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$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees

Mangrove\texttt{Mangrove}Mangrove: Learning Galaxy Properties from Merger Trees

24 October 2022
C. K. Jespersen
M. Cranmer
Peter Melchior
S. Ho
R. Somerville
Austen Gabrielpillai
ArXivPDFHTML

Papers citing "$\texttt{Mangrove}$: Learning Galaxy Properties from Merger Trees"

4 / 4 papers shown
Title
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Field-level simulation-based inference with galaxy catalogs: the impact of systematic effects
Natalí S. M. de Santi
F. Villaescusa-Navarro
L. Abramo
Helen Shao
Lucia A. Perez
...
F. Marinacci
D. Spergel
K. Dolag
L. Hernquist
M. Vogelsberger
61
4
0
28 Jan 2025
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and
  Equivariant Set-Based Neural Networks
Predicting the Thermal Sunyaev-Zel'dovich Field using Modular and Equivariant Set-Based Neural Networks
L. Thiele
M. Cranmer
W. Coulton
S. Ho
D. Spergel
23
5
0
28 Feb 2022
Learning Symbolic Physics with Graph Networks
Learning Symbolic Physics with Graph Networks
M. Cranmer
Rui Xu
Peter W. Battaglia
S. Ho
PINN
AI4CE
191
84
0
12 Sep 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,240
0
24 Nov 2016
1