The hKLM design uses highly segmented readout and machine learning optimization to deliver few-10% momentum resolution for low-energy neutral hadrons via time-of-flight and improved calorimetric energy resolution at higher energies compared to less granular systems.
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Design and Expected Performance for an hKLM at the EIC
The hKLM design uses highly segmented readout and machine learning optimization to deliver few-10% momentum resolution for low-energy neutral hadrons via time-of-flight and improved calorimetric energy resolution at higher energies compared to less granular systems.