Measurement of mirror piston misalignments for large segmented telescopes. Diffraction images are generated to train neural networks. The goal is to quantify non-smooth wavefront phase shifts. Various deep learning approaches are used: CNN, RNN and reinforcement learning.

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Name		Name	Last commit message	Last commit date
ContextualBandit.py		ContextualBandit.py
ContextualBanditDiscreteActionSpace.py		ContextualBanditDiscreteActionSpace.py
FourierOptics.py		FourierOptics.py
Global_piston_restoration_of_segmented_mirrors_with_convolutional_recurrent_neural_network_approach.pdf		Global_piston_restoration_of_segmented_mirrors_with_convolutional_recurrent_neural_network_approach.pdf
Mirror.py		Mirror.py
MountainCar.py		MountainCar.py
MountainPiston.py		MountainPiston.py
PistonCNN.py		PistonCNN.py
PistonTools.py		PistonTools.py
README.md		README.md
SVD_Actor_Critic.py		SVD_Actor_Critic.py
TFCrossvalidation.py		TFCrossvalidation.py
TFInference.py		TFInference.py
TFReadRecords.py		TFReadRecords.py
TFRegressionFromUncompleteData.py		TFRegressionFromUncompleteData.py
TFThreads.py		TFThreads.py
TFTrain.py		TFTrain.py
TFTrainCNN.py		TFTrainCNN.py
TFTrainCNNFromMemory.py		TFTrainCNNFromMemory.py
TFTrainLinearCNNFromMemory.py		TFTrainLinearCNNFromMemory.py
TFTrainLinearRegressionFromMemory.py		TFTrainLinearRegressionFromMemory.py
TestSVD.py		TestSVD.py
i1.png		i1.png
my_test.py		my_test.py
ol-43-17-4264.pdf		ol-43-17-4264.pdf
pistonREINFORCEMENT.py		pistonREINFORCEMENT.py
pistonRNN.py		pistonRNN.py
simulacion_piston.py		simulacion_piston.py
test2.py		test2.py
testActorCritic.py		testActorCritic.py
test_ps.py		test_ps.py
valid_first_test.py		valid_first_test.py
vray_osl_simplex_noise_10.png		vray_osl_simplex_noise_10.png
wf1.png		wf1.png
wf2.png		wf2.png

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