16 citations · 19 across the 6 of their papers we have counts for
7 papers · 1 filter
Simulation-based inference with the integrated 3PCF
David Gebauer, Anik Halder, Stella Seitz +1
We present , a simulation-based inference (SBI) framework for analysing a higher-order weak lensing statistic, the integrated 3-point correlation function (i3PCF)…
Bye binormal: analysing the joint PDF of galaxy density and weak lensing convergence
Oliver Friedrich, Lina Castiblanco, Anik Halder +1
At any given scale, 32-point statistics extract only three numbers from the joint distribution of the cosmic matter density and galaxy density fluctuations: their variances…
C3NN: Cosmological Correlator Convolutional Neural Network -- an interpretable machine learning tool for cosmological analyses
Zhengyangguang Gong, Anik Halder, Annabelle Bohrdt +2
Modern cosmological research in large scale structure has witnessed an increasing number of applications of machine learning methods. Among them, Convolutional Neural Networks (CNN…
Making the leap I: Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
Alexandre Barthelemy, Anik Halder, Zhengyangguang Gong +1
The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure -- the theory of large deviations (LDT) for mod…
Beyond 32-point cosmology: the integrated shear and galaxy 3-point correlation functions
Anik Halder, Zhengyangguang Gong, Alexandre Barreira +3
We present the integrated 3-point correlation functions (3PCF) involving both the cosmic shear and the galaxy density fields. These are a set of higher-order statistics that descri…
Cosmology from the integrated shear 3-point correlation function: simulated likelihood analyses with machine-learning emulators
Zhengyangguang Gong, Anik Halder, Alexandre Barreira +2
The integrated shear 3-point correlation function measures the correlation between the local shear 2-point function and the 1-point shear aperture mass in patch…