论文标题
通过苔丝的变异揭示AGN
Revealing AGNs Through TESS Variability
论文作者
论文摘要
我们使用过渡系外行星调查卫星（TESS）数据通过其光学变异性识别29个候选活性银河核（AGN）。高效率，高精度的苔丝光曲线为鉴定AGN的独特机会，包括未通过其他方法选择的AGN。在候选人中，我们发现以前有18个先前被确定为文献中的AGN，或者可以根据发射线诊断，中红外颜色或X射线光度选择。低质量星系中的AGN为超级质量黑洞（SMBH）和Galaxy共同进化提供了一个窗口，其中29名候选人中有8个估计了黑洞质量$ \ mathrm {\ Lessim 10^{6} M _ {\ odot}}} $。低质量星系NGC 4395和NGC 4449是我们五个“高信任”候选人中的两个。通过将我们的方法应用于整个Tess Main和扩展任务数据集，我们希望确定$ \ sim $ 45 $ 45 AGN候选人，其中$ \ sim $ 26将是新的，$ \ sim $ 8将是低质量的星系。
We used Transiting Exoplanet Survey Satellite (TESS) data to identify 29 candidate active galactic nuclei (AGNs) through their optical variability. The high-cadence, high-precision TESS light curves present a unique opportunity for the identification of AGNs, including those not selected through other methods. Of the candidates, we found that 18 have either previously been identified as AGNs in the literature or could have been selected based on emission-line diagnostics, mid-IR colors, or X-ray luminosity. AGNs in low-mass galaxies offer a window into supermassive black hole (SMBH) and galaxy co-evolution and 8 of the 29 candidates have estimated black hole masses $\mathrm{\lesssim 10^{6} M_{\odot}}$. The low-mass galaxies NGC 4395 and NGC 4449 are two of our five "high-confidence" candidates. By applying our methodology to the entire TESS main and extended mission datasets, we expect to identify $\sim$45 more AGN candidates, of which $\sim$26 will be new and $\sim$8 will be in low-mass galaxies.
