An ultra-highly sensitive LITES sensor based on multi-pass cell with ultra-dense spot pattern designed by multi-objective algorithm

Abstract Multi-pass cell (MPC) with long optical path length (OPL) and high ratio of optical path length to volume (RLV) can significantly enhance the detection performance of light-induced thermoelastic spectroscopy (LITES) sensor and facilitate system integration. In this paper, an ultra-highly sensitive LITES sensor based on a MPC with ultra-dense spot pattern designed by multi-objective algorithm of parallel nondominated sorting genetic algorithm II (PNSGA-II) was reported for the first time. Five MPCs featuring different dense spot patterns were generated using this PNSGA-II algorithm. The experimental measured OPLs with an excellent RLV of > 20 cm −2 closely matched the theoretical results, validating…

• NN
  National Natural Science Foundation of China

  Awards: 62405078, 62275065, 62335006, 62022032
• CP
  China Postdoctoral Science Foundation

  Award: 2024M764172
• NS
  Natural Science Foundation of Heilongjiang Province

  Award: LBH-Z23144
• HP
  Heilongjiang Provincial Postdoctoral Science Foundation

  Awards: LBH-Z24155, LBH-Z23144