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experiments/data_syn.py

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+# NORMAL
+time_normal = np.arange(10000)
+mag_normal = np.random.normal(size=10000)
+error_normal = np.random.normal(loc=1, scale =0.008, size=10000)
+
+mag_normal2 = np.random.normal(size=10000)
+error_normal2 = np.random.normal(loc=1, scale =0.008, size=10000)
+
+lc_normal = {
+    "time": time_normal,
+    "magnitude": mag_normal,
+    "error": error_normal,
+    "magnitude2": mag_normal2,
+    "aligned_time": time_normal,
+    "aligned_magnitude": mag_normal,
+    "aligned_magnitude2": mag_normal2,
+    "aligned_error": error_normal,
+    "aligned_error2": error_normal2}
+
+# PERIODIC
+import numpy as np
+rand = np.random.RandomState(42)
+time_periodic = 100 * rand.rand(100)
+mag_periodic = np.sin(2 * np.pi * time_periodic) + 0.1 * rand.randn(100)
+
+lc_periodic = {"time": time_periodic, "magnitude": mag_periodic}
+
+# UNIFORM
+lc_uniform = {
+    "time": np.arange(10000),
+    "magnitude": np.random.uniform(size=10000)}