adding SO likelihoods

montepython/likelihoods/SO_LAT_baseline/SO_LAT_baseline.data

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+# SO LAT baseline mock likelihood, inheriting the Likelihood_mock_cmb class. 
+# the noise file is taken from https://github.com/simonsobs/so_noise_models/tree/master/LAT_comp_sep_noise/v3.1.0, choosing the "baseline" configuration and standard ILC noise
+# only primary CMB, TTTEEE
+
+# Where to read/write fiducial model
+SO_LAT_baseline.data_directory     = data.path['data']
+SO_LAT_baseline.fiducial_file      = 'SO_LAT_baseline_fiducial.dat'
+
+# Experimental sensitivity
+SO_LAT_baseline.l_min              = 30
+SO_LAT_baseline.l_max              = 5000
+SO_LAT_baseline.f_sky              = 0.40
+
+# Do you want to include Bmodes (Gaussian approximation)?
+SO_LAT_baseline.Bmodes = False
+SO_LAT_baseline.delensing = False
+
+# Do you want to use noise from file?
+SO_LAT_baseline.noise_from_file = True
+
+SO_LAT_baseline.noise_file = 'SO_LAT_Nell_T_E_baseline_fsky0p4_standard_ILC.txt'
+
+# Do you want to include lensing extraction?
+SO_LAT_baseline.LensingExtraction = False
+SO_LAT_baseline.neglect_TD = True
+SO_LAT_baseline.unlensed_clTTTEEE = False
+SO_LAT_baseline.ExcludeTTTEEE = False

montepython/likelihoods/SO_LAT_baseline/__init__.py

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+# there is no specific likelihood code for this experiment, because it
+# falls in the category of CMB experiments described in the "mock CMB"
+# format. The class below inherits the properties of a general class
+# "Likelihood_mock_cmb", which knows how to deal with all experiments in
+# "mock CMB" format.
+
+from montepython.likelihood_class import Likelihood_mock_cmb
+
+
+class SO_LAT_baseline(Likelihood_mock_cmb):
+    pass

montepython/likelihoods/SO_LAT_goal/SO_LAT_goal.data

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+# SO LAT goal mock likelihood, inheriting the Likelihood_mock_cmb class. 
+# the noise file is taken from https://github.com/simonsobs/so_noise_models/tree/master/LAT_comp_sep_noise/v3.1.0, choosing the "goal" configuration and standard ILC noise
+# only primary CMB, TTTEEE
+
+# Where to read/write fiducial model
+SO_LAT_goal.data_directory     = data.path['data']
+SO_LAT_goal.fiducial_file      = 'SO_LAT_goal_fiducial.dat'
+
+# Experimental sensitivity
+SO_LAT_goal.l_min              = 30
+SO_LAT_goal.l_max              = 5000
+SO_LAT_goal.f_sky              = 0.40
+
+# Do you want to include Bmodes (Gaussian approximation)?
+SO_LAT_goal.Bmodes = False
+SO_LAT_goal.delensing = False
+
+# Do you want to use noise from file?
+SO_LAT_goal.noise_from_file = True
+
+SO_LAT_goal.noise_file = 'SO_LAT_Nell_T_E_goal_fsky0p4_standard_ILC.txt'
+
+# Do you want to include lensing extraction?
+SO_LAT_goal.LensingExtraction = False
+SO_LAT_goal.neglect_TD = True
+SO_LAT_goal.unlensed_clTTTEEE = False
+SO_LAT_goal.ExcludeTTTEEE = False

montepython/likelihoods/SO_LAT_goal/__init__.py

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+# there is no specific likelihood code for this experiment, because it
+# falls in the category of CMB experiments described in the "mock CMB"
+# format. The class below inherits the properties of a general class
+# "Likelihood_mock_cmb", which knows how to deal with all experiments in
+# "mock CMB" format.
+
+from montepython.likelihood_class import Likelihood_mock_cmb
+
+
+class SO_LAT_goal(Likelihood_mock_cmb):
+    pass

montepython/likelihoods/SO_LAT_lensing_baseline/SO_LAT_lensing_baseline.data

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+# SO LAT lensing goal mock likelihood, inheriting the Likelihood_mock_cmb class. 
+# the noise file is taken from https://github.com/simonsobs/so_noise_models/tree/master/LAT_lensing_noise/lensing_v3_1_1, choosing the "baseline" configuration
+# only CMB lensing, since the ell range of the lensing noise curves is different from the range of the primary CMB noise
+
+# Where to read/write fiducial model
+SO_LAT_lensing_baseline.data_directory     = data.path['data']
+SO_LAT_lensing_baseline.fiducial_file      = 'SO_LAT_lensing_baseline_fiducial.dat'
+
+# Experimental sensitivity
+SO_LAT_lensing_baseline.l_min              = 30
+SO_LAT_lensing_baseline.l_max              = 3000
+SO_LAT_lensing_baseline.f_sky              = 0.4
+
+# Do you want to include Bmodes (Gaussian approximation)?
+SO_LAT_lensing_baseline.Bmodes = False
+SO_LAT_lensing_baseline.delensing = False
+
+# Do you want to use noise from file?
+SO_LAT_lensing_baseline.noise_from_file = True
+
+SO_LAT_lensing_baseline.noise_file = 'SO_LAT_lensing_baseline.txt'
+
+# Do you want to include lensing extraction?
+SO_LAT_lensing_baseline.LensingExtraction = True
+SO_LAT_lensing_baseline.neglect_TD = True
+SO_LAT_lensing_baseline.unlensed_clTTTEEE = False
+SO_LAT_lensing_baseline.ExcludeTTTEEE = True

montepython/likelihoods/SO_LAT_lensing_baseline/__init__.py

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+# there is no specific likelihood code for this experiment, because it
+# falls in the category of CMB experiments described in the "mock CMB"
+# format. The class below inherits the properties of a general class
+# "Likelihood_mock_cmb", which knows how to deal with all experiments in
+# "mock CMB" format.
+
+from montepython.likelihood_class import Likelihood_mock_cmb
+
+
+class SO_LAT_lensing_baseline(Likelihood_mock_cmb):
+    pass

montepython/likelihoods/SO_LAT_lensing_goal/SO_LAT_lensing_goal.data

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+# SO LAT lensing goal mock likelihood, inheriting the Likelihood_mock_cmb class. 
+# the noise file is taken from https://github.com/simonsobs/so_noise_models/tree/master/LAT_lensing_noise/lensing_v3_1_1, choosing the "baseline" configuration
+# only CMB lensing, since the ell range of the lensing noise curves is different from the range of the primary CMB noise
+
+# Where to read/write fiducial model
+SO_LAT_lensing_goal.data_directory     = data.path['data']
+SO_LAT_lensing_goal.fiducial_file      = 'SO_LAT_lensing_goal_fiducial.dat'
+
+# Experimental sensitivity
+SO_LAT_lensing_goal.l_min              = 30
+SO_LAT_lensing_goal.l_max              = 3000
+SO_LAT_lensing_goal.f_sky              = 0.4
+
+# Do you want to include Bmodes (Gaussian approximation)?
+SO_LAT_lensing_goal.Bmodes = False
+SO_LAT_lensing_goal.delensing = False
+
+# Do you want to use noise from file?
+SO_LAT_lensing_goal.noise_from_file = True
+
+SO_LAT_lensing_goal.noise_file = 'SO_LAT_lensing_goal.txt'
+
+# Do you want to include lensing extraction?
+SO_LAT_lensing_goal.LensingExtraction = True
+SO_LAT_lensing_goal.neglect_TD = True
+SO_LAT_lensing_goal.unlensed_clTTTEEE = False
+SO_LAT_lensing_goal.ExcludeTTTEEE = True

montepython/likelihoods/SO_LAT_lensing_goal/__init__.py

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+# there is no specific likelihood code for this experiment, because it
+# falls in the category of CMB experiments described in the "mock CMB"
+# format. The class below inherits the properties of a general class
+# "Likelihood_mock_cmb", which knows how to deal with all experiments in
+# "mock CMB" format.
+
+from montepython.likelihood_class import Likelihood_mock_cmb
+
+
+class SO_LAT_lensing_goal(Likelihood_mock_cmb):
+    pass