Photo of Nicholas Storm

Nicholas Storm

PhD Student in Astrophysics · MPIA Heidelberg

I’m an astrophysicist specialising in high-resolution stellar spectroscopy of FGK stars. My research focuses on NLTE modelling of neutron‑capture element abundances and their implications for Galactic chemical evolution. Lately I’ve also been working on iron‑peak elements, GCE modelling, Payne neural networks, and the 4MOST spectroscopic survey. In 4MOST, I’m a member of the S4 survey, IWG3 and IWG7 working groups. I’m co‑developer of the open‑source NLTE spectral‑fitting code TSFitPy. My Github profile is here. It includes some other projects, such as Payne neural network training code. Also recently, I've published my Payne network for spectral synthesis here and for fitting here.

Selected Publications (First Author)

Conferences & Talks

Interests

I’m passionate about stellar spectroscopy, especially 1D NLTE and 3D NLTE modelling. My research focuses on the abundance of neutron‑capture elements, with experience in Galactic chemical evolution (GCE) modelling. I have also lately been working on machine‑learning approaches for stellar abundances, particularly using The Payne neural network. If your work overlaps, and you’re looking for a collaborator or speaker, feel free to get in touch!

Interesting plots

Here are some of my interesting plots that I made but have not published. Feel free to use them, just please cite my name. Click to expand:

Cosmic evolution of chemical abundances
Cosmic evolution plot
Evolution of abundances from BBN to the present day, showing the contributions of different nucleosynthetic processes using OMEGA+ GCE code. Based partially on my work in Storm et al. (2025).

Contact

Email: storm AT mpia.de
Max Planck Institute for Astronomy
Königstuhl 17, 69117 Heidelberg, Germany