INSTRUCTIONS FOR TUTORIAL 2
===========================

** Assuming you have followed the Pre-tutorial steps **

Requirements
------------

* Modules: NeutrinoBit
* Scanners: diver
* Backends: none

Model
-----

* Neutrinos.yaml (get from Tutorial resources)
  Parameters: dmNu21, dmNu3l, theta12, theta13, theta23, delta13
  Likelihoods:  theta12_NuFit_v3_2_lnL, theta23_NuFit_v3_2_lnL, theta13_NuFit_v3_2_lnL, deltaCP_NuFit_v3_2_lnL, md21_NuFit_v3_2_lnL, md3l_NuFit_v3_2_lnL

Running scan
------------

* Run scan with various MPI process for speed

    mpirun -np 4 ./gambit -f yaml_files/Neutrinos.yaml

  And just wait...

Check results
-------------

* Results are written in the "output" directory (e.g. runs/Neutrinos/samples)

    h5ls runs/Neutrinos/samples/Neutrinos.hdf5/Neutrinos

Plotting results
----------------

* To generate plots we use pippi
  Pippi file: Neutrinos.pip

    ./pippi/pippi Neutrinos.pip

* Best fit point is printed in the parse directory (e.g. runs/Neutrinos/parse)

    less runs/Neutrinos/parse/Neutrinos.best_all

* Plots are generated in the selected plots directory (e.g runs/Neutrinos/plots)

    okular runs/Neutrinos/plots/*