ESIGMA Surrogate Data Files

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Akash Maurya, P. Kumar, Scott E. Field, Chandra Kant Mishra, Peter James Nee, Kaushik Paul, Harald Pfeiffer, Adhrit Ravichandran, Vijay Varma
DOI: 10.5281/zenodo.20592020
Cited by: 1

Abstract

This repository contains the surrogate data files for a non-spinning time-domain surrogate model of ESIGMA. The surrogate is built using a new scalable eccentric surrogate modeling technique presented in arxiv:2510.00116. These data files are required in order to use the surrogate model through the Python package ESIGMAPy.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 April 2026
Language
EN
Document type
Dataset