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741842, 1073741842, 1073741842,
         1073741840, 1073742080, 1073742080,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0, 1073741840,
         1073741840, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741842, 1073741842,
         1073741840, 1073742080,          0, 1073742080,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0, 1073741840,
         1073741840, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741842, 1073741842,
         1073741840, 1073742080, 1073742080,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0, 1073741840, 1073741842,
         1073741842, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741842,
         1073741842, 1073741840, 1073742080, 1073742080,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0, 1073741840, 1073741842,
         1073741842, 1073741842, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741842,
         1073741842, 1073741842, 1073741840, 1073742080,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0, 1073741840,         32, 1073741840, 1073741842,
         1073741842, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741842,
         1073741842, 1073741842, 1073741840, 1073741840,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0, 1073741840, 1073741840, 1073741842, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741842, 1073741842, 1073741840,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0, 1073741840, 1073741842, 1073741842, 1073741842,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741842, 1073741842, 1073741840, 1073741840,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
         1073741840, 1073741842, 1073741842, 1073741842, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741842, 1073741842, 1073741842, 1073741840,
         1073742080,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0, 1073741842, 1073741842, 1073741842, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741842, 1073741842, 1073741842,
         1073741840,         32,          0,          0,          0,
                  0,          0,          0,          0,          0,
                  0,          0,          0,          0, 1073741840,
         1073741840, 1073741842, 1073741842, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741842, 1073741842, 1073741842,
         1073741840, 1073741840, 1073741840, 1073741840, 1073741840,
                  0, 1073741840, 1073741840, 1073741840, 1073741840,
                  0, 1073741840, 1073741840, 1073741840, 1073741840,
         1073741842, 1073741842, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741842, 1073741842,
         1073741840, 1073741840, 1073741840, 1073741842, 1073741840,
                  0, 1073741840, 1073741840, 1073741842, 1073741840,
                  0, 1073741840, 1073741840, 1073741842, 1073741842,
         1073741842, 1073741842, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741842, 1073741842, 1073741842, 1073741842, 1073741842,
         1073741842, 1073741840, 1073741842, 1073741842, 1073741842,
         1073741840, 1073741840, 1073741842, 1073741842, 1073741842,
         1073741842, 1073741842, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741842, 1073741842, 1073741842, 1073741842,
         1073741843, 1073741842, 1073741842, 1073741842, 1073741842,
         1073741843, 1073741842, 1073741842, 1073741842, 1073741842,
         1073741842, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843],
        [1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843, 1073741843,
         1073741843, 1073741843, 1073741843, 1073741843]], dtype=int32))

From the maps object, we can also easily plot the ratio between two maps, e.g. emission-line ratios, using the getMapRatio method. Map ratios are Map objects the same as any other, so you can access their array values or plot them


In [30]:
# Let's look at the NII-to-Halpha emission-line ratio map
niiha = maps.getMapRatio('emline_gflux', 'nii_6585', 'ha_6564')
print(niiha)
niiha.plot()


<Marvin Map (plateifu='8485-1901', property='emline_gflux', channel='nii_6585/ha_6564')>
Out[30]:
<matplotlib.axes._subplots.AxesSubplot at 0x10e004ed0>

From a Marvin Cube

Once we have a cube, we can get its maps using the getMaps method. getMaps is just a wrapper to the Marvin Maps Tool. Once we have the maps, we can do all the same things as before.


In [ ]:
maps = cc.getMaps()
print(maps)

Note that the cube was opened from remote!

Marvin: now with ModelCubes

MPL-5 introduced LOGCUBE files, which contain the fitted spectra for each spaxel. LOGCUBES are called ModelCube in Marvin, and they are instantiated in the same way as a Cube or a Maps. Let's see it.


In [31]:
from marvin.tools.modelcube import ModelCube

In [32]:
# For the sake of variety, let's open this ModelCube remotely. For that, simply use the plate-ifu of the target.
model_cube = ModelCube(plateifu='8485-1901', bintype='VOR10')
print(model_cube)


<Marvin ModelCube (plateifu='8485-1901', mode='remote', data_origin='api', bintype=u'VOR10', template_kin=u'GAU-MILESHC')>

IMPORTANT: the remote mode rocks!

Let's see a bit more about the model_cube. We can get a spaxel, which will include the properties and the cube spectrum.


In [33]:
sp = model_cube.getSpaxel(x=0, y=0)
print(sp.cube)
print(sp.maps)
print(sp.modelcube)
print('Spaxel bintype is:', sp.bintype)


<Marvin Cube (plateifu='8485-1901', mode='remote', data_origin='api')>
<Marvin Maps (plateifu='8485-1901', mode='remote', data_origin='api', bintype=SPX,template_kin=GAU-MILESHC)>
<Marvin ModelCube (plateifu='8485-1901', mode='remote', data_origin='api', bintype=u'SPX', template_kin=u'GAU-MILESHC')>
Spaxel bintype is: SPX

VERY IMPORTANT: although the original ModelCube was binned (VOR10) an Spaxel is always unbinned (SPX)!!!

We can get the model spectrum for this spaxel. And plot it.


In [36]:
cube_spectrum = sp.spectrum
model_spectrum = sp.model
ax = cube_spectrum.plot(xlim=[6500, 9000])
ax.plot(model_spectrum.wavelength, model_spectrum.flux, 'r')
print(model_spectrum.mask)


None

Saving the spaxel

Starting in Marvin Beta, you can pickle all the objects and restore them later. Let's assume you want to save that last spaxel. You simply do.


In [37]:
sp.save('such_a_great_spaxel.mpf')


Out[37]:
'/Users/albireo/Downloads/marvin_workshop/such_a_great_spaxel.mpf'

And then you can restore by doing


In [38]:
from marvin.tools.spaxel import Spaxel
restored_spaxel = Spaxel.restore('such_a_great_spaxel.mpf')
print(restored_spaxel)


WARNING: The WCS transformation has more axes (3) than the image it is associated with
         (0)
<Marvin Spaxel (x=17, y=17; x_cen=0, y_cen=0>

It works for all the objects!

Downlading data

We have seen that the remote mode allows you to access all the Manga data without worrying where it actually lives. However, once you have located the data you want to use for your science you probably will want to download it for faster/airplane access. That easy to do with Marvin. Let's start by creating a maps from remote.


In [ ]:
from marvin.tools.maps import Maps
remote_maps = Maps(plateifu='8485-1902', mode='remote')
print(remote_maps)

Now let's download it!


In [ ]:
filename = remote_maps.download()
print(filename)

Binned data

For many science purposes, you will want to use binned data. The DAP produces MAPS and LOGCUBES with different types of binning schemas and kinnematic templates. Refer to the DAP documentation for more information.

Marvin makes very easy to access binned data without needing to know much about the gory details of the data model. We have seen already how to get a binned Maps. Now, let's see how to get a Bin and access its spaxels.


In [39]:
from marvin.tools.bin import Bin
bin_100 = Bin(binid=100, plateifu='8485-1901', bintype='VOR10')
print(bin_100)


<Marvin Bin (binid=100, n_spaxels=2, bintype=VOR10, template_kin=GAU-MILESHC)>

You can access all the properties and model data for the bin as you do with an spaxel.


In [40]:
print(bin_100.properties['emline_gflux_ha_6564'])


<AnalysisProperty (name=emline_gflux, channels=ha_6564, value=4.87482595444 ivar=133.923110962, mask=0)>

In [41]:
bin_100.model.plot()


Out[41]:
<matplotlib.axes._subplots.AxesSubplot at 0x112f0fa10>

But you can also access the (unbinned) spaxels for that bin.


In [42]:
print(bin_100.spaxels)


[<Marvin Spaxel (x=18, y=22, loaded=False), <Marvin Spaxel (x=18, y=23, loaded=False)]

You will note that the spaxels are not loaded. That means that the spectra and properties have not yet been retrieved for each spaxel. That is call lazy loading and we do it to improve loading time. You can then load any (or all) of the spaxels doing


In [45]:
bin_100.spaxels[0].load()
print(bin_100.spaxels)
bin_100.spaxels[0].bintype
bin_100.spaxels[0].properties['emline_gflux_ha_6564']


[<Marvin Spaxel (x=18, y=22; x_cen=1, y_cen=5>, <Marvin Spaxel (x=18, y=23, loaded=False)]
Out[45]:
<AnalysisProperty (name=emline_gflux, channels=ha_6564, value=4.87482595444 ivar=133.923110962, mask=0)>