MOLLId：用于亚毫米波和毫米波波段自动识别光谱分子线的软件及其在RCW 120原恒星光谱中的应用
MOLLId: software for automatic identification of spectral molecular lines in the sub-millimeter and millimeter bands and its application to the spectra of protostars from the region RCW 120
AI总结：
MOLLId软件通过多级比较光谱数据库实现分子线自动识别，用于分析RCW 120原恒星光谱，发现双组分结构并估计物理参数。
摘要：
在本工作中，我们介绍了MOLLId（MOLecular Line Identification）程序，用于自动分子线的高斯谱形近似。分子识别通过多级比较光谱数据库中线的中心频率和静止频率来实现。该程序通过测试识别年轻恒星对象RCW 120 YSO S1和S2的观测光谱中的分子线，这两个对象位于RCW 120 PDR边界附近。在RCW 120 YSO S1的光谱中，41种分子的100条线在4-6西格玛水平上被识别。在RCW 120 YSO S2的光谱中，79种分子的407条线在3-5西格玛水平上被识别。使用Intel Core i7-12700K CPU，识别时间分别为每个光谱范围6分钟和8分钟。从分析RCW 120 YSO S2中识别出的CH3OH、CH3CN、CH3CCH分子，我们发现双组分结构，并在LTE近似下估计了每组分的物理参数。
英文摘要：
In this work, we present the program MOLLId (MOLecular Line Identification) for automated molecular lines approximation with gaussian profile. Molecular identification was performed using multi-level comparison of the lines' center frequencies and rest frequencies from the spectroscopic database. The program was tested using identification of the molecular lines in observational spectra of young stellar objects RCW 120 YSO S1 and RCW 120 YSO S2, located near the border of the RCW 120 PDR. In the spectra of the RCW 120 YSO S1 source, 100 lines of 41 molecules were identified over the level of 4-6 sigma. In the spectra of the RCW 120 YSO S2 source, 407 lines of 79 molecules were identified over the level 3-5 sigma. Using Intel Core i7-12700K CPU, identification time is equal to 6 and 8 minutes per spectral range for the YSOs S1 and S2, respectively. From the analysis of CH3OH, CH3CN, CH3CCH molecules identified in RCW 120 YSO S2 we found a two-component structure and estimated the physical parameters in the LTE approximation for each of the components.
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