论文标题
使用SWIFT和WISE数据将3FGL非相关目录中的Blazar候选者分类为BL LAC和FSRQ
Classifying blazar candidates from the 3FGL unassociated catalog into BL Lacs and FSRQs using Swift and WISE data
论文作者
论文摘要
我们利用机器学习方法将Bl lacertae对象（BL LAC）与可能的X射线Blazar对应物与Fermi 3FGL非相关伽马射线源的样本中的平坦光谱无线电类星体（FSRQ）区分开。从我们以前的工作中，我们提取了84个来源，这些资源被归类为$ \ geq $ 99％的likley，以成为Blazars。然后，我们一起利用Swift $ - $ XRT，FERMI和WISE（广阔的红外调查探索器）数据来区分Blazar，FSRQ或BL lac的特定类型。可以使用各种X射线和伽马射线参数来区分这些子类。这些也已知这些颜色颜色图上占据了不同的参数空间。一起使用所有这些数据将为分类来源提供更强大的结果。我们利用一个随机的森林分类器来计算每个Blazar与BL LAC或FSRQ相关的概率。基于p $ _ {bll} $，这是每个源是BL LAC的概率，我们根据以下值将源放在五个不同的类别中； P$_{bll}$ $\geq$ 99%: highly likely BL Lac, P$_{bll}$ $\geq$ 90%: likely BL Lac, P$_{bll}$ $\leq$ 1%: highly likely FSRQ, P$_{bll}$ $\leq$ 10%: likely FSRQ, and 90% $<$ p $ _ {bll} $ $ <$ <$ 10％：模棱两可。我们的结果将84个Blazar候选人分类为50个可能的BL LAC，其余34个则模棱两可。这些来源的一小部分已被列为最新的Fermi目录4FGL中的相关来源，在这些情况下，我们的结果一致。
We utilize machine learning methods to distinguish BL Lacertae objects (BL Lac) from Flat Spectrum Radio Quasars (FSRQ) within a sample of likely X-ray blazar counterparts to Fermi 3FGL unassociated gamma-ray sources. From our previous work, we have extracted 84 sources that were classified as $\geq$ 99% likley to be blazars. We then utilize Swift$-$XRT, Fermi, and WISE (The Wide-field Infrared Survey Explorer) data together to distinguish the specific type of blazar, FSRQs or BL Lacs. Various X-ray and Gamma-ray parameters can be used to differentiate between these subclasses. These are also known to occupy different parameter space on the WISE color-color diagram. Using all these data together would provide more robust results for the classified sources. We utilized a Random Forest Classifier to calculate the probability for each blazar to be associated with a BL Lac or an FSRQ. Based on P$_{bll}$, which is the probability for each source to be a BL Lac, we placed our sources into five different categories based on this value as follows; P$_{bll}$ $\geq$ 99%: highly likely BL Lac, P$_{bll}$ $\geq$ 90%: likely BL Lac, P$_{bll}$ $\leq$ 1%: highly likely FSRQ, P$_{bll}$ $\leq$ 10%: likely FSRQ, and 90% $<$ P$_{bll}$ $<$ 10%: ambiguous. Our results categorize the 84 blazar candidates as 50 likely BL Lacs and the rest 34 being ambiguous. A small subset of these sources have been listed as associated sources in the most recent Fermi catalog, 4FGL, and in these cases our results are in agreement on the classification.
