ACME - RNS and Universal Relations with Machine Learning

Wednesday 20 May 2026, 10:00 → 13:00 Europe/Paris

Gregory Papigkiotis (Aristotle University of Thessaloniki), Nikolaos Stergioulas (Aristotle University of Thessaloniki)

The first part of the tutorial will focus on using the public domain RNS code for constructing highly-accurate rotating neutron star models.  The second part will discuss quasi-universal properties of rotating neutron star models. Users will be able to learn a new software package that is used to construct quasi-universal relations with machine-learning methods.

Registration: register by May 19th at this page (zoom link will be email before start of traning session). 

All training material for this session is available at this repository 

1 Introduction to Rotating Neutron Stars

The main theoretical results for Rotating Neutron Star spacetimes will be introduced.

Speaker: Nikolaos Stergioulas (Aristotle University of Thessaloniki)

2026-ACME-RNS.pdf

Paper I

Paper II

Paper III

RNS code repository (v1 & v2)

Rotating Stars in Relativity (review article)

2 Hands-on training with RNS

Several practical examples of different sequences of rotating neutron star models will be discussed. We will use a Python notebook to call RNS and construct figures and tables for test results.

Speaker: Nikolaos Stergioulas (Aristotle University of Thessaloniki)

Tutorials Repository

11:20 Break

3 Introduction to Universal Relations

The main universal relations occurring between fundamental properties of rotating neutron stars will be discussed.

Speaker: Gregory Papigkiotis (Aristotle University of Thessaloniki)

Paper I

Paper II

Paper III

4 Hands-on training on Universal Relations with Machine Learning

The construction of universal relations between fundamental properties of rotating neutron stars will be presented using a new machine-learning approach. An open source code will be introduced and many examples will be worked out in the form of a python notebook.

Speaker: Gregory Papigkiotis (Aristotle University of Thessaloniki)

Tutorials Repository