9 papers
Into the Gompverse: A robust Gompertzian reionization model for CMB analyses
Paulo Montero-Camacho, Yin Li, Marco Barquero-Hernández +3
Cosmic reionization is driven by the formation of sources of ultraviolet photons, and hence it is an intrinsically asymmetric process, where its earlier stages occur at a slower pa…
Extracting Cosmological Information from Lightcone Data: A Comparison of CNNs and Summary-Statistic-Based Approaches
Min Zhiwei, Xiao Xu, Jiang Zhujun +9
Lightcone observations are the natural data format of galaxy surveys, but their evolving geometry breaks the translational symmetry assumed by standard convolutional neural network…
Enhancing cosmological constraints with nonlinear tanh transformations of Hermite-Gaussian Derivative fields
Zhiwei Min, Ye Ma, Zhujun Jiang +4
A key goal in large-scale structure analysis is to extract multi-scale information to improve cosmological parameter constraints. In particular, higher-order derivative fields are…
Enhancing Cosmological Constraints by Two-dimensional -cosmic-web Weighted Angular Correlation Functions
Fenfen Yin, Liang Xiao, Wenying Du +6
In this study, we investigate the potential of mark-weighted angular correlation functions (MACFs), which integrate -cosmic-web classification with angular correlation function…
A New Wavelet Scattering Transform-Based Statistic for Cosmological Analysis of Large-Scale Structure
Zhujun Jiang, Xiaolin Luo, Wenying Du +6
Large-scale structure (LSS) analysis in galaxy surveys is a powerful cosmological probe but is limited by tracer bias, which can obscure underlying information and weaken parameter…
Tomographic Alcock-Paczynski Test with Marked Correlation Functions
Liang Xiao, Limin Lai, Zhujun Jiang +2
The tomographic Alcock-Paczynski(AP) method, developed over the past decade, exploits redshift evolution for cosmological determination, aiming to mitigate contamination from redsh…