Writecorr.py: write text input and write to MSĭoall. Readcorr.py: read data and output as text The following scripts are for handling radio astronomical (MS) dataĬhangefreq.py: change observing frequency Inspect_replaybuffer.py: inspect the replay buffer contents About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators. Simulate.py: generated sky models, systematic errors for data simulationĪnalysis.py: calculate influence function/mapĭocal.sh: shell wrapper to run calibrationĭoinfluence.sh: shell wrapper to run influence mappingĭosimul.sh : shell wrapper to run simulations The figure below shows small areas in the sky before (left) and after (right) calibration. You can copy some example data from here. Traceability to national standards Certicates available 24/7 for up to 10 years Reminder of next calibration Basic Care Preventive maintenance and calibration. The figure below shows the performance of the three. Calibration is key to TOOL CARE A range of gradual service plans to improve your uptime with less breakdowns and increased lifetime. Algorithms tested are: DDPG, TD3 and SAC. Implemented in PyTorch, using openai.gym. All this is completed in less than 2 minutes.
This test returns the level to factory accuracy for all 360°.
With one push of the button, the level takes over the calibration process, with an audible beep indicating when the next move is ready.
#SMART TOOL CALIBRATION PRO#
Code to accompany the paper Deep reinforcement learning for smart calibration of radio telescopes (preprint). The new guided calibration of the Smart Tool Pro is the industry’s most comprehensive field calibration. Using reinforcement learning for hyperparameter tuning in calibration of radio telescopes, and in other data processing pipelines (like elastic net regression).
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