Education
Experiences
Last publications
-
C3NN-SBI: Learning Hierarchies of N-Point Statistics from Cosmological Fields with Physics-Informed Neural Networks
Authors: K. Lehman, Z. Gong, D. Gebauer, S. Seitz, J. Weller
arXiv:2602.16768 • 2026
A simulation-based inference framework using a constrained C3NN architecture to learn summary statistics that correspond to N-point correlation functions of specified orders from cosmological fields.
-
SBi3PCF: Simulation-based inference with the integrated 3PCF
Authors: D. Gebauer, A. Halder, S. Seitz, D. Anbajagane
arXiv:2510.13805 • 2025
A framework for higher-order weak lensing analysis using the integrated 3-point correlation function, employing masked autoregressive flows for neural likelihood estimation. Including the i3PCF yields a 63.8% improvement in the figure of merit for cosmological parameters.
-
Cosmology with second and third-order shear statistics for the Dark Energy Survey: Methods and simulated analysis
Authors: R. C. H. Gomes, S. Sugiyama, B. Jain, M. Jarvis, D. Anbajagane, M. Gatti, D. Gebauer, Z. Gong, A. Halder, G. A. Marques, S. Pandey, J. L. Marshall, DES Collaboration
Phys. Rev. D 112, 123514 • 2025
A pipeline for robust inference of cosmological parameters using second- and third-order shear statistics, demonstrating an 83% improvement in the figure of merit when combining third-order with second-order statistics for DES Year 3 data.
-
C3NN: Cosmological Correlator Convolutional Neural Network -- an interpretable machine learning tool for cosmological analyses
Authors: Z. Gong, A. Halder, A. Bohrdt, S. Seitz, D. Gebauer
ApJ 971 156 • 2024
A convolutional neural network architecture whose outputs can be expressed in terms of analytically tractable N-point correlation functions, enabling interpretable and physically meaningful feature extraction from cosmological fields.
-
DES Year 3: Cosmology with the Integrated 3-point Correlation Function of cosmic shear
Authors: A. Halder, Z. Gong, D. Gebauer, S. Seitz, DES Collaboration
in prep. •
-
Application of SBi3PCF to DES Y3 Catalog
Authors: D. Gebauer, A. Halder, C. Uhlemann, Z. Gong
in prep. •
Supervision
- October 2025 - Present
Jannis Schrepel — Bachelor's Thesis
Simulation-Based Inference with the Weak Lensing PDF
Grants & Awards
- 2026
Wilhelm and Else Heraeus Communication Programme — Wilhelm and Else Heraeus Foundation
Travel grant to attend and present at the DPG Spring Meeting in March 2026
- 2024
Dark Energy Survey (DES) Spring 2024 Award — Dark Energy Survey Collaboration
Travel grant to attend and present at the DES International Collaboration Meeting in Spain
Collaborations
Skills
Programming
Python, C, CUDA
Frameworks
Jax, PyTorch, TensorFlow
Machine Learning
Neural density estimation, normalizing flows, convolutional neural networks, simulation-based inference, LIME, SHAP
Cosmological Analysis
Photometric Surveys, Weak Lensing, Galaxy Clustering, Forward Modelling, Higher-Order Statistics