{'fraction_non_alphanumeric': 0.014319809069212411, 'fraction_numerical': 0.003579952267303103, 'mean_word_length': 5.5546875, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Predictive thermal model for indirect temperature measurement inside atomic cell of nuclear magnetic resonance gyroscope

This paper describes a methodology for predicting temperatures inside a micro-device at critical locations where thermal sensors cannot be placed. The device under study is a nuclear magnetic resonance gyroscope, an instrument that is highly sensitive to temperature variations. A physical thermal model of the device is developed and validated using experimental measurements from a prototype. A compact thermal model which approximates the behavior of the physical system is obtained through a sequential selection algorithm (with RMS error of approximately 0.15°C). The compact thermal model can be solved rapidly and is therefore suitable for real-time feedback control of the temperature inside the atomic cell.