DOE OSTI · 1993446
PID Temperature Controller Autotuning for Skipper-CCDs
Abstract
Proportional-integral-derivative (PID) temperature control of Skipper-CCDs is important for dark matter direct-detection experiments, e.g., SENSEI@MINOS. The project goal is to create an autotuned PID controller in Python to replace expensive Lake Shore temperature controllers.
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Jones, Evan. 2023-08-03. PID Temperature Controller Autotuning for Skipper-CCDs. https://doi.org/10.2172/1993446
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