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Installation_guide_Likelihood_planck.txt
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Installation_guide_Likelihood_planck.txt
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Instalación de Likelihood de Planck para ATOCATL
Requires Pyfits that its fails to install automatically.
Requires intel module but not the intel compilers by default but intel/12.0.4
I installed using python/ananconda 2.7
I installed all the python requirements with condo commands
Download Pyfits from here:
Instalación de PyFits
(from http://vanderbiltastro.pbworks.com/w/page/38863154/Installing%20Python%20Modules%20%28PyFits%29)
1.-unpack the tarfile (tar -xvzf <archivename>)
2.-go to the created subfolder
3.-mostly optional: type "python setup.py build”
4.- install by one of these commands:
python setup.py install (requires root permission)
python setup.py install --home=<install-dir>
then add <install-dir>/lib/python to your PYTHONPATH
python setup.py install --prefix=<install-dir>
then add <install-dir>/lib/python2.7/site-packages to your PYTHONPATH
5.-Leave the installation folder, start the interpreter and try import <modulename> followed by dir(<modulename>) and/or help("<modulename>")
python2 waf configure --lapack_mkl=/export/opt/apps/compilers/intel/12.0/composerxe-2011.4.191/mkl/ --m64 —cfitsio_install
./waf install
montepython/MontePython.py run -p param_examples/base.param -o output/ -N5
/!\ Appending to an existing folder: using the log.param instead of
param_examples/base.param
Running Monte Python v2.2.2
/!\ Your code location in the log.param file is in contradiction with your
.conf file. I will use the one from log.param.
with CLASS v2.5.1
Testing likelihoods for:
-> fake_planck_bluebook
Initialised likelihood_mock_cmb with following options:
unlensed_clTTTEEE is False
Bmodes is False
delensing is False
LensingExtraction is False
neglect_TD is True
Creating output/2018-04-25_5__5.txt
Deduced starting covariance matrix:
['omega_b', 'omega_cdm', 'n_s', 'A_s', 'h', 'tau_reio']
[[2.56e-04 0.00e+00 0.00e+00 0.00e+00 0.00e+00 0.00e+00]
[0.00e+00 2.56e-06 0.00e+00 0.00e+00 0.00e+00 0.00e+00]
[0.00e+00 0.00e+00 1.60e-05 0.00e+00 0.00e+00 0.00e+00]
[0.00e+00 0.00e+00 0.00e+00 1.44e-03 0.00e+00 0.00e+00]
[0.00e+00 0.00e+00 0.00e+00 0.00e+00 4.22e-05 0.00e+00]
[0.00e+00 0.00e+00 0.00e+00 0.00e+00 0.00e+00 1.94e-05]]
# -LogLkl 1e+02omega_b omega_cdm n_s 1e+09A_s h tau_reio z_reio Omega_Lambda
1 9997.44 2.259803e+00 1.119801e-01 9.632183e-01 2.460415e+00 6.931952e-01 7.730484e-02 9.649429e+00 7.198449e-01
1 5939.85 2.267569e+00 1.132463e-01 9.589881e-01 2.422457e+00 6.977620e-01 8.239837e-02 1.010812e+01 7.207399e-01
2 4410.4 2.257515e+00 1.162843e-01 9.608155e-01 2.399817e+00 6.970618e-01 8.127618e-02 1.011374e+01 7.141332e-01
1 3920.94 2.265066e+00 1.156828e-01 9.703588e-01 2.383772e+00 6.926017e-01 8.535529e-02 1.043100e+01 7.115361e-01
# 5 steps done, acceptance rate: 0.8
/!\ The acceptance rate is above 0.6, which means you might have difficulties
exploring the entire parameter space. Try analysing these chains, and use
the output covariance matrix to decrease the acceptance rate to a value
between 0.2 and 0.4 (roughly).