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arXiv 1402.6842astro-ph.COastro-ph.HE
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来自附近超新星工厂的Ia型超新星热光度曲线和喷射质量估算

Type Ia supernova bolometric light curves and ejected mass estimates from the Nearby Supernova Factory

R. Scalzo, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, S. Bongard, C. Buton, F. Cellier-Holzem, M. Childress, N. Chotard, Y. Copin, H. K. Fakhou… 展开作者

R. Scalzo, G. Aldering, P. Antilogus, C. Aragon, S. Bailey, C. Baltay, S. Bongard, C. Buton, F. Cellier-Holzem, M. Childress, N. Chotard, Y. Copin, H. K. Fakhouri, E. Gangler, J. Guy, A. Kim, M. Kowalski, M. Kromer, J. Nordin, P. Nugent, K. Paech, R. Pain, E. Pecontal, R. Pereira, S. Perlmutter, D. Rabinowitz, M. Rigault, K. Runge, C. Saunders, S. A. Sim, G. Smadja, C. Tao, S. Taubenberger, R. C. Thomas, B. A. Weaver

摘要:

我们提出了一个样本的正常Ia型超新星从附近的超新星工厂数据集与分光光度法在足够晚的阶段,估计喷射质量使用的热光曲线。我们根据峰值热光度测量了$^{56}$ Ni质量,然后将$^{56}$ Co衰变尾部的光度与给定质量喷出物的放射性能量释放的预期速率进行比较。我们推断在贝叶斯上下文中使用的喷出物的半解析模型,结合从当代的数值模型作为先验的$^{56}$镍的密度结构和分布的约束在整个喷出物的喷出质量。我们发现了一个很强的相关性之间的喷射质量和光变曲线下降率,因此$^{56}$镍质量,在我们的数据范围从0.9-1.4 $M_\odot$的喷射质量。在我们的基准分析中,大多数快速下降(SALT 2 $x_1 < -1$)的正常SNe Ia具有显著的亚rasekhar喷射质量。

英文摘要:

We present a sample of normal type Ia supernovae from the Nearby Supernova Factory dataset with spectrophotometry at sufficiently late phases to estimate the ejected mass using the bolometric light curve. We measure $^{56}$Ni masses from the peak bolometric luminosity, then compare the luminosity in the $^{56}$Co-decay tail to the expected rate of radioactive energy re- lease from ejecta of a given mass. We infer the ejected mass in a Bayesian context using a semi-analytic model of the ejecta, incorporating constraints from contemporary numerical models as priors on the density structure and distribution of $^{56}$Ni throughout the ejecta. We find a strong correlation between ejected mass and light curve decline rate, and consequently $^{56}$Ni mass, with ejected masses in our data ranging from 0.9-1.4 $M_\odot$. Most fast-declining (SALT2 $x_1 < -1$) normal SNe Ia have significantly sub-Chandrasekhar ejected masses in our fiducial analysis.

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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