Machine-learning enhanced photometric analysis of the extremely bright GRB 210822A.

MLA

Angulo-Valdez, Camila, et al. “Machine-Learning Enhanced Photometric Analysis of the Extremely Bright GRB 210822A.” Monthly Notices of the Royal Astronomical Society, vol. 527, no. 3, Jan. 2024, pp. 8140–50. EBSCOhost, https://doi.org/10.1093/mnras/stad3624.

APA

Angulo-Valdez, C., Becerra, R. L., Pereyra, M., Garcia-Cifuentes, K., Vargas, F., Watson, A. M., De, C. F., Fraija, N., Butler, N. R., Dainotti, M. G., Dichiara, S., Lee, W. H., Troja, E., Bloom, J. S., González, J. J., Kutyrev, A. S., Prochaska, J. X., Ramirez-Ruiz, E., & Richer, M. G. (2024). Machine-learning enhanced photometric analysis of the extremely bright GRB 210822A. Monthly Notices of the Royal Astronomical Society, 527(3), 8140–8150. https://doi.org/10.1093/mnras/stad3624

Chicago

Angulo-Valdez, Camila, Rosa L Becerra, Margarita Pereyra, Keneth Garcia-Cifuentes, Felipe Vargas, Alan M Watson, Colle, Fabio De, et al. 2024. “Machine-Learning Enhanced Photometric Analysis of the Extremely Bright GRB 210822A.” Monthly Notices of the Royal Astronomical Society 527 (3): 8140–50. doi:10.1093/mnras/stad3624.