论文标题

Llamaradas estelares:建模白色耀斑的形态

Llamaradas Estelares: Modeling the Morphology of White-Light Flares

论文作者

Mendoza, Guadalupe Tovar, Davenport, James R. A., Agol, Eric, Jackman, James A. G., Hawley, Suzanne L.

论文摘要

恒星变异性是行星检测和表征的限制因素,尤其是在活性M型恒星周围。在这里,我们重新审视了Kepler任务M4 Star GJ 1243中最活跃的恒星之一,并使用了从11个月的1分钟节奏光曲线的414个火炬事件样本来研究白光恒星耀斑的经验形态。我们使用高斯工艺拖延技术来说明潜在的星星。我们提出了一个改进的分析,连续的耀斑模板,该模板是通过将耀斑堆放到缩放时间和振幅上而产生的,并使用马尔可夫链蒙特卡洛分析来适合该模型。我们的模型是使用经典耀斑事件定义的,但也可以用于对复杂的多峰耀斑事件进行建模。我们在10分钟,2分钟和20秒的节奏模式下使用Tess数据证明了模型的实用性。我们的新耀斑型号代码可在GitHub上公开提供。

Stellar variability is a limiting factor for planet detection and characterization, particularly around active M-type stars. Here we revisit one of the most active stars from the Kepler mission, the M4 star GJ 1243, and use a sample of 414 flare events from 11 months of 1-minute cadence light curves to study the empirical morphology of white-light stellar flares. We use a Gaussian process detrending technique to account for the underlying starspots. We present an improved analytic, continuous flare template that is generated by stacking the flares onto a scaled time and amplitude and uses a Markov Chain Monte Carlo analysis to fit the model. Our model is defined using classical flare events, but can also be used to model complex, multi-peaked flare events. We demonstrate the utility of our model using TESS data at the 10-minute, 2-minute and 20-second cadence modes. Our new flare model code is made publicly available on GitHub.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源