Add TFR and SN mock generation to BORG scripts
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8 changed files with 1659 additions and 310 deletions
162
conf/borg_mock_ini.ini
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162
conf/borg_mock_ini.ini
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[system]
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console_output = borg_log
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VERBOSE_LEVEL = 2
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N0 = 64
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N1 = 64
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N2 = 64
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L0 = 500.0
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L1 = 500.0
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L2 = 500.0
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corner0 = -250.0
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corner1 = -250.0
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corner2 = -250.0
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NUM_MODES = 100
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test_mode = true
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seed_cpower = true
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[block_loop]
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hades_sampler_blocked = false
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bias_sampler_blocked= true
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nmean_sampler_blocked= true
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sigma8_sampler_blocked = true
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omega_m_sampler_blocked = true
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alpha_sampler_blocked = false
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sig_v_sampler_blocked = false
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bulk_flow_sampler_blocked = false
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ares_heat = 1.0
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[mcmc]
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number_to_generate = 4
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warmup_model = 200
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warmup_cosmo = 800
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random_ic = false
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init_random_scaling = 0.1
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bignum = 1e20
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[hades]
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algorithm = HMC
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max_epsilon = 0.01
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max_timesteps = 50
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mixing = 1
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[sampling]
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algorithm = slice
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epsilon = 0.005
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Nsteps = 20
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refresh = 0.1
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rng_seed = 1
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warmup_nsteps = 400
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warmup_target_acceptance_rate = 0.7
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[model]
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gravity = lpt
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forcesampling = 4
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supersampling = 2
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velocity = CICModel
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af = 1.0
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ai = 0.05
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nsteps = 20
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Rsmooth = 4.
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bias_epsilon = 1e-7
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interp_order = 1
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sig_v = 150.
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R_lim = 220
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Nint_points = 201
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Nsig = 10
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bulk_flow = [0.0, 0.0, 0.0]
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[prior]
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omega_m = [0.1, 0.8]
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sigma8 = [0.1, 1.5]
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alpha = [0.0, 10.0]
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sig_v = [50.0, 200.0]
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bulk_flow = [-200.0, 200.0]
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[cosmology]
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omega_r = 0
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fnl = 0
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omega_k = 0
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omega_m = 0.315
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omega_b = 0.049
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omega_q = 0.685
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h100 = 0.68
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sigma8 = 0.81
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n_s = 0.97
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w = -1
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wprime = 0
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beta = 1.5
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z0 = 0
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[run]
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run_type = mock
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NCAT = 0
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NSAMP = 4
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[mock]
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seed = 12345
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R_max = 100
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[python]
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likelihood_path = /home/bartlett/fsigma8/borg_velocity/borg_velocity/likelihood.py
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[sample_0]
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tracer_type = tfr
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Nt = 1247
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alpha = 1.4
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a_TFR = -23
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b_TFR = -8.2
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sigma_TFR = 0.3
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sigma_m = 0.042
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sigma_eta = 0.01
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hyper_eta_mu = 0.08
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hyper_eta_sigma = 0.13
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mthresh = 11.25
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frac_sig_rhMpc = 0.07
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[sample_1]
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tracer_type = tfr
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Nt = 2010
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alpha = 1.4
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a_TFR = -23
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b_TFR = -8.2
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sigma_TFR = 0.3
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sigma_m = 0.042
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sigma_eta = 0.01
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hyper_eta_mu = 0.08
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hyper_eta_sigma = 0.13
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mthresh = 11.25
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frac_sig_rhMpc = 0.07
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[sample_2]
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tracer_type = sn
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Nt = 125
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alpha = 1.4
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a_tripp = 0.140
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b_tripp = 2.78
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M_SN = -18.558
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sigma_SN = 0.082
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sigma_m = 0.04
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sigma_stretch = 0.17
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sigma_c = 0.04
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hyper_stretch_mu = -0.04
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hyper_stretch_sigma = 1.23
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hyper_c_mu = -0.02
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hyper_c_sigma = 0.08
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frac_sig_rhMpc = 0.07
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[sample_3]
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tracer_type = sn
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Nt = 55
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alpha = 1.4
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a_tripp = 0.140
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b_tripp = 2.78
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M_SN = -18.558
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sigma_SN = 0.082
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sigma_m = 0.04
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sigma_stretch = 0.17
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sigma_c = 0.04
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hyper_stretch_mu = -0.04
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hyper_stretch_sigma = 1.23
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hyper_c_mu = -0.02
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hyper_c_sigma = 0.08
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frac_sig_rhMpc = 0.07
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