File: Output.stdout.np32

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mpgrafic 0.3.18-1
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 Will generate initial conditions on grid of size           32          32          32

 Select type of initial power spectrum (matter transfer function):
     1 for T(k) from linger.dat
     2 for T(k) from approx. analytical fit (BBKS)
     3 for T(k)=1 (scale-free)
     4 for T(k) from approx. analytical fit (E&Hu)
 Enter case (1,2,3 or 4) now:
           4
 Enter Omega_m, Omega_v, H0 (km/s/Mpc, set H0=1 for scale-free case)
        0.30000        0.70000       70.00000
 Enter Omega_b
        0.05000
 Initializing power spectrum for Omega_m, Omega_v, H0=        0.30000        0.70000       70.00000
 Enter long-wave spectral index n (scale-invariant is n=1)
        1.00000
 Enter desired normalization at a=1:
   Qrms-ps/micro-K (if > 0) or -sigma_8 (if < 0) = ?
 Computing Delta_2(k) using Sachs-Wolfe approxmation
 This may take several minutes.
Qrms-ps/micro-K=        20.5477

 I can write the power spectrum of delta_rho/rho to disk (power.dat).
 If you would like this, please enter kmin and kmax (1/Mpc)
 Enter 0,0 if you don't want the power spectrum written to a file
    1.00000E-02    1.00000E+02
 Enter dx (initial particle spacing in Mpc, not Mpc/h)
    or enter -boxlength in Mpc/h
    i.e. dx in Mpc if > 0, or -boxlength in Mpc/h if < 0
      -50.00000
  dx=        2.23214 Mpc
 Enter 1 if these initial conditions will not be refined, otherwise
   enter the ultimate refinement factor for the smallest grid spacing
   (This is used only to set astart.)
           1
Scaling initial conditions to starting a=    6.50320E-02
  when sigma(delta) at ultimate refinement scale=    2.00000E-01
vfact=    1.50343E+02
 Enter 0 for final output or 1 for further refinement
           0
 Setting output grid to           32          32          32
 Enter <RETURN> to skip output grid size
 Enter <RETURN> to skip output grid offset
 Enter <RETURN> to skip final grid size
 Enter <RETURN> to skip final grid offset
 Will produce output files ic_deltab, ic_velb[xyz], ic_velc[xyz]

 Subgrid white noise:
   Choose irand (1 or 2) from the following list:
     irand=1 to generate new noise and save to file
     irand=2 to read noise from existing file
 Enter irand
           1
   Enter random number seed (9-digit integer, ignored if irand=2)
        1234
   Enter filename of white noise file (or <RETURN> if irand=0)
 white-outfile.dat                                                                                                               
  Enter 1 if padding of large scales is required, 0 otherwise
           0
  Enter padding file name (white noise format, ignored if ipad=0)
 noisefile_dummy.dat                                                                                                             
 Warning: Generating new random numbers in mpic4!
 myid,seeds:            0   822569775
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           0           0
   Mean sigma, sampled sigma, maximum=        0.26532        0.26629        1.06960
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           1           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.39021        1.45201
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           2           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.47917        1.99431
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           3           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.54009        2.22725
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           1           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.39014        1.45445
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           2           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.47911        1.94102
 Reading random numbers used in ic4 from white-outfile.dat
   Random numbers generated with iseed=        1234
 Normalizing rms, subtracting average
Mean value of the white noise box =    -2.25014E-03
 Will be removed
Standard deviation of the white noise box =         1.00099
 Will be factored out so that input stdev=1
ic4 white noise: chisq, dof, nu=    32768.00000          32767    5.52436E-03
 Statistics of ic4 for idim, itide=           3           0
   Mean sigma, sampled sigma, maximum=        0.47112        0.54004        2.20535