Add resubmission draft outputs and network

ThomasGesseyJones · Apr 19, 2024 · 4290438 · 4290438
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diff --git a/figures_and_results/blind_coverage_tests/en_blind_coverage_noise_0.015.pdf b/figures_and_results/blind_coverage_tests/en_blind_coverage_noise_0.015.pdf
diff --git a/figures_and_results/detectability_triangle_plots/detectability_2_sigma_noise_0.0150_K.txt b/figures_and_results/detectability_triangle_plots/detectability_2_sigma_noise_0.0150_K.txt
@@ -1 +1 @@
-Total Definitive Detection Probability: 0.558
+Total Definitive Detection Probability: 0.555
diff --git a/figures_and_results/detectability_triangle_plots/detectability_3_sigma_noise_0.0150_K.txt b/figures_and_results/detectability_triangle_plots/detectability_3_sigma_noise_0.0150_K.txt
@@ -1 +1 @@
-Total Definitive Detection Probability: 0.464
+Total Definitive Detection Probability: 0.460
diff --git a/figures_and_results/detectability_triangle_plots/detectability_5_sigma_noise_0.0150_K.txt b/figures_and_results/detectability_triangle_plots/detectability_5_sigma_noise_0.0150_K.txt
@@ -1 +1 @@
-Total Definitive Detection Probability: 0.314
+Total Definitive Detection Probability: 0.324
diff --git a/...nd_results/detectability_triangle_plots/detectability_triangle_2_sigma_noise_0.0150_K.pdf b/...nd_results/detectability_triangle_plots/detectability_triangle_2_sigma_noise_0.0150_K.pdf
diff --git a/...nd_results/detectability_triangle_plots/detectability_triangle_3_sigma_noise_0.0150_K.pdf b/...nd_results/detectability_triangle_plots/detectability_triangle_3_sigma_noise_0.0150_K.pdf
diff --git a/...nd_results/detectability_triangle_plots/detectability_triangle_5_sigma_noise_0.0150_K.pdf b/...nd_results/detectability_triangle_plots/detectability_triangle_5_sigma_noise_0.0150_K.pdf
diff --git a/figures_and_results/polychord_verification/polychord_verification_noise_0.015.pdf b/figures_and_results/polychord_verification/polychord_verification_noise_0.015.pdf
diff --git a/figures_and_results/polychord_verification/polychord_verification_results_noise_0.015.txt b/figures_and_results/polychord_verification/polychord_verification_results_noise_0.015.txt
@@ -1,25 +1,25 @@
 Polychord Verification Results
 -----------------------------
 
-Mean log K error: 0.2878
-RMSE in log K: 6.7383
+Mean log K error: 0.8847
+RMSE in log K: 9.4485
 
 2 sigma detection statistics:
 57.10% of signals were detectable according to Polychord
 56.30% of signals were detectable according to the network
 -0.80% difference in detection rate
-3.20% of signals changed detection status
+4.00% of signals changed detection status
 
 3 sigma detection statistics:
 47.60% of signals were detectable according to Polychord
-46.30% of signals were detectable according to the network
--1.30% difference in detection rate
-3.90% of signals changed detection status
+46.00% of signals were detectable according to the network
+-1.60% difference in detection rate
+3.40% of signals changed detection status
 
 5 sigma detection statistics:
 30.90% of signals were detectable according to Polychord
-31.70% of signals were detectable according to the network
-0.80% difference in detection rate
-3.80% of signals changed detection status
+33.00% of signals were detectable according to the network
+2.10% difference in detection rate
+4.90% of signals changed detection status
 
-Network testing loss: 0.5956
+Network testing loss: 0.5868
diff --git a/figures_and_results/timing_data/timing_data_noise_0.015.pkl b/figures_and_results/timing_data/timing_data_noise_0.015.pkl
diff --git a/models/en_noise_0.015/global_signal_en_noise_0.015.h5 b/models/en_noise_0.015/global_signal_en_noise_0.015.h5
diff --git a/models/en_noise_0.015/preprocessing_means.npz b/models/en_noise_0.015/preprocessing_means.npz
diff --git a/models/en_noise_0.015/preprocessing_whitenings.npz b/models/en_noise_0.015/preprocessing_whitenings.npz
diff --git a/train_evidence_network.py b/train_evidence_network.py
@@ -78,7 +78,7 @@ def main():
                          signal_simulator,
                          alpha=EN_ALPHA,
                          data_preprocessing=data_preprocessing)
-    en.train(epochs=300,
+    en.train(epochs=900,
              train_data_samples_per_model=32_000_000,
              validation_data_samples_per_model=12_800_000,
              initial_learning_rate=1e-3,

diff --git a/verification_data/en_log_k_noise_0.015.npz b/verification_data/en_log_k_noise_0.015.npz
Original file line number	Diff line number	Diff line change
		@@ -1 +1 @@
		Total Definitive Detection Probability: 0.558
		Total Definitive Detection Probability: 0.555