BROWDIE：一个利用UKIDSS J、H、K波段巡天搜索T型和Y型矮星的新型机器学习模型
BROWDIE: a New Machine Learning Model for Searching T&Y Dwarfs Using the UKIDSS J, H, K Band Survey
AI总结：
本文提出机器学习模型BROWDIE，仅利用UKIDSS的J、H、K波段测光数据区分褐矮星相似天体，并在DR11PLUS LAS L4区域发现118颗T型和14颗Y型矮星。
摘要：
我们提出了一种使用机器学习（ML）搜索T型和Y型矮星的新模型，称为“BROWn Dwarf Image Explorer（BROWDIE，褐矮星图像探测器）”。据估计，褐矮星（BD）占银河系中所有天体的25%，但其中只有少量得到了深入研究。均匀且完整的褐矮星样本对于推进相关研究至关重要。然而，由于褐矮星非常暗弱，对其进行光谱研究可能具有挑战性。T型和Y型褐矮星是褐矮星中更红、更暗的子类，甚至更难探测。因此，只有少数T型和Y型矮星得到了广泛研究。人们已经进行了许多尝试，包括利用各种色带观测的机器学习方法，来根据褐矮星的颜色识别它们。然而，这些模型通常需要大量的颜色观测，这可能成为一种限制。本研究通过同时利用UKIRT红外深空巡天（UKIDSS）的J、H和K测光数据实现了一个机器学习模型，有效区分了与褐矮星相似的天体。BROWDIE模型使用UKIDSS数据进行训练，并基于该模型在UKIDSS DR11PLUS LAS L4区域中发现了118颗T型矮星和14颗Y型矮星。
英文摘要：
We propose a new T, Y dwarf search model using machine learning (ML), called the "BROWn Dwarf Image Explorer (BROWDIE). Brown dwarfs (BD) are estimated to make up 25 percent of all celestial objects in the Galaxy, yet only a small number have been thoroughly studied. Homogeneous and complete samples of BDs are essential to advance the studies. However, due to their faintness, conducting spectral studies of BDs can be challenging. T\&Y brown dwarfs, a redder and fainter subclass of BDs, are even harder to detect. As a result, only a few T\&Y dwarfs have been extensively studied. Numerous attempts, including ML using various color band observations, have been made to identify BDs based on their colors. However, those models often require a large number of color observations, which can be a limitation. This study implemented an ML model by utilizing data from the J, H, and K photometry of the UKIRT Infrared Deep Sky Surveys (UKIDSS) simultaneously, effectively distinguishing celestial objects similar to BDs. The BROWDIE model was trained using UKIDSS data, and based on the model, 118 T dwarfs and 14 Y dwarfs were found in the UKIDSS DR11PLUS LAS L4 zone.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
