
A few more features have been added to the package, and they are described in the experimental features in the tutorials folder. This version is prepared to be distributed only from github, a more stable version will be released to PyPI once those experimental features are verified. New features including: v1.1.0 Include the ability to apply prior to the Bayesian method. A common prior could be the stellar masses estimated from the dynamical methods. v1.1.1-1.1.3 Include a few more useful stellar evolutionary tracks, including the Feiden magnetic tracks, Siess2000, SPOTS models, and Pisa models (basic information has been added to documentation/models, and more information will be added soon). Have the function to force the code to run through even it finds some observation points are outside of the tracks. This is a dangerous approach but is useful for larger dataset. Some other user experience updates: now more models can be selected. --- This is the version that is used in [Zallio+2026](https://arxiv.org/abs/2603.03422), where some of the new features are also presented.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
