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arXiv 1004.3698astro-ph.SR
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93个新星光变曲线目录:分类与性质

Catalog of 93 Nova Light Curves: Classification and Properties

Richard J. Strope, Bradley E. Schaefer, Arne A. Henden

摘要:

我们提出了一个目录的93个非常好的观察新星光变曲线。光变曲线是根据229,796个单独测量的星等构建的,中位数覆盖范围延伸到峰值以下8.0等,并且26%的光变曲线在喷发后一直到平静。我们的时间分箱光变曲线以图形和完整的表格形式呈现。我们还计算和制表的许多属性的光变曲线,包括峰值的震级和日期,时间下降2,3,6,和9个从最大的震级,直到亮度恢复到平静的时间,平静的震级,幂律指数的下降率在整个爆发,在这个下降的休息时间,加上更多的具体到每个新星类的属性。我们提出了一个分类系统的新星光变曲线的形状和时间的基础上下降了3个数量级的峰值(t3)。S代表平滑的光变曲线(38%的新星),P代表高原(21%),D代表尘埃下沉(18%),C代表尖形的次级极大值(1%),O代表叠加在平滑下降上的准正弦振荡(4%),F代表平顶光变曲线(2%),J代表叠加在下降上的抖动或耀斑(16%)。我们的分类由这个字母和括号中的t3值组成;例如V1500 Cyg是S(4),GK Per是O(13),DQ Her是D(100),U Sco是P(3)。

英文摘要:

We present a catalog of 93 very-well-observed nova light curves. The light curves were constructed from 229,796 individual measured magnitudes, with the median coverage extending to 8.0 mag below peak and 26% of the light curves following the eruption all the way to quiescence. Our time-binned light curves are presented in figures and as complete tabulations. We also calculate and tabulate many properties about the light curves, including peak magnitudes and dates, times to decline by 2, 3, 6, and 9 magnitudes from maximum, the time until the brightness returns to quiescence, the quiescent magnitude, power law indices of the decline rates throughout the eruption, the break times in this decline, plus many more properties specific to each nova class. We present a classification system for nova light curves based on the shape and the time to decline by 3 magnitudes from peak (t3). The designations are S for smooth light curves (38% of the novae), P for plateaus (21%), D for dust dips (18%), C for cusp-shaped secondary maxima (1%), O for quasi-sinusoidal oscillations superposed on an otherwise smooth decline (4%), F for flat-topped light curves (2%), and J for jitters or flares superposed on the decline (16%). Our classification consists of this single letter followed by the t3 value in parentheses; so for example V1500 Cyg is S(4), GK Per is O(13), DQ Her is D(100), and U Sco is P(3).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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