Citing bayesn-td

If you use bayesn-td in your research, please cite:

  • Mandel et al. 2022 (MNRAS 510, 3, 3939-3966) — the BayeSN model

  • Grayling et al. 2024 (arXiv:2401.08755, MNRAS) — the BayeSN numpyro/JAX code that bayesn-td is built on

  • Grayling et al. 2026 (MNRAS 548) — the bayesn-td methodology paper

In addition, please cite the pre-trained BayeSN model you load:

  • T21_model: Thorp et al. 2021 (MNRAS 508, 3, 4310-4331)

  • G26x_model: Grayling et al. 2026 (MNRAS 548)

  • M20_model: Mandel et al. 2022 (MNRAS 510, 3, 3939-3966)

  • W22_model: Ward et al. 2023 (ApJ 956, 2, 111)

See Built-in models for full details of the available pre-trained models.