.png){kind=icon}
返回
Classifying Seyfert Galaxies with Deep Learning
.png){kind=icon}
OA
AI
DOI：10.3847/1538-4365/ac13aa.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The traditional classification for a subclass of the Seyfert galaxies is visual inspection or using a quantity defined as a flux ratio between the Balmer line and forbidden line. One algorithm of deep learning is the convolution neural network (CNN), which has shown successful classification results. We build a one-dimensional CNN model to distinguish Seyfert 1.9 spectra from Seyfert 2 galaxies. We find that our model can recognize Seyfert 1.9 and Seyfert 2 spectra with an accuracy of over 80% and pick out an additional Seyfert 1.9 sample that was missed by visual inspection. We use the new Seyfert 1.9 sample to improve the performance of our model and obtain a 91% precision of Seyfert 1.9. These results indicate that our model can pick out Seyfert 1.9 spectra among Seyfert 2 spectra. We decompose the H alpha emission line of our Seyfert 1.9 galaxies by fitting two Gaussian components and derive the line width and flux. We find that the velocity distribution of the broad H alpha component of the new Seyfert 1.9 sample has an extending tail toward the higher end, and the luminosity of the new Seyfert 1.9 sample is slightly weaker than the original Seyfert 1.9 sample. This result indicates that our model can pick out the sources that have a relatively weak broad H alpha component. In addition, we check the distributions of the host galaxy morphology of our Seyfert 1.9 samples and find that the distribution of the host galaxy morphology is dominated by a large bulge galaxy. In the end, we present an online catalog of 1297 Seyfert 1.9 galaxies with measurements of the H alpha emission line.
Keyword:
DIGITAL SKY SURVEY
H-ALPHA
HOST GALAXIES
EMISSION
AGN
CLASSIFICATION
VARIABILITY
MORPHOLOGY
SPECTRA
NUCLEI
期刊
IF:
8.5
论文数:
5.7K
被引数:
4.2W
机构
引用论文
Smoothelin-like 1 knockout mice display sex-dependent alterations in blood flow and cardiac function
PREAI
分享收藏Insights into the dynamics of genome size and chromosome evolution in the early diverging angiosperm lineage Nymphaeales (water lilies).png)
GenomeOAAI
GenomeIF0
OAAI分享收藏
查看更多内容