Generate mock data from borg, create MB data and prepare likelihood

conf/basic_ini.ini

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+[system]
+VERBOSE_LEVEL = 2
+N0 = 32
+N1 = 32
+N2 = 32
+L0 = 500.0
+L1 = 500.0
+L2 = 500.0
+corner0 = -250.0
+corner1 = -250.0
+corner2 = -250.0
+NUM_MODES = 100
+test_mode = true
+seed_cpower = true
+
+[block_loop]
+hades_sampler_blocked = false
+bias_sampler_blocked= true
+nmean_sampler_blocked= true
+sigma8_sampler_blocked = true
+muA_sampler_blocked = true
+omega_m_sampler_blocked = true
+alpha_sampler_blocked = true
+sig_v_sampler_blocked = true
+bulk_flow_sampler_blocked = true
+ares_heat = 1.0
+
+[mcmc]
+number_to_generate = 10
+random_ic = false
+init_random_scaling = 0.1
+
+[model]
+gravity = lpt
+af = 1.0
+ai = 0.05
+nsteps = 20
+smooth_R = 4
+bias_epsilon = 1e-7
+interp_order = 1
+sig_v = 150.
+R_lim = none
+Nint_points = 201 
+Nsig = 10
+
+[prior]
+omega_m = [0.1, 0.8]
+sigma8 = [0.1, 1.5]
+muA = [0.5, 1.5]
+alpha = [0.0, 10.0]
+sig_v = [50.0, 200.0]
+bulk_flow = [-200.0, 200.0]
+
+[cosmology]
+omega_r = 0
+fnl = 0
+omega_k = 0
+omega_m = 0.315
+omega_b = 0.049
+omega_q = 0.685
+h100 = 0.68
+sigma8 = 0.81
+n_s = 0.97
+w = -1
+wprime = 0
+beta = 1.5
+z0 = 0
+
+[run]
+run_type = mock
+NCAT = 0
+NSAMP = 2
+
+[mock]
+R_max = 100
+bulk_flow = [0.0, 0.0, 0.0]
+
+[python]
+likelihood_path = /home/bartlett/fsigma8/borg_velocity/borg_velocity/likelihood.py
+
+[sample_0]
+Nt = 345
+muA = 1.0
+alpha = 1.4
+frac_sig_rhMpc = 0.07
+
+[sample_1]
+Nt = 1682
+muA = 1.0
+alpha = 1.4
+frac_sig_rhMpc = 0.07