Add CMS_TTB_8TEV_2D grids

[cschwan]

Result for the TTM_TRAP grid:

   PineAPPL         MC        sigma      central         min      max 
                              1/100   sigma   1/1000   1/1000   1/1000
----------------------------------------------------------------------
 1.311377e+01  1.311299e+01   0.053   0.114   0.0597   0.0577   0.0642
 1.664682e+01  1.664020e+01   0.043   0.920   0.3978   0.4278   0.3561
 1.412514e+01  1.412249e+01   0.050   0.373   0.1879   0.1955   0.1743
 8.545668e+00  8.545810e+00   0.093   0.018   0.0166   0.0354   0.0105
 2.168749e+01  2.167976e+01   0.045   0.801   0.3565   0.3880   0.3246
 2.651202e+01  2.650650e+01   0.059   0.356   0.2083   0.2325   0.1841
 2.200552e+01  2.199958e+01   0.118   0.229   0.2701   0.2909   0.2489
 1.347035e+01  1.347064e+01   0.214   0.010   0.0215   0.0336   0.0067
 1.269538e+01  1.269187e+01   0.081   0.342   0.2767   0.3019   0.2474
 1.547207e+01  1.546577e+01   0.071   0.578   0.4076   0.4446   0.3598
 1.346821e+01  1.346327e+01   0.080   0.462   0.3670   0.3945   0.3304
 9.406538e+00  9.406787e+00   0.073   0.036   0.0265   0.0408   0.0047
 5.107627e+00  5.106697e+00   0.164   0.111   0.1820   0.1940   0.1752
 6.478143e+00  6.475772e+00   0.131   0.280   0.3661   0.4010   0.3223
 7.092014e+00  7.087261e+00   0.154   0.436   0.6706   0.7257   0.5956
 6.476083e+00  6.475440e+00   0.163   0.061   0.0994   0.1031   0.0967

[cschwan]

Result for TTM_TTRAP grid:

   PineAPPL         MC        sigma      central         min      max 
                              1/100   sigma   1/1000   1/1000   1/1000
----------------------------------------------------------------------
 1.347101e+01  1.347292e+01   0.040   0.354   0.1413   0.1685   0.1007
 1.384937e+01  1.383888e+01   0.048   1.580   0.7576   0.8260   0.6615
 1.105290e+01  1.105132e+01   0.054   0.267   0.1437   0.1427   0.1404
 1.415802e+01  1.415825e+01   0.054   0.030   0.0164   0.0276   0.0001
 2.304689e+01  2.304497e+01   0.035   0.239   0.0834   0.0975   0.0753
 2.336406e+01  2.334589e+01   0.038   2.032   0.7783   0.8593   0.6777
 1.797411e+01  1.797534e+01   0.026   0.269   0.0686   0.0959   0.0293
 1.929493e+01  1.929490e+01   0.040   0.004   0.0015   0.0029   0.0217
 1.548244e+01  1.547073e+01   0.056   1.346   0.7568   0.8405   0.6487
 1.534003e+01  1.533694e+01   0.049   0.409   0.2017   0.2149   0.1837
 1.106589e+01  1.106609e+01   0.058   0.030   0.0174   0.0310   0.0010
 9.156840e+00  9.156946e+00   0.081   0.014   0.0116   0.0312   0.0213
 8.848567e+00  8.839714e+00   0.095   1.051   1.0015   1.1035   0.8624
 8.343414e+00  8.343454e+00   0.084   0.006   0.0048   0.0076   0.0015
 5.229780e+00  5.229836e+00   0.098   0.011   0.0107   0.0080   0.0098
 2.730001e+00  2.730055e+00   0.188   0.011   0.0198   0.0862   0.0848

[cschwan]

Result for the TRAP_TPT grid:

   PineAPPL         MC        sigma      central         min      max 
                              1/100   sigma   1/1000   1/1000   1/1000
----------------------------------------------------------------------
 1.869506e+01  1.869158e+01   0.063   0.297   0.1860   0.1946   0.1775
 1.969838e+01  1.969385e+01   0.045   0.509   0.2302   0.2540   0.2099
 1.041951e+01  1.041600e+01   0.089   0.379   0.3369   0.3702   0.2964
 2.833407e+00  2.831908e+00   0.145   0.365   0.5290   0.5808   0.4585
 2.330940e+01  2.330415e+01   0.053   0.424   0.2253   0.2418   0.2045
 2.513230e+01  2.512417e+01   0.047   0.693   0.3238   0.3592   0.2857
 1.316896e+01  1.316286e+01   0.096   0.480   0.4632   0.5057   0.4053
 3.477437e+00  3.476103e+00   0.122   0.315   0.3839   0.4113   0.3444
 2.107228e+01  2.106358e+01   0.048   0.853   0.4129   0.4432   0.3677
 2.205031e+01  2.204278e+01   0.053   0.647   0.3414   0.3668   0.3131
 1.094877e+01  1.094684e+01   0.076   0.231   0.1757   0.1784   0.1697
 2.608017e+00  2.607770e+00   0.118   0.080   0.0945   0.0917   0.0963
 1.578711e+01  1.578712e+01   0.067   0.001   0.0009   0.0161   0.0184
 1.493146e+01  1.493160e+01   0.084   0.012   0.0098   0.0157   0.0109
 6.235262e+00  6.235161e+00   0.093   0.017   0.0161   0.0004   0.0394
 1.044806e+00  1.044769e+00   0.224   0.016   0.0350   0.0108   0.0695

[cschwan]

Plot for TRAP_TPT (0 < yt < 0.35):

TRAP_TPT (0.35 < yt < 0.85):

TRAP_TPT (0.85 < yt < 1.45):

TRAP_TPT (1.45 < yt < 2.5):

[cschwan]

Plot for TTM_TRAP (340 < Mtt < 400):

TTM_TRAP (400 < Mtt < 500):

TTM_TRAP (500 < Mtt < 650):

TTM_TRAP (650 < Mtt < 1500):

[cschwan]

Plot for TTM_TTRAP (340 < Mtt < 400):

TTM_TTRAP (400 < Mtt < 500):

TTM_TTRAP (500 < Mtt < 650):

TTM_TTRAP (650 < Mtt < 1500):

[enocera]

May I suggest to change the y-axis label in the first inset of all of the plots in order to clarify that the distribution is double differential? Example (for the first plot):
dsigma/dyt -> dsigma/dytdpTt

[cschwan]

@enocera The previous commit makes all distributions two dimensional.

Results:

bin    yt       ptt   d2sig/dyt/dptt neg unc pos unc
---+----+----+---+---+--------------+-------+-------
  0    0 0.35   0  80   6.6768066e-1 -12.98%  12.99%
  1    0 0.35  80 150   8.0401565e-1 -12.69%  12.17%
  2    0 0.35 150 250   2.9770022e-1 -13.17%  12.77%
  3    0 0.35 250 600   2.3129849e-2 -13.98%  14.02%
  4 0.35 0.85   0  80   5.8273500e-1 -12.85%  12.81%
  5 0.35 0.85  80 150   7.1806573e-1 -12.69%  12.17%
  6 0.35 0.85 150 250   2.6337918e-1 -13.21%  12.81%
  7 0.35 0.85 250 600   1.9871069e-2 -14.02%  14.04%
  8 0.85 1.45   0  80   4.3900574e-1 -12.91%  12.85%
  9 0.85 1.45  80 150   5.2500729e-1 -12.86%  12.42%
 10 0.85 1.45 150 250   1.8247943e-1 -13.38%  13.02%
 11 0.85 1.45 250 600   1.2419128e-2 -14.26%  14.28%
 12 1.45  2.5   0  80   1.8794175e-1 -13.39%  13.36%
 13 1.45  2.5  80 150   2.0314908e-1 -13.55%  13.25%
 14 1.45  2.5 150 250   5.9383442e-2 -14.29%  14.18%
 15 1.45  2.5 250 600   2.8430084e-3 -15.12%  15.23%

bin   Mtt       yt     d2sig/dMtt/dyt neg unc pos unc
---+---+----+----+----+--------------+-------+-------
  0 340  400    0 0.35   6.2446513e-1 -12.97%  13.62%
  1 340  400 0.35 0.85   5.5489399e-1 -12.83%  13.39%
  2 340  400 0.85 1.45   3.9236515e-1 -12.63%  13.03%
  3 340  400 1.45  2.5   1.3564553e-1 -12.35%  12.21%
  4 400  500    0 0.35   6.1964261e-1 -12.76%  12.49%
  5 400  500 0.35 0.85   5.3024048e-1 -12.68%  12.38%
  6 400  500 0.85 1.45   3.6675874e-1 -12.59%  12.17%
  7 400  500 1.45  2.5   1.2828909e-1 -12.88%  12.43%
  8 500  650    0 0.35   2.4181679e-1 -13.20%  12.47%
  9 500  650 0.35 0.85   2.0629427e-1 -13.13%  12.38%
 10 500  650 0.85 1.45   1.4964678e-1 -13.34%  12.71%
 11 500  650 1.45  2.5   5.9724051e-2 -14.15%  14.02%
 12 650 1500    0 0.35   1.7168492e-2 -13.92%  12.70%
 13 650 1500 0.35 0.85   1.5242689e-2 -13.65%  12.29%
 14 650 1500 0.85 1.45   1.3905909e-2 -14.63%  14.10%
 15 650 1500 1.45  2.5   7.2561156e-3 -16.21%  16.75%

bin   Mtt       ytt    d2sig/dMtt/dytt neg unc pos unc
---+---+----+----+----+---------------+-------+-------
  0 340  400    0 0.35    6.4147674e-1 -13.03%  13.69%
  1 340  400 0.35 0.75    5.7705702e-1 -12.86%  13.45%
  2 340  400 0.75 1.15    4.6053768e-1 -12.64%  13.11%
  3 340  400 1.15  2.5    1.7479035e-1 -12.38%  12.36%
  4 400  500    0 0.35    6.5848258e-1 -12.83%  12.61%
  5 400  500 0.35 0.75    5.8410141e-1 -12.72%  12.47%
  6 400  500 0.75 1.15    4.4935276e-1 -12.63%  12.33%
  7 400  500 1.15  2.5    1.4292539e-1 -12.64%  11.98%
  8 500  650    0 0.35    2.9490355e-1 -13.43%  12.95%
  9 500  650 0.35 0.75    2.5566721e-1 -13.33%  12.79%
 10 500  650 0.75 1.15    1.8443155e-1 -13.30%  12.68%
 11 500  650 1.15  2.5    4.5218962e-2 -13.54%  12.66%
 12 650 1500    0 0.35    2.9743081e-2 -14.54%  14.01%
 13 650 1500 0.35 0.75    2.4539452e-2 -14.59%  14.01%
 14 650 1500 0.75 1.15    1.5381707e-2 -14.69%  14.04%
 15 650 1500 1.15  2.5    2.3790855e-3 -15.04%  14.17%