Artificial neural network for constructing type Ia supernovae spectrum evolution model

作者：Cheng, Qiao-Bin; Feng, Chao-Jun^*; Zhai, Xiang-Hua^*; Li, Xin-Zhou^*

来源：PHYSICAL REVIEW D, 2018, 97(12): 123530.

DOI：10.1103/PhysRevD.97.123530

• CONSTANT

We construct and train an artificial neural network called the backpropagation neural network to describe the evolution of the type Ia supernova spectrum by using the data from the CfA Supernova Program. This network method has many attractive features, and one of them is that the constructed model is differentiable. Benefiting from this, we calculate the absorption velocity and its variation. The model we constructed can well describe not only the spectrum of SNe Ia with wavelength range from 3500 angstrom to 8000 angstrom but also the light-curve evolution with phase time from -15 to 50 with different colors. Moreover, the number of parameters needed during the training process is much less than the usual methods.

• 出版日期2018-6-20
• 单位上海师范大学