Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Stochastic SFH prior #330

Merged
merged 6 commits into from
Apr 17, 2024
Merged

Stochastic SFH prior #330

merged 6 commits into from
Apr 17, 2024

Conversation

jwan22
Copy link
Contributor

@jwan22 jwan22 commented Apr 15, 2024

Stochastic SFH prior -- adapted from the Extended Regulator model developed in Caplar & Tacchella (2019) and Tacchella, Forbes & Caplar (2020), in conjunction with the GP implementation of Iyer & Speagle et al. (2024), into a physically-motivated prior for non-parametric SFHs. Uses functions from gp_sfh.py and gp_sfh_kernels.py from Kartheik Iyer's GP-SFH module.

@bd-j
Copy link
Owner

bd-j commented Apr 17, 2024

Thanks much @jwan22, this looks great! Merging now.

@bd-j bd-j merged commit b51efb5 into bd-j:main Apr 17, 2024
4 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants