This project has three main goals:

1. Use a model for gamma-ray burst (GRB) afterglow emissions to generate a training data set for a neural network when a particular parameter 𝑘 = 0.

2. Compare the model to predictions in the literature when that parameter 𝑘 = 2.

3. Repetition of goal 1, but with a different value for 𝑘 = 2

Refereneces:

Granot, J. & Sari, R. 2002, Astrophysical Journal, 568,820

Warren, D. C., Dainotti, M., Barkov, M. V., et al. 2022, Astrophysical Journal, 924, 40