pynucastro: A Python Library for Nuclear Astrophysics. Smith, A. I., Johnson, E. T., Chen, Z., Eiden, K., Willcox, D. E., Boyd, B., Cao, L., DeGrendele, C. J., & Zingale, M. The Astrophysical Journal, 947(2):65, April, 2023.
pynucastro: A Python Library for Nuclear Astrophysics [link]Paper  doi  abstract   bibtex   
Abstract We describe pynucastro 2.0, an open-source library for interactively creating and exploring astrophysical nuclear reaction networks. We demonstrate new methods for approximating rates and use detailed balance to create reverse rates, show how to build networks and determine whether they are appropriate for a particular science application, and discuss the changes made to the library over the past few years. Finally, we demonstrate the validity of the networks produced and share how we use pynucastro networks in simulation codes.
@article{smith_pynucastro_2023,
	title = {pynucastro: {A} {Python} {Library} for {Nuclear} {Astrophysics}},
	volume = {947},
	issn = {0004-637X, 1538-4357},
	shorttitle = {pynucastro},
	url = {https://iopscience.iop.org/article/10.3847/1538-4357/acbaff},
	doi = {10.3847/1538-4357/acbaff},
	abstract = {Abstract
            
              We describe
              pynucastro
              2.0, an open-source
              library
              for interactively creating and exploring astrophysical nuclear reaction networks. We demonstrate new methods for approximating rates and use detailed balance to create reverse rates, show how to build networks and determine whether they are appropriate for a particular science application, and discuss the changes made to the
              library
              over the past few years. Finally, we demonstrate the validity of the networks produced and share how we use
              pynucastro
              networks in simulation codes.},
	number = {2},
	urldate = {2023-04-26},
	journal = {The Astrophysical Journal},
	author = {Smith, Alexander I. and Johnson, Eric T. and Chen, Zhi and Eiden, Kiran and Willcox, Donald E. and Boyd, Brendan and Cao, Lyra and DeGrendele, Christopher J. and Zingale, Michael},
	month = apr,
	year = {2023},
	keywords = {astrophysics, nuclear fusion, uses sympy},
	pages = {65},
}

Downloads: 0