Developing Firmware and Algorithms for the Liquid Argon Signal Processor

In this report we discuss the development of various firmware and algorithms for the digital electronics of the Liquid Argon Signal Processor (LASP), which is designed to measure and reconstruct the energy deposited into the Liquid Argon Calorimeter cells. We first examine the development of firmware for PATGEN, TTCGEN, 10Gbe Base R/KR network protocols. Then we explore the development of novel machine learning algorithms for optimal energy reconstruction given the digital current signals. Lastly, we investigate various hardware tests to examine the functionality of the future electronic boards.