From 450772f72f914e9c5b49c2ef9e66d6b56e0b3a62 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Sat, 17 Aug 2024 01:36:45 -0700 Subject: [PATCH 01/12] Added code to create and reverse transforms for more flexibility --- src/jimgw/single_event/transforms.py | 202 ++++++++--------------- src/jimgw/transforms.py | 51 ++++++ test/integration/.gitignore | 2 + test/integration/test_GW150914_D.py | 37 +++-- test/integration/test_mass_transforms.py | 127 ++++++++++++++ 5 files changed, 271 insertions(+), 148 deletions(-) create mode 100644 test/integration/.gitignore create mode 100644 test/integration/test_mass_transforms.py diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index c3e77846..49f01457 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -4,7 +4,12 @@ from astropy.time import Time from jimgw.single_event.detector import GroundBased2G -from jimgw.transforms import BijectiveTransform, NtoNTransform +from jimgw.transforms import ( + BijectiveTransform, + NtoNTransform, + reverse_bijective_transform, + create_bijective_transform, +) from jimgw.single_event.utils import ( m1_m2_to_Mc_q, Mc_q_to_m1_m2, @@ -20,100 +25,65 @@ @jaxtyped(typechecker=typechecker) -class ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): +class SpinToCartesianSpinTransform(NtoNTransform): """ - Transform chirp mass and mass ratio to component masses - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. + Spin to Cartesian spin transformation """ + freq_ref: Float + def __init__( self, name_mapping: tuple[list[str], list[str]], + freq_ref: Float, ): super().__init__(name_mapping) - assert ( - "m_1" in name_mapping[0] - and "m_2" in name_mapping[0] - and "M_c" in name_mapping[1] - and "q" in name_mapping[1] - ) - - def named_transform(x): - Mc, q = m1_m2_to_Mc_q(x["m_1"], x["m_2"]) - return {"M_c": Mc, "q": q} - - self.transform_func = named_transform - - def named_inverse_transform(x): - m1, m2 = Mc_q_to_m1_m2(x["M_c"], x["q"]) - return {"m_1": m1, "m_2": m2} - - self.inverse_transform_func = named_inverse_transform - - -@jaxtyped(typechecker=typechecker) -class ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): - """ - Transform mass ratio to symmetric mass ratio - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. - """ + self.freq_ref = freq_ref - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - ): - super().__init__(name_mapping) assert ( - "m_1" in name_mapping[0] - and "m_2" in name_mapping[0] - and "M_c" in name_mapping[1] - and "eta" in name_mapping[1] + "theta_jn" in name_mapping[0] + and "phi_jl" in name_mapping[0] + and "theta_1" in name_mapping[0] + and "theta_2" in name_mapping[0] + and "phi_12" in name_mapping[0] + and "a_1" in name_mapping[0] + and "a_2" in name_mapping[0] + and "iota" in name_mapping[1] + and "s1_x" in name_mapping[1] + and "s1_y" in name_mapping[1] + and "s1_z" in name_mapping[1] + and "s2_x" in name_mapping[1] + and "s2_y" in name_mapping[1] + and "s2_z" in name_mapping[1] ) def named_transform(x): - Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) - return {"M_c": Mc, "eta": eta} + iota, s1x, s1y, s1z, s2x, s2y, s2z = spin_to_cartesian_spin( + x["theta_jn"], + x["phi_jl"], + x["theta_1"], + x["theta_2"], + x["phi_12"], + x["a_1"], + x["a_2"], + x["M_c"], + x["q"], + self.freq_ref, + x["phase_c"], + ) + return { + "iota": iota, + "s1_x": s1x, + "s1_y": s1y, + "s1_z": s1z, + "s2_x": s2x, + "s2_y": s2y, + "s2_z": s2z, + } self.transform_func = named_transform - def named_inverse_transform(x): - m1, m2 = Mc_eta_to_m1_m2(x["M_c"], x["q"]) - return {"m_1": m1, "m_2": m2} - - self.inverse_transform_func = named_inverse_transform - - -@jaxtyped(typechecker=typechecker) -class MassRatioToSymmetricMassRatioTransform(BijectiveTransform): - """ - Transform mass ratio to symmetric mass ratio - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. - - """ - - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - ): - super().__init__(name_mapping) - assert "q" == name_mapping[0][0] and "eta" == name_mapping[1][0] - - self.transform_func = lambda x: {"eta": q_to_eta(x["q"])} - self.inverse_transform_func = lambda x: {"q": eta_to_q(x["eta"])} - @jaxtyped(typechecker=typechecker) class SkyFrameToDetectorFrameSkyPositionTransform(BijectiveTransform): @@ -170,62 +140,24 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform -@jaxtyped(typechecker=typechecker) -class SpinToCartesianSpinTransform(NtoNTransform): - """ - Spin to Cartesian spin transformation - """ - - freq_ref: Float - - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - freq_ref: Float, - ): - super().__init__(name_mapping) - - self.freq_ref = freq_ref - - assert ( - "theta_jn" in name_mapping[0] - and "phi_jl" in name_mapping[0] - and "theta_1" in name_mapping[0] - and "theta_2" in name_mapping[0] - and "phi_12" in name_mapping[0] - and "a_1" in name_mapping[0] - and "a_2" in name_mapping[0] - and "iota" in name_mapping[1] - and "s1_x" in name_mapping[1] - and "s1_y" in name_mapping[1] - and "s1_z" in name_mapping[1] - and "s2_x" in name_mapping[1] - and "s2_y" in name_mapping[1] - and "s2_z" in name_mapping[1] - ) +# Pre-made bijective transforms: +ComponentMassesToChirpMassMassRatioTransform = create_bijective_transform( + (["m_1", "m_2"], ["M_c", "q"]), m1_m2_to_Mc_q, Mc_q_to_m1_m2 +) +ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( + ComponentMassesToChirpMassMassRatioTransform +) - def named_transform(x): - iota, s1x, s1y, s1z, s2x, s2y, s2z = spin_to_cartesian_spin( - x["theta_jn"], - x["phi_jl"], - x["theta_1"], - x["theta_2"], - x["phi_12"], - x["a_1"], - x["a_2"], - x["M_c"], - x["q"], - self.freq_ref, - x["phase_c"], - ) - return { - "iota": iota, - "s1_x": s1x, - "s1_y": s1y, - "s1_z": s1z, - "s2_x": s2x, - "s2_y": s2y, - "s2_z": s2z, - } +ComponentMassesToChirpMassSymmetricMassRatioTransform = create_bijective_transform( + (["m_1", "m_2"], ["M_c", "eta"]), m1_m2_to_Mc_eta, Mc_eta_to_m1_m2 +) +ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform( + ComponentMassesToChirpMassSymmetricMassRatioTransform +) - self.transform_func = named_transform +MassRatioToSymmetricMassRatioTransform = create_bijective_transform( + (["q"], ["eta"]), q_to_eta, eta_to_q +) +SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform( + MassRatioToSymmetricMassRatioTransform +) diff --git a/src/jimgw/transforms.py b/src/jimgw/transforms.py index 715d49de..44f2837c 100644 --- a/src/jimgw/transforms.py +++ b/src/jimgw/transforms.py @@ -445,3 +445,54 @@ def __init__( ) for i in range(len(name_mapping[1])) } + + +def create_bijective_transform( + name_mapping: tuple[list[str], list[str]], + transform_func_array: Callable[[Float], Float], + inverse_transform_func_array: Callable[[Float], Float], +) -> BijectiveTransform: + """ + Utility function to create a BijectiveTransform object given a name_mapping and the forward and backward transform functions which take arrays as input, e.g. coming from the utils module. + + Args: + name_mapping (tuple[list[str], list[str]]): The name_mapping to be used in the named transforms. + transform_func_array (Callable[[Float], Float]): The forward function method taking an array as input. + inverse_transform_func_array (Callable[[Float], Float]): The inverse function method taking an array as input. + + Returns: + BijectiveTransform: The BijectiveTransform object. + """ + + def named_transform_func(x_named: dict[str, Float]) -> dict[str, Float]: + x_array = jnp.array([x_named[key] for key in name_mapping[0]]) + y_array = transform_func_array(*x_array) + y_named = dict(zip(name_mapping[1], y_array)) + return y_named + + def named_inverse_transform_func(y_named: dict[str, Float]) -> dict[str, Float]: + y_array = jnp.array([y_named[key] for key in name_mapping[1]]) + x_array = inverse_transform_func_array(*y_array) + x_named = dict(zip(name_mapping[0], x_array)) + return x_named + + new_transform = BijectiveTransform(name_mapping) + new_transform.transform_func = named_transform_func + new_transform.inverse_transform_func = named_inverse_transform_func + + return new_transform + + +def reverse_bijective_transform( + original_transform: BijectiveTransform, +) -> BijectiveTransform: + + reversed_name_mapping = ( + original_transform.name_mapping[1], + original_transform.name_mapping[0], + ) + reversed_transform = BijectiveTransform(name_mapping=reversed_name_mapping) + reversed_transform.transform_func = original_transform.inverse_transform_func + reversed_transform.inverse_transform_func = original_transform.transform_func + + return reversed_transform diff --git a/test/integration/.gitignore b/test/integration/.gitignore new file mode 100644 index 00000000..a7f7ef0e --- /dev/null +++ b/test/integration/.gitignore @@ -0,0 +1,2 @@ +outdir/ +figures/ diff --git a/test/integration/test_GW150914_D.py b/test/integration/test_GW150914_D.py index e1eee9ac..d3c5c0e8 100644 --- a/test/integration/test_GW150914_D.py +++ b/test/integration/test_GW150914_D.py @@ -1,3 +1,7 @@ +import os +os.environ["CUDA_VISIBLE_DEVICES"] = "0" +os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10" + import jax import jax.numpy as jnp @@ -10,6 +14,8 @@ from jimgw.single_event.transforms import ComponentMassesToChirpMassSymmetricMassRatioTransform, SkyFrameToDetectorFrameSkyPositionTransform, ComponentMassesToChirpMassMassRatioTransform from jimgw.single_event.utils import Mc_q_to_m1_m2 from flowMC.strategy.optimization import optimization_Adam +from flowMC.utils.postprocessing import plot_summary +import optax jax.config.update("jax_enable_x64", True) @@ -62,7 +68,7 @@ ) sample_transforms = [ - ComponentMassesToChirpMassMassRatioTransform(name_mapping=[["m_1", "m_2"], ["M_c", "q"]]), + ComponentMassesToChirpMassMassRatioTransform, BoundToUnbound(name_mapping = [["M_c"], ["M_c_unbounded"]], original_lower_bound=M_c_min, original_upper_bound=M_c_max), BoundToUnbound(name_mapping = [["q"], ["q_unbounded"]], original_lower_bound=q_min, original_upper_bound=q_max), BoundToUnbound(name_mapping = [["s1_z"], ["s1_z_unbounded"]] , original_lower_bound=-1.0, original_upper_bound=1.0), @@ -78,7 +84,7 @@ ] likelihood_transforms = [ - ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=[["m_1", "m_2"], ["M_c", "eta"]]), + ComponentMassesToChirpMassSymmetricMassRatioTransform, ] likelihood = TransientLikelihoodFD( @@ -97,10 +103,14 @@ Adam_optimizer = optimization_Adam(n_steps=5, learning_rate=0.01, noise_level=1) -n_epochs = 2 -n_loop_training = 1 -learning_rate = 1e-4 +n_epochs = 20 +n_loop_training = 10 +total_epochs = n_epochs * n_loop_training +start = total_epochs//10 +learning_rate = optax.polynomial_schedule( + 1e-3, 5e-4, 4.0, total_epochs - start, transition_begin=start +) jim = Jim( likelihood, @@ -108,19 +118,19 @@ sample_transforms=sample_transforms, likelihood_transforms=likelihood_transforms, n_loop_training=n_loop_training, - n_loop_production=1, - n_local_steps=5, - n_global_steps=5, - n_chains=4, + n_loop_production=4, + n_local_steps=10, + n_global_steps=1000, + n_chains=500, n_epochs=n_epochs, learning_rate=learning_rate, - n_max_examples=30, - n_flow_samples=100, + n_max_examples=30000, + n_flow_samples=100000, momentum=0.9, - batch_size=100, + batch_size=30000, use_global=True, train_thinning=1, - output_thinning=1, + output_thinning=10, local_sampler_arg=local_sampler_arg, strategies=[Adam_optimizer, "default"], ) @@ -128,3 +138,4 @@ jim.sample(jax.random.PRNGKey(42)) jim.get_samples() jim.print_summary() +plot_summary(jim.sampler) \ No newline at end of file diff --git a/test/integration/test_mass_transforms.py b/test/integration/test_mass_transforms.py new file mode 100644 index 00000000..ec7631cb --- /dev/null +++ b/test/integration/test_mass_transforms.py @@ -0,0 +1,127 @@ +import os +os.environ["CUDA_VISIBLE_DEVICES"] = "2" +os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10" + +import numpy as np +import matplotlib.pyplot as plt +import corner +import jax +import jax.numpy as jnp +from jaxtyping import Float + +from jimgw.prior import UniformPrior, CombinePrior +from jimgw.single_event.transforms import ChirpMassMassRatioToComponentMassesTransform +from jimgw.base import LikelihoodBase +from jimgw.jim import Jim + +params = {"axes.grid": True, + "text.usetex" : True, + "font.family" : "serif", + "ytick.color" : "black", + "xtick.color" : "black", + "axes.labelcolor" : "black", + "axes.edgecolor" : "black", + "font.serif" : ["Computer Modern Serif"], + "xtick.labelsize": 16, + "ytick.labelsize": 16, + "axes.labelsize": 16, + "legend.fontsize": 16, + "legend.title_fontsize": 16, + "figure.titlesize": 16} + +plt.rcParams.update(params) + +# Improved corner kwargs +default_corner_kwargs = dict(bins=40, + smooth=1., + show_titles=False, + label_kwargs=dict(fontsize=16), + title_kwargs=dict(fontsize=16), + color="blue", + # quantiles=[], + # levels=[0.9], + plot_density=True, + plot_datapoints=False, + fill_contours=True, + max_n_ticks=4, + min_n_ticks=3, + truth_color = "red", + save=False) + +# Likelihood for this test: + +class MyLikelihood(LikelihoodBase): + """Simple toy likelihood: Gaussian centered on the true component masses""" + + true_m1: Float + true_m2: Float + + def __init__(self, + true_m1: Float, + true_m2: Float): + + self.true_m1 = true_m1 + self.true_m2 = true_m2 + + def evaluate(self, params: dict[str, Float], data: dict) -> Float: + m1, m2 = params['m_1'], params['m_2'] + m1_std = 0.1 + m2_std = 0.1 + return -0.5 * (((m1 - self.true_m1) / m1_std)**2 + ((m2 - self.true_m2) / m2_std)**2) + +# Setup +true_m1 = 1.6 +true_m2 = 1.4 +true_mc = (true_m1 * true_m2)**(3/5) / (true_m1 + true_m2)**(1/5) +true_q = true_m2 / true_m1 + +# Priors +eps = 0.5 # half of width of the chirp mass prior +mc_prior = UniformPrior(true_mc - eps, true_mc + eps, parameter_names=['M_c']) +q_prior = UniformPrior(0.125, 1.0, parameter_names=['q']) +combine_prior = CombinePrior([mc_prior, q_prior]) + +# Likelihood and transform +likelihood = MyLikelihood(true_m1, true_m2) +mass_transform = ChirpMassMassRatioToComponentMassesTransform + +print(mass_transform.name_mapping) + +# Other stuff we have to give to Jim to make it work +step = 5e-3 +local_sampler_arg = {"step_size": step * jnp.eye(2)} + +# Jim: +jim = Jim(likelihood, + combine_prior, + likelihood_transforms=[mass_transform], + n_chains = 200, + parameter_names=['M_c', 'q'], + n_loop_training=20, + n_loop_production=5, + local_sampler_arg=local_sampler_arg) + +jim.sample(jax.random.PRNGKey(0)) +jim.print_summary() + +# Go from Mc, q samples to m1, m2 samples +chains_named = jim.get_samples() +m1m2_named = mass_transform.forward(chains_named) +m1, m2 = m1m2_named['m_1'], m1m2_named['m_2'] + +### Prior space: +chains = np.array([chains_named['M_c'], chains_named['q']]).T +chains = np.reshape(chains, (-1, 2)) +corner.corner(chains, truths = np.array([true_mc, true_q]), **default_corner_kwargs) + +plt.savefig("./figures/test_mass_transform_before.png", bbox_inches = 'tight') +plt.close() + +### Transformed space: +chains = np.array([m1, m2]).T +chains = np.reshape(chains, (-1, 2)) + +corner.corner(chains, truths = np.array([true_m1, true_m2]), **default_corner_kwargs) + +plt.savefig("./figures/test_mass_transform_after.png", bbox_inches = 'tight') +plt.close() \ No newline at end of file From 83b0d14246ed9a71b1900920123813763bca8e8e Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Sun, 18 Aug 2024 00:38:56 -0700 Subject: [PATCH 02/12] Make sure 1d transforms are created correctly --- src/jimgw/transforms.py | 4 ++-- test/integration/test_GW150914_Pv2.py | 10 +++++++++- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/src/jimgw/transforms.py b/src/jimgw/transforms.py index 44f2837c..268bfd5c 100644 --- a/src/jimgw/transforms.py +++ b/src/jimgw/transforms.py @@ -467,13 +467,13 @@ def create_bijective_transform( def named_transform_func(x_named: dict[str, Float]) -> dict[str, Float]: x_array = jnp.array([x_named[key] for key in name_mapping[0]]) y_array = transform_func_array(*x_array) - y_named = dict(zip(name_mapping[1], y_array)) + y_named = dict(zip(name_mapping[1], jnp.atleast_1d(y_array))) return y_named def named_inverse_transform_func(y_named: dict[str, Float]) -> dict[str, Float]: y_array = jnp.array([y_named[key] for key in name_mapping[1]]) x_array = inverse_transform_func_array(*y_array) - x_named = dict(zip(name_mapping[0], x_array)) + x_named = dict(zip(name_mapping[0], jnp.atleast_1d(x_array))) return x_named new_transform = BijectiveTransform(name_mapping) diff --git a/test/integration/test_GW150914_Pv2.py b/test/integration/test_GW150914_Pv2.py index c9d83a5e..e155237d 100644 --- a/test/integration/test_GW150914_Pv2.py +++ b/test/integration/test_GW150914_Pv2.py @@ -1,3 +1,7 @@ +import os +os.environ["CUDA_VISIBLE_DEVICES"] = "0" +os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10" + import time import jax @@ -12,6 +16,8 @@ from jimgw.single_event.transforms import MassRatioToSymmetricMassRatioTransform, SpinToCartesianSpinTransform from flowMC.strategy.optimization import optimization_Adam +from flowMC.utils.postprocessing import plot_summary + jax.config.update("jax_enable_x64", True) ########################################### @@ -90,7 +96,7 @@ likelihood_transforms = [ SpinToCartesianSpinTransform(name_mapping=[["theta_jn", "phi_jl", "theta_1", "theta_2", "phi_12", "a_1", "a_2"], ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"]], freq_ref=20.0), - MassRatioToSymmetricMassRatioTransform(name_mapping=[["q"], ["eta"]]), + MassRatioToSymmetricMassRatioTransform, ] likelihood = TransientLikelihoodFD( @@ -140,3 +146,5 @@ jim.sample(jax.random.PRNGKey(42)) jim.get_samples() jim.print_summary() + +plot_summary(jim.sampler) \ No newline at end of file From b621dc907eb661a1d1993f39fecac8c8b6d56bc5 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Wed, 21 Aug 2024 23:24:25 -0700 Subject: [PATCH 03/12] Making the tests lightweight again --- test/integration/test_GW150914_D.py | 31 +++++++------------ .../integration/test_GW150914_D_heterodyne.py | 2 +- test/integration/test_GW150914_Pv2.py | 12 ++----- test/integration/test_mass_transforms.py | 30 +++--------------- 4 files changed, 19 insertions(+), 56 deletions(-) diff --git a/test/integration/test_GW150914_D.py b/test/integration/test_GW150914_D.py index d3c5c0e8..2bb536a2 100644 --- a/test/integration/test_GW150914_D.py +++ b/test/integration/test_GW150914_D.py @@ -95,7 +95,6 @@ post_trigger_duration=2, ) - mass_matrix = jnp.eye(11) mass_matrix = mass_matrix.at[1, 1].set(1e-3) mass_matrix = mass_matrix.at[5, 5].set(1e-3) @@ -103,14 +102,9 @@ Adam_optimizer = optimization_Adam(n_steps=5, learning_rate=0.01, noise_level=1) - -n_epochs = 20 -n_loop_training = 10 -total_epochs = n_epochs * n_loop_training -start = total_epochs//10 -learning_rate = optax.polynomial_schedule( - 1e-3, 5e-4, 4.0, total_epochs - start, transition_begin=start -) +n_epochs = 2 +n_loop_training = 1 +learning_rate = 1e-4 jim = Jim( likelihood, @@ -118,24 +112,23 @@ sample_transforms=sample_transforms, likelihood_transforms=likelihood_transforms, n_loop_training=n_loop_training, - n_loop_production=4, - n_local_steps=10, - n_global_steps=1000, - n_chains=500, + n_loop_production=1, + n_local_steps=5, + n_global_steps=5, + n_chains=4, n_epochs=n_epochs, learning_rate=learning_rate, - n_max_examples=30000, - n_flow_samples=100000, + n_max_examples=30, + n_flow_samples=100, momentum=0.9, - batch_size=30000, + batch_size=100, use_global=True, train_thinning=1, - output_thinning=10, + output_thinning=1, local_sampler_arg=local_sampler_arg, strategies=[Adam_optimizer, "default"], ) jim.sample(jax.random.PRNGKey(42)) jim.get_samples() -jim.print_summary() -plot_summary(jim.sampler) \ No newline at end of file +jim.print_summary() \ No newline at end of file diff --git a/test/integration/test_GW150914_D_heterodyne.py b/test/integration/test_GW150914_D_heterodyne.py index bf97efdb..6d139dc8 100644 --- a/test/integration/test_GW150914_D_heterodyne.py +++ b/test/integration/test_GW150914_D_heterodyne.py @@ -132,4 +132,4 @@ jim.sample(jax.random.PRNGKey(42)) jim.get_samples() -jim.print_summary() +jim.print_summary() \ No newline at end of file diff --git a/test/integration/test_GW150914_Pv2.py b/test/integration/test_GW150914_Pv2.py index e155237d..3d8e9f20 100644 --- a/test/integration/test_GW150914_Pv2.py +++ b/test/integration/test_GW150914_Pv2.py @@ -1,7 +1,3 @@ -import os -os.environ["CUDA_VISIBLE_DEVICES"] = "0" -os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10" - import time import jax @@ -16,8 +12,6 @@ from jimgw.single_event.transforms import MassRatioToSymmetricMassRatioTransform, SpinToCartesianSpinTransform from flowMC.strategy.optimization import optimization_Adam -from flowMC.utils.postprocessing import plot_summary - jax.config.update("jax_enable_x64", True) ########################################### @@ -96,7 +90,7 @@ likelihood_transforms = [ SpinToCartesianSpinTransform(name_mapping=[["theta_jn", "phi_jl", "theta_1", "theta_2", "phi_12", "a_1", "a_2"], ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"]], freq_ref=20.0), - MassRatioToSymmetricMassRatioTransform, + MassRatioToSymmetricMassRatioTransform(name_mapping=[["q"], ["eta"]]), ] likelihood = TransientLikelihoodFD( @@ -145,6 +139,4 @@ jim.sample(jax.random.PRNGKey(42)) jim.get_samples() -jim.print_summary() - -plot_summary(jim.sampler) \ No newline at end of file +jim.print_summary() \ No newline at end of file diff --git a/test/integration/test_mass_transforms.py b/test/integration/test_mass_transforms.py index ec7631cb..f8056d0c 100644 --- a/test/integration/test_mass_transforms.py +++ b/test/integration/test_mass_transforms.py @@ -95,33 +95,11 @@ def evaluate(self, params: dict[str, Float], data: dict) -> Float: jim = Jim(likelihood, combine_prior, likelihood_transforms=[mass_transform], - n_chains = 200, + n_chains = 50, parameter_names=['M_c', 'q'], - n_loop_training=20, - n_loop_production=5, + n_loop_training=2, + n_loop_production=2, local_sampler_arg=local_sampler_arg) jim.sample(jax.random.PRNGKey(0)) -jim.print_summary() - -# Go from Mc, q samples to m1, m2 samples -chains_named = jim.get_samples() -m1m2_named = mass_transform.forward(chains_named) -m1, m2 = m1m2_named['m_1'], m1m2_named['m_2'] - -### Prior space: -chains = np.array([chains_named['M_c'], chains_named['q']]).T -chains = np.reshape(chains, (-1, 2)) -corner.corner(chains, truths = np.array([true_mc, true_q]), **default_corner_kwargs) - -plt.savefig("./figures/test_mass_transform_before.png", bbox_inches = 'tight') -plt.close() - -### Transformed space: -chains = np.array([m1, m2]).T -chains = np.reshape(chains, (-1, 2)) - -corner.corner(chains, truths = np.array([true_m1, true_m2]), **default_corner_kwargs) - -plt.savefig("./figures/test_mass_transform_after.png", bbox_inches = 'tight') -plt.close() \ No newline at end of file +jim.print_summary() \ No newline at end of file From c66c65ca35b925734877850da4f88d023bf26b7d Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Wed, 21 Aug 2024 23:38:12 -0700 Subject: [PATCH 04/12] Reverted some src code and updated tests accordingly --- src/jimgw/single_event/transforms.py | 112 ++++++++++++++++++++--- src/jimgw/transforms.py | 36 -------- test/integration/test_GW150914_D.py | 4 +- test/integration/test_mass_transforms.py | 2 +- 4 files changed, 101 insertions(+), 53 deletions(-) diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index 49f01457..31d41dfc 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -8,7 +8,6 @@ BijectiveTransform, NtoNTransform, reverse_bijective_transform, - create_bijective_transform, ) from jimgw.single_event.utils import ( m1_m2_to_Mc_q, @@ -139,25 +138,110 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform +@jaxtyped(typechecker=typechecker) +class ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): + """ + Transform chirp mass and mass ratio to component masses + + Parameters + ---------- + name_mapping : tuple[list[str], list[str]] + The name mapping between the input and output dictionary. + """ + + def __init__( + self, + name_mapping: tuple[list[str], list[str]], + ): + super().__init__(name_mapping) + assert ( + "m_1" in name_mapping[0] + and "m_2" in name_mapping[0] + and "M_c" in name_mapping[1] + and "q" in name_mapping[1] + ) + + def named_transform(x): + Mc, q = m1_m2_to_Mc_q(x["m_1"], x["m_2"]) + return {"M_c": Mc, "q": q} + + self.transform_func = named_transform + + def named_inverse_transform(x): + m1, m2 = Mc_q_to_m1_m2(x["M_c"], x["q"]) + return {"m_1": m1, "m_2": m2} + + self.inverse_transform_func = named_inverse_transform + + +@jaxtyped(typechecker=typechecker) +class ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): + """ + Transform mass ratio to symmetric mass ratio + + Parameters + ---------- + name_mapping : tuple[list[str], list[str]] + The name mapping between the input and output dictionary. + + """ + + def __init__( + self, + name_mapping: tuple[list[str], list[str]], + ): + super().__init__(name_mapping) + assert ( + "m_1" in name_mapping[0] + and "m_2" in name_mapping[0] + and "M_c" in name_mapping[1] + and "eta" in name_mapping[1] + ) + + def named_transform(x): + Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) + return {"M_c": Mc, "eta": eta} + + self.transform_func = named_transform + + def named_inverse_transform(x): + m1, m2 = Mc_eta_to_m1_m2(x["M_c"], x["q"]) + return {"m_1": m1, "m_2": m2} + + self.inverse_transform_func = named_inverse_transform + + +@jaxtyped(typechecker=typechecker) +class MassRatioToSymmetricMassRatioTransform(BijectiveTransform): + """ + Transform mass ratio to symmetric mass ratio + + Parameters + ---------- + name_mapping : tuple[list[str], list[str]] + The name mapping between the input and output dictionary. + + """ + + def __init__( + self, + name_mapping: tuple[list[str], list[str]], + ): + super().__init__(name_mapping) + assert "q" == name_mapping[0][0] and "eta" == name_mapping[1][0] + + self.transform_func = lambda x: {"eta": q_to_eta(x["q"])} + self.inverse_transform_func = lambda x: {"q": eta_to_q(x["eta"])} + -# Pre-made bijective transforms: -ComponentMassesToChirpMassMassRatioTransform = create_bijective_transform( - (["m_1", "m_2"], ["M_c", "q"]), m1_m2_to_Mc_q, Mc_q_to_m1_m2 -) ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassMassRatioTransform + ComponentMassesToChirpMassMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "q"])) ) -ComponentMassesToChirpMassSymmetricMassRatioTransform = create_bijective_transform( - (["m_1", "m_2"], ["M_c", "eta"]), m1_m2_to_Mc_eta, Mc_eta_to_m1_m2 -) ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassSymmetricMassRatioTransform + ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "eta"])) ) -MassRatioToSymmetricMassRatioTransform = create_bijective_transform( - (["q"], ["eta"]), q_to_eta, eta_to_q -) SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform( - MassRatioToSymmetricMassRatioTransform + MassRatioToSymmetricMassRatioTransform(name_mapping=(["q"], ["eta"])) ) diff --git a/src/jimgw/transforms.py b/src/jimgw/transforms.py index 268bfd5c..768c82c4 100644 --- a/src/jimgw/transforms.py +++ b/src/jimgw/transforms.py @@ -447,42 +447,6 @@ def __init__( } -def create_bijective_transform( - name_mapping: tuple[list[str], list[str]], - transform_func_array: Callable[[Float], Float], - inverse_transform_func_array: Callable[[Float], Float], -) -> BijectiveTransform: - """ - Utility function to create a BijectiveTransform object given a name_mapping and the forward and backward transform functions which take arrays as input, e.g. coming from the utils module. - - Args: - name_mapping (tuple[list[str], list[str]]): The name_mapping to be used in the named transforms. - transform_func_array (Callable[[Float], Float]): The forward function method taking an array as input. - inverse_transform_func_array (Callable[[Float], Float]): The inverse function method taking an array as input. - - Returns: - BijectiveTransform: The BijectiveTransform object. - """ - - def named_transform_func(x_named: dict[str, Float]) -> dict[str, Float]: - x_array = jnp.array([x_named[key] for key in name_mapping[0]]) - y_array = transform_func_array(*x_array) - y_named = dict(zip(name_mapping[1], jnp.atleast_1d(y_array))) - return y_named - - def named_inverse_transform_func(y_named: dict[str, Float]) -> dict[str, Float]: - y_array = jnp.array([y_named[key] for key in name_mapping[1]]) - x_array = inverse_transform_func_array(*y_array) - x_named = dict(zip(name_mapping[0], jnp.atleast_1d(x_array))) - return x_named - - new_transform = BijectiveTransform(name_mapping) - new_transform.transform_func = named_transform_func - new_transform.inverse_transform_func = named_inverse_transform_func - - return new_transform - - def reverse_bijective_transform( original_transform: BijectiveTransform, ) -> BijectiveTransform: diff --git a/test/integration/test_GW150914_D.py b/test/integration/test_GW150914_D.py index 2bb536a2..9d3ba827 100644 --- a/test/integration/test_GW150914_D.py +++ b/test/integration/test_GW150914_D.py @@ -68,7 +68,7 @@ ) sample_transforms = [ - ComponentMassesToChirpMassMassRatioTransform, + ComponentMassesToChirpMassMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "q"])), BoundToUnbound(name_mapping = [["M_c"], ["M_c_unbounded"]], original_lower_bound=M_c_min, original_upper_bound=M_c_max), BoundToUnbound(name_mapping = [["q"], ["q_unbounded"]], original_lower_bound=q_min, original_upper_bound=q_max), BoundToUnbound(name_mapping = [["s1_z"], ["s1_z_unbounded"]] , original_lower_bound=-1.0, original_upper_bound=1.0), @@ -84,7 +84,7 @@ ] likelihood_transforms = [ - ComponentMassesToChirpMassSymmetricMassRatioTransform, + ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "eta"])), ] likelihood = TransientLikelihoodFD( diff --git a/test/integration/test_mass_transforms.py b/test/integration/test_mass_transforms.py index f8056d0c..1a85ac0d 100644 --- a/test/integration/test_mass_transforms.py +++ b/test/integration/test_mass_transforms.py @@ -95,7 +95,7 @@ def evaluate(self, params: dict[str, Float], data: dict) -> Float: jim = Jim(likelihood, combine_prior, likelihood_transforms=[mass_transform], - n_chains = 50, + n_chains = 10, parameter_names=['M_c', 'q'], n_loop_training=2, n_loop_production=2, From f0bca2f6dcbe5de38dfc8877131d183d109c8322 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Wed, 21 Aug 2024 23:38:42 -0700 Subject: [PATCH 05/12] Formatting --- src/jimgw/single_event/transforms.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index 31d41dfc..bf43a7d5 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -138,6 +138,7 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform + @jaxtyped(typechecker=typechecker) class ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): """ @@ -235,11 +236,15 @@ def __init__( ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "q"])) + ComponentMassesToChirpMassMassRatioTransform( + name_mapping=(["m_1", "m_2"], ["M_c", "q"]) + ) ) ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "eta"])) + ComponentMassesToChirpMassSymmetricMassRatioTransform( + name_mapping=(["m_1", "m_2"], ["M_c", "eta"]) + ) ) SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform( From 1d4bb21b82d4b5eb2dcec86c5222ee3111660ba7 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Tue, 27 Aug 2024 01:21:31 -0700 Subject: [PATCH 06/12] Updated the tests to the new transforms --- test/integration/corner.jpeg | Bin 0 -> 414068 bytes test/integration/diagnostic.jpeg | Bin 0 -> 82859 bytes .../single_event_runrun_manager_summary.txt | 36 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Pzq=Uz!{0~#`tkn(yPs1z literal 0 HcmV?d00001 diff --git a/test/integration/single_event_runrun_manager_summary.txt b/test/integration/single_event_runrun_manager_summary.txt new file mode 100644 index 00000000..e9782a2a --- /dev/null +++ b/test/integration/single_event_runrun_manager_summary.txt @@ -0,0 +1,36 @@ +Training summary +========== +dec: 1.220 +/- 0.662 +ra: 1.921 +/- 1.016 +psi: 1.620 +/- 0.999 +iota: 1.795 +/- 0.476 +phase_c: 3.246 +/- 1.320 +t_c: -0.025 +/- 0.014 +d_L: 1275.296 +/- 587.710 +s2_z: 0.456 +/- 0.274 +s1_z: -0.647 +/- 0.287 +q: 0.515 +/- 0.104 +M_c: 43.083 +/- 21.050 +Log probability: nan +/- nan +Local acceptance: 0.625 +/- 0.484 +Global acceptance: 0.188 +/- 0.390 +Max loss: 17.043, Min loss: 16.057 +Production summary +========== +dec: 1.214 +/- 0.660 +ra: 1.921 +/- 1.012 +psi: 1.557 +/- 0.996 +iota: 1.739 +/- 0.466 +phase_c: 2.765 +/- 0.979 +t_c: -0.021 +/- 0.013 +d_L: 1253.182 +/- 568.411 +s2_z: 0.425 +/- 0.176 +s1_z: -0.651 +/- 0.273 +q: 0.489 +/- 0.082 +M_c: 42.606 +/- 20.566 +Log probability: nan +/- nan +Local acceptance: 0.750 +/- 0.433 +Global acceptance: 0.062 +/- 0.242 +SNR of detector H1 is 29.763917711763696 +SNR of detector L1 is 51.11730418963541 +network SNR is 59.15124331041875 diff --git a/test/integration/test_GW150914_D.py b/test/integration/test_GW150914_D.py index 9d3ba827..5103e5d8 100644 --- a/test/integration/test_GW150914_D.py +++ b/test/integration/test_GW150914_D.py @@ -68,7 +68,7 @@ ) sample_transforms = [ - ComponentMassesToChirpMassMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "q"])), + ComponentMassesToChirpMassMassRatioTransform, BoundToUnbound(name_mapping = [["M_c"], ["M_c_unbounded"]], original_lower_bound=M_c_min, original_upper_bound=M_c_max), BoundToUnbound(name_mapping = [["q"], ["q_unbounded"]], original_lower_bound=q_min, original_upper_bound=q_max), BoundToUnbound(name_mapping = [["s1_z"], ["s1_z_unbounded"]] , original_lower_bound=-1.0, original_upper_bound=1.0), @@ -78,13 +78,13 @@ BoundToUnbound(name_mapping = [["phase_c"], ["phase_c_unbounded"]] , original_lower_bound=0.0, original_upper_bound=2 * jnp.pi), BoundToUnbound(name_mapping = [["iota"], ["iota_unbounded"]], original_lower_bound=0., original_upper_bound=jnp.pi), BoundToUnbound(name_mapping = [["psi"], ["psi_unbounded"]], original_lower_bound=0.0, original_upper_bound=jnp.pi), - SkyFrameToDetectorFrameSkyPositionTransform(name_mapping = [["ra", "dec"], ["zenith", "azimuth"]], gps_time=gps, ifos=ifos), + SkyFrameToDetectorFrameSkyPositionTransform(gps_time=gps, ifos=ifos), BoundToUnbound(name_mapping = [["zenith"], ["zenith_unbounded"]], original_lower_bound=0.0, original_upper_bound=jnp.pi), BoundToUnbound(name_mapping = [["azimuth"], ["azimuth_unbounded"]], original_lower_bound=0.0, original_upper_bound=2 * jnp.pi), ] likelihood_transforms = [ - ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=(["m_1", "m_2"], ["M_c", "eta"])), + ComponentMassesToChirpMassSymmetricMassRatioTransform, ] likelihood = TransientLikelihoodFD( diff --git a/test/integration/test_GW150914_D_heterodyne.py b/test/integration/test_GW150914_D_heterodyne.py index 6d139dc8..cbac1788 100644 --- a/test/integration/test_GW150914_D_heterodyne.py +++ b/test/integration/test_GW150914_D_heterodyne.py @@ -62,7 +62,7 @@ ) sample_transforms = [ - ComponentMassesToChirpMassMassRatioTransform(name_mapping=[["m_1", "m_2"], ["M_c", "q"]]), + ComponentMassesToChirpMassMassRatioTransform, BoundToUnbound(name_mapping = [["M_c"], ["M_c_unbounded"]], original_lower_bound=M_c_min, original_upper_bound=M_c_max), BoundToUnbound(name_mapping = [["q"], ["q_unbounded"]], original_lower_bound=q_min, original_upper_bound=q_max), BoundToUnbound(name_mapping = [["s1_z"], ["s1_z_unbounded"]] , original_lower_bound=-1.0, original_upper_bound=1.0), @@ -72,13 +72,13 @@ BoundToUnbound(name_mapping = [["phase_c"], ["phase_c_unbounded"]] , original_lower_bound=0.0, original_upper_bound=2 * jnp.pi), BoundToUnbound(name_mapping = [["iota"], ["iota_unbounded"]], original_lower_bound=0., original_upper_bound=jnp.pi), BoundToUnbound(name_mapping = [["psi"], ["psi_unbounded"]], original_lower_bound=0.0, original_upper_bound=jnp.pi), - SkyFrameToDetectorFrameSkyPositionTransform(name_mapping = [["ra", "dec"], ["zenith", "azimuth"]], gps_time=gps, ifos=ifos), + SkyFrameToDetectorFrameSkyPositionTransform(gps_time=gps, ifos=ifos), BoundToUnbound(name_mapping = [["zenith"], ["zenith_unbounded"]], original_lower_bound=0.0, original_upper_bound=jnp.pi), BoundToUnbound(name_mapping = [["azimuth"], ["azimuth_unbounded"]], original_lower_bound=0.0, original_upper_bound=2 * jnp.pi), ] likelihood_transforms = [ - ComponentMassesToChirpMassSymmetricMassRatioTransform(name_mapping=[["m_1", "m_2"], ["M_c", "eta"]]), + ComponentMassesToChirpMassSymmetricMassRatioTransform, ] likelihood = HeterodynedTransientLikelihoodFD( diff --git a/test/integration/test_GW150914_Pv2.py b/test/integration/test_GW150914_Pv2.py index 3d8e9f20..9892058d 100644 --- a/test/integration/test_GW150914_Pv2.py +++ b/test/integration/test_GW150914_Pv2.py @@ -89,8 +89,8 @@ ] likelihood_transforms = [ - SpinToCartesianSpinTransform(name_mapping=[["theta_jn", "phi_jl", "theta_1", "theta_2", "phi_12", "a_1", "a_2"], ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"]], freq_ref=20.0), - MassRatioToSymmetricMassRatioTransform(name_mapping=[["q"], ["eta"]]), + SpinToCartesianSpinTransform(freq_ref=20.0), + MassRatioToSymmetricMassRatioTransform, ] likelihood = TransientLikelihoodFD( diff --git a/test/integration/test_mass_transforms.py b/test/integration/test_mass_transforms.py index 1a85ac0d..65b95244 100644 --- a/test/integration/test_mass_transforms.py +++ b/test/integration/test_mass_transforms.py @@ -1,5 +1,5 @@ import os -os.environ["CUDA_VISIBLE_DEVICES"] = "2" +os.environ["CUDA_VISIBLE_DEVICES"] = "3" os.environ["XLA_PYTHON_CLIENT_MEM_FRACTION"] = "0.10" import numpy as np @@ -85,7 +85,8 @@ def evaluate(self, params: dict[str, Float], data: dict) -> Float: likelihood = MyLikelihood(true_m1, true_m2) mass_transform = ChirpMassMassRatioToComponentMassesTransform -print(mass_transform.name_mapping) +print("Checking mass_transform repr") +print(repr(mass_transform)) # Other stuff we have to give to Jim to make it work step = 5e-3 From 95bc462d67d641ed61df918c99b6f3d006b4c43c Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Tue, 27 Aug 2024 01:22:03 -0700 Subject: [PATCH 07/12] New transforms --- src/jimgw/single_event/transforms.py | 125 ++++++--------------------- src/jimgw/transforms.py | 1 + 2 files changed, 29 insertions(+), 97 deletions(-) diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index bf43a7d5..df193d68 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -33,30 +33,16 @@ class SpinToCartesianSpinTransform(NtoNTransform): def __init__( self, - name_mapping: tuple[list[str], list[str]], freq_ref: Float, ): + name_mapping = ( + ["theta_jn", "phi_jl", "theta_1", "theta_2", "phi_12", "a_1", "a_2"], + ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"] + ) super().__init__(name_mapping) self.freq_ref = freq_ref - assert ( - "theta_jn" in name_mapping[0] - and "phi_jl" in name_mapping[0] - and "theta_1" in name_mapping[0] - and "theta_2" in name_mapping[0] - and "phi_12" in name_mapping[0] - and "a_1" in name_mapping[0] - and "a_2" in name_mapping[0] - and "iota" in name_mapping[1] - and "s1_x" in name_mapping[1] - and "s1_y" in name_mapping[1] - and "s1_z" in name_mapping[1] - and "s2_x" in name_mapping[1] - and "s2_y" in name_mapping[1] - and "s2_z" in name_mapping[1] - ) - def named_transform(x): iota, s1x, s1y, s1z, s2x, s2y, s2z = spin_to_cartesian_spin( x["theta_jn"], @@ -82,18 +68,13 @@ def named_transform(x): } self.transform_func = named_transform + @jaxtyped(typechecker=typechecker) class SkyFrameToDetectorFrameSkyPositionTransform(BijectiveTransform): """ Transform sky frame to detector frame sky position - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. - """ gmst: Float @@ -102,10 +83,10 @@ class SkyFrameToDetectorFrameSkyPositionTransform(BijectiveTransform): def __init__( self, - name_mapping: tuple[list[str], list[str]], gps_time: Float, ifos: GroundBased2G, ): + name_mapping = (["ra", "dec"], ["zenith", "azimuth"]) super().__init__(name_mapping) self.gmst = ( @@ -115,13 +96,6 @@ def __init__( self.rotation = euler_rotation(delta_x) self.rotation_inv = jnp.linalg.inv(self.rotation) - assert ( - "ra" in name_mapping[0] - and "dec" in name_mapping[0] - and "zenith" in name_mapping[1] - and "azimuth" in name_mapping[1] - ) - def named_transform(x): zenith, azimuth = ra_dec_to_zenith_azimuth( x["ra"], x["dec"], self.gmst, self.rotation @@ -140,27 +114,14 @@ def named_inverse_transform(x): @jaxtyped(typechecker=typechecker) -class ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): +class _ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): """ - Transform chirp mass and mass ratio to component masses - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. + Transform chirp mass and mass ratio to component masses. Instantiated to object below. """ - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - ): + def __init__(self): + name_mapping = (["m_1", "m_2"], ["M_c", "q"]) super().__init__(name_mapping) - assert ( - "m_1" in name_mapping[0] - and "m_2" in name_mapping[0] - and "M_c" in name_mapping[1] - and "q" in name_mapping[1] - ) def named_transform(x): Mc, q = m1_m2_to_Mc_q(x["m_1"], x["m_2"]) @@ -174,30 +135,16 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform - @jaxtyped(typechecker=typechecker) -class ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): +class _ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): """ - Transform mass ratio to symmetric mass ratio - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. - + Transform mass ratio to symmetric mass ratio. Instantiated to object below. """ - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - ): + def __init__(self): + name_mapping = (["m_1", "m_2"], ["M_c", "eta"]) super().__init__(name_mapping) - assert ( - "m_1" in name_mapping[0] - and "m_2" in name_mapping[0] - and "M_c" in name_mapping[1] - and "eta" in name_mapping[1] - ) + def named_transform(x): Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) @@ -211,42 +158,26 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform - @jaxtyped(typechecker=typechecker) -class MassRatioToSymmetricMassRatioTransform(BijectiveTransform): +class _MassRatioToSymmetricMassRatioTransform(BijectiveTransform): """ - Transform mass ratio to symmetric mass ratio - - Parameters - ---------- - name_mapping : tuple[list[str], list[str]] - The name mapping between the input and output dictionary. - + Transform mass ratio to symmetric mass ratio. Instantiated to object below. """ - def __init__( - self, - name_mapping: tuple[list[str], list[str]], - ): + def __init__(self): + name_mapping = (["q"], ["eta"]) super().__init__(name_mapping) - assert "q" == name_mapping[0][0] and "eta" == name_mapping[1][0] self.transform_func = lambda x: {"eta": q_to_eta(x["q"])} self.inverse_transform_func = lambda x: {"q": eta_to_q(x["eta"])} + + def __repr__(self): + return f"{self.__class__.__name__[1:]}()" +ComponentMassesToChirpMassMassRatioTransform = _ComponentMassesToChirpMassMassRatioTransform() +ComponentMassesToChirpMassSymmetricMassRatioTransform = _ComponentMassesToChirpMassSymmetricMassRatioTransform() +MassRatioToSymmetricMassRatioTransform = _MassRatioToSymmetricMassRatioTransform() -ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassMassRatioTransform( - name_mapping=(["m_1", "m_2"], ["M_c", "q"]) - ) -) - -ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform( - ComponentMassesToChirpMassSymmetricMassRatioTransform( - name_mapping=(["m_1", "m_2"], ["M_c", "eta"]) - ) -) - -SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform( - MassRatioToSymmetricMassRatioTransform(name_mapping=(["q"], ["eta"])) -) +ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform(ComponentMassesToChirpMassMassRatioTransform) +ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform(ComponentMassesToChirpMassSymmetricMassRatioTransform) +SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform(MassRatioToSymmetricMassRatioTransform) \ No newline at end of file diff --git a/src/jimgw/transforms.py b/src/jimgw/transforms.py index 768c82c4..915802a0 100644 --- a/src/jimgw/transforms.py +++ b/src/jimgw/transforms.py @@ -458,5 +458,6 @@ def reverse_bijective_transform( reversed_transform = BijectiveTransform(name_mapping=reversed_name_mapping) reversed_transform.transform_func = original_transform.inverse_transform_func reversed_transform.inverse_transform_func = original_transform.transform_func + reversed_transform.__repr__ = lambda: f"Reversed{repr(original_transform)}" return reversed_transform From b3898e1b37c74b971dd4d9d2c32fb442db8cb72f Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Tue, 27 Aug 2024 01:23:01 -0700 Subject: [PATCH 08/12] precommit --- src/jimgw/single_event/transforms.py | 29 +++++++++++++++++++--------- 1 file changed, 20 insertions(+), 9 deletions(-) diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index df193d68..832c84a9 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -37,7 +37,7 @@ def __init__( ): name_mapping = ( ["theta_jn", "phi_jl", "theta_1", "theta_2", "phi_12", "a_1", "a_2"], - ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"] + ["iota", "s1_x", "s1_y", "s1_z", "s2_x", "s2_y", "s2_z"], ) super().__init__(name_mapping) @@ -68,7 +68,6 @@ def named_transform(x): } self.transform_func = named_transform - @jaxtyped(typechecker=typechecker) @@ -135,6 +134,7 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform + @jaxtyped(typechecker=typechecker) class _ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): """ @@ -145,7 +145,6 @@ def __init__(self): name_mapping = (["m_1", "m_2"], ["M_c", "eta"]) super().__init__(name_mapping) - def named_transform(x): Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) return {"M_c": Mc, "eta": eta} @@ -158,6 +157,7 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform + @jaxtyped(typechecker=typechecker) class _MassRatioToSymmetricMassRatioTransform(BijectiveTransform): """ @@ -170,14 +170,25 @@ def __init__(self): self.transform_func = lambda x: {"eta": q_to_eta(x["q"])} self.inverse_transform_func = lambda x: {"q": eta_to_q(x["eta"])} - + def __repr__(self): return f"{self.__class__.__name__[1:]}()" -ComponentMassesToChirpMassMassRatioTransform = _ComponentMassesToChirpMassMassRatioTransform() -ComponentMassesToChirpMassSymmetricMassRatioTransform = _ComponentMassesToChirpMassSymmetricMassRatioTransform() + +ComponentMassesToChirpMassMassRatioTransform = ( + _ComponentMassesToChirpMassMassRatioTransform() +) +ComponentMassesToChirpMassSymmetricMassRatioTransform = ( + _ComponentMassesToChirpMassSymmetricMassRatioTransform() +) MassRatioToSymmetricMassRatioTransform = _MassRatioToSymmetricMassRatioTransform() -ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform(ComponentMassesToChirpMassMassRatioTransform) -ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform(ComponentMassesToChirpMassSymmetricMassRatioTransform) -SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform(MassRatioToSymmetricMassRatioTransform) \ No newline at end of file +ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( + ComponentMassesToChirpMassMassRatioTransform +) +ChirpMassSymmetricMassRatioToComponentMassesTransform = reverse_bijective_transform( + ComponentMassesToChirpMassSymmetricMassRatioTransform +) +SymmetricMassRatioToMassRatioTransform = reverse_bijective_transform( + MassRatioToSymmetricMassRatioTransform +) From 45ebe76f163990a5812c4b9d192a341e92ed7e20 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Wed, 28 Aug 2024 11:53:28 +0200 Subject: [PATCH 09/12] Delete test/integration/corner.jpeg --- test/integration/corner.jpeg | Bin 414068 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 test/integration/corner.jpeg diff --git a/test/integration/corner.jpeg b/test/integration/corner.jpeg deleted file mode 100644 index 08fa8f4eb7ced4f7b6a222d649c850fe7cbf31cc..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 414068 zcmeFa1zc2XyFR=K2`NF44g~>8K}rM%L`tNjOGLW6!9h?!LKFlPqy(fvi6JB;B&8dq 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z@zu2h7GtG^E%I?QK&i$HbydGJcm6y6o`=30CkdA-cw^3WOjhquR)WIqk>a5HUI=Nd zO|OpQQ_8>z`M$blKUAjQ_W4{z2pnZjFnJ8Jbq{o4a8Agg495$FA`e4*Y z30Y~!%D!6Rt%F0NcNLj3z{)QvXP>yim7-r+rhlg>W>H4OK$YxX$1!YJWNO7m6AcHh zTXa$zwZY`InsBNRX-OuImS8}8aA`UY$xXhGP3mtpVBzUn0uCl-9afhzhEhV)9d3}0 z?8d*h*|rJqt_B15ks>~HZc5A7d1-hr;793dtOM8dlutH-x#0HTOICNBP&Bpn6n)T2 zOS6bHB&vfp+`S2C5D0ld+5Iw?=()rTdWCxmJlpXd812}*IxCb9JKH$AIMMH{{>d}J Pzq=Uz!{0~#`tkn(yPs1z From 98e9c0b8d99daa6c894e465299b67703b6543c10 Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Wed, 28 Aug 2024 11:53:51 +0200 Subject: [PATCH 11/12] Delete test/integration/single_event_runrun_manager_summary.txt --- .../single_event_runrun_manager_summary.txt | 36 ------------------- 1 file changed, 36 deletions(-) delete mode 100644 test/integration/single_event_runrun_manager_summary.txt diff --git a/test/integration/single_event_runrun_manager_summary.txt b/test/integration/single_event_runrun_manager_summary.txt deleted file mode 100644 index e9782a2a..00000000 --- a/test/integration/single_event_runrun_manager_summary.txt +++ /dev/null @@ -1,36 +0,0 @@ -Training summary -========== -dec: 1.220 +/- 0.662 -ra: 1.921 +/- 1.016 -psi: 1.620 +/- 0.999 -iota: 1.795 +/- 0.476 -phase_c: 3.246 +/- 1.320 -t_c: -0.025 +/- 0.014 -d_L: 1275.296 +/- 587.710 -s2_z: 0.456 +/- 0.274 -s1_z: -0.647 +/- 0.287 -q: 0.515 +/- 0.104 -M_c: 43.083 +/- 21.050 -Log probability: nan +/- nan -Local acceptance: 0.625 +/- 0.484 -Global acceptance: 0.188 +/- 0.390 -Max loss: 17.043, Min loss: 16.057 -Production summary -========== -dec: 1.214 +/- 0.660 -ra: 1.921 +/- 1.012 -psi: 1.557 +/- 0.996 -iota: 1.739 +/- 0.466 -phase_c: 2.765 +/- 0.979 -t_c: -0.021 +/- 0.013 -d_L: 1253.182 +/- 568.411 -s2_z: 0.425 +/- 0.176 -s1_z: -0.651 +/- 0.273 -q: 0.489 +/- 0.082 -M_c: 42.606 +/- 20.566 -Log probability: nan +/- nan -Local acceptance: 0.750 +/- 0.433 -Global acceptance: 0.062 +/- 0.242 -SNR of detector H1 is 29.763917711763696 -SNR of detector L1 is 51.11730418963541 -network SNR is 59.15124331041875 From ad90d099c0b2e41f3f743e0a66d4ad93354eaa1e Mon Sep 17 00:00:00 2001 From: Thibeau Wouters Date: Mon, 2 Sep 2024 06:55:51 -0700 Subject: [PATCH 12/12] Further consolidation as requested --- src/jimgw/single_event/transforms.py | 101 ++++++++------------------- 1 file changed, 31 insertions(+), 70 deletions(-) diff --git a/src/jimgw/single_event/transforms.py b/src/jimgw/single_event/transforms.py index 832c84a9..cb60e98b 100644 --- a/src/jimgw/single_event/transforms.py +++ b/src/jimgw/single_event/transforms.py @@ -111,77 +111,38 @@ def named_inverse_transform(x): self.inverse_transform_func = named_inverse_transform +def named_m1_m2_to_Mc_q(x): + Mc, q = m1_m2_to_Mc_q(x["m_1"], x["m_2"]) + return {"M_c": Mc, "q": q} + +def named_Mc_q_to_m1_m2(x): + m1, m2 = Mc_q_to_m1_m2(x["M_c"], x["q"]) + return {"m_1": m1, "m_2": m2} + +ComponentMassesToChirpMassMassRatioTransform = BijectiveTransform((["m_1", "m_2"], ["M_c", "q"])) +ComponentMassesToChirpMassMassRatioTransform.transform_func = named_m1_m2_to_Mc_q +ComponentMassesToChirpMassMassRatioTransform.inverse_transform_func = named_Mc_q_to_m1_m2 + +def named_m1_m2_to_Mc_eta(x): + Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) + return {"M_c": Mc, "eta": eta} + +def named_Mc_eta_to_m1_m2(x): + m1, m2 = Mc_eta_to_m1_m2(x["M_c"], x["eta"]) + return {"m_1": m1, "m_2": m2} + +ComponentMassesToChirpMassSymmetricMassRatioTransform = BijectiveTransform((["m_1", "m_2"], ["M_c", "eta"])) +ComponentMassesToChirpMassSymmetricMassRatioTransform.transform_func = named_m1_m2_to_Mc_eta +ComponentMassesToChirpMassSymmetricMassRatioTransform.inverse_transform_func = named_Mc_eta_to_m1_m2 + +def named_q_to_eta(x): + return {"eta": q_to_eta(x["q"])} +def named_eta_to_q(x): + return {"q": eta_to_q(x["eta"])} +MassRatioToSymmetricMassRatioTransform = BijectiveTransform((["q"], ["eta"])) +MassRatioToSymmetricMassRatioTransform.transform_func = named_q_to_eta +MassRatioToSymmetricMassRatioTransform.inverse_transform_func = named_eta_to_q -@jaxtyped(typechecker=typechecker) -class _ComponentMassesToChirpMassMassRatioTransform(BijectiveTransform): - """ - Transform chirp mass and mass ratio to component masses. Instantiated to object below. - """ - - def __init__(self): - name_mapping = (["m_1", "m_2"], ["M_c", "q"]) - super().__init__(name_mapping) - - def named_transform(x): - Mc, q = m1_m2_to_Mc_q(x["m_1"], x["m_2"]) - return {"M_c": Mc, "q": q} - - self.transform_func = named_transform - - def named_inverse_transform(x): - m1, m2 = Mc_q_to_m1_m2(x["M_c"], x["q"]) - return {"m_1": m1, "m_2": m2} - - self.inverse_transform_func = named_inverse_transform - - -@jaxtyped(typechecker=typechecker) -class _ComponentMassesToChirpMassSymmetricMassRatioTransform(BijectiveTransform): - """ - Transform mass ratio to symmetric mass ratio. Instantiated to object below. - """ - - def __init__(self): - name_mapping = (["m_1", "m_2"], ["M_c", "eta"]) - super().__init__(name_mapping) - - def named_transform(x): - Mc, eta = m1_m2_to_Mc_eta(x["m_1"], x["m_2"]) - return {"M_c": Mc, "eta": eta} - - self.transform_func = named_transform - - def named_inverse_transform(x): - m1, m2 = Mc_eta_to_m1_m2(x["M_c"], x["q"]) - return {"m_1": m1, "m_2": m2} - - self.inverse_transform_func = named_inverse_transform - - -@jaxtyped(typechecker=typechecker) -class _MassRatioToSymmetricMassRatioTransform(BijectiveTransform): - """ - Transform mass ratio to symmetric mass ratio. Instantiated to object below. - """ - - def __init__(self): - name_mapping = (["q"], ["eta"]) - super().__init__(name_mapping) - - self.transform_func = lambda x: {"eta": q_to_eta(x["q"])} - self.inverse_transform_func = lambda x: {"q": eta_to_q(x["eta"])} - - def __repr__(self): - return f"{self.__class__.__name__[1:]}()" - - -ComponentMassesToChirpMassMassRatioTransform = ( - _ComponentMassesToChirpMassMassRatioTransform() -) -ComponentMassesToChirpMassSymmetricMassRatioTransform = ( - _ComponentMassesToChirpMassSymmetricMassRatioTransform() -) -MassRatioToSymmetricMassRatioTransform = _MassRatioToSymmetricMassRatioTransform() ChirpMassMassRatioToComponentMassesTransform = reverse_bijective_transform( ComponentMassesToChirpMassMassRatioTransform