论文标题

GAIA数据版本3。旋转调制和类似太阳变量的颜色变化的模式

Gaia Data Release 3. Rotational modulation and patterns of colour variations in solar-like variables

论文作者

Distefano, E., Lanzafame, A. C., Brugaletta, E., Holl, B., Lanza, A. F., Messina, S., Pagano, I., Audard, M., De Fombelle, G. Jevardat, Lecoeur-Taibi, I., Mowlavi, N., Nienartowicz, K., Rimoldini, L., Evans, D. W., Riello, M., Garcia-Lario, P., Gavras, P., Eyer, L.

论文摘要

Gaia第三数据释放(DR3)显示了474 \,026星的目录,其磁性活性引起的可变性。对于每个恒星,目录提供了大约70个参数的列表,其中最重要的是恒星旋转周期$ p $,光度振幅$ a旋转信号的$ a $ a $ a $ a $ and pearson相关系数$ r_0 $ r_0 $ r_0 $之间的亮度和幅度变化。开发的特定对象研究(SOS)管道是为了表征带有GAIA数据的磁性恒星的,已在Gaia第二个数据发布的纸张中进行了描述。在这里,我们描述了对管道的变化以及一种新的方法来分析Gaia时间序列,并揭示了由仪器效应或研究恒星源的特殊性质引起的虚假信号。使用DR3数据获得的周期振幅图证实了DR2释放中看到的快速旋转星的双峰分布。 DR3数据首次允许分析数千个磁性恒星的幅度变化模式。测得的$ r_0 $值与周期振幅图中的恒星位置密切相关。 $ p $,$ a $和$ r_0 $的参数之间的关系对数千颗恒星推断,对于提高对恒星磁场的理解并改善理论模型非常有用。开发的方法可以揭示虚假信号可以应用于每个已释放的GAIA光度法时间序列,并且有兴趣直接与Gaia时间序列合作的任何人都可以利用。

The Gaia third Data Release (DR3) presents a catalogue of 474\,026 stars with variability induced by magnetic activity. For each star, the catalogue provides a list of about 70 parameters among which the most important are the stellar rotation period $P$, the photometric amplitude $A$ of the rotational signal and the Pearson Correlation Coefficient $r_0$ between brightness and magnitude variations. The Specific Objects Study (SOS) pipeline, developed to characterise magnetically active stars with Gaia Data, has been described in the paper accompanying the Gaia second Data Release. Here we describe the changes made to the pipeline and a new method developed to analyze Gaia time-series and to reveal spurious signals induced by instrumental effects or by the peculiar nature of the investigated stellar source. The period-amplitude diagram obtained with the DR3 data confirms the bimodal distribution of fast rotating stars seen in the DR2 release. The DR3 data permitted, for the first time, to analyze the patterns of magnitude-color variations for thousands of magnetically active stars. The measured $r_0$ values are tightly correlated with the stars position in the period-amplitude diagram. The relationship between the $P$, $A$ and $r_0$ parameters inferred for thousands of stars could be very useful to improve the understanding of stellar magnetic fields and to improve theoretical models. The method developed to reveal the spurious signals can be applied to each of the released Gaia photometric time-series and can be exploited by anyone interested in working directly with Gaia time-series.

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