13 papers
Data-driven modeling of Galactic diffuse emission with multi-wavelength observations
Xi Liu, Xiaodong Li, Sujie Lin +4
We present a data-driven investigation of Galactic diffuse emission. Using multi-frequency Planck radio/microwave maps (30-857 GHz) and Fermi-LAT gamma-ray data (50 MeV-814 GeV), w…
Cosmological constraints from neighbor-density-weighted marked correlation functions
Xu Xiao, Zhao Chen, Yu Yu +3
We investigate whether neighbor-density-weighted marked correlation functions (MCFs) can extract cosmological information beyond the standard redshift-space two-point correlation f…
Cosmological Constraints from Bias-Robust Wavelet Scattering Statistics for Stage-IV Galaxy Surveys
Zhujun Jiang, Xu Xiao, Zhiwei Min +5
A central challenge in precision cosmology with galaxy surveys is to extract non-Gaussian information from large-scale structure while controlling systematic uncertainties such as…
Physics-Informed Generative Solver: Bridging Data-Driven Priors and Conservation Laws for Stable Spatiotemporal Field Reconstruction
Ziyuan Zhu, Keyu Hu, Zhifei Chen +10
Reconstructing continuous physical fields from sparse measurements is a central inverse problem, but data-driven generative models can produce states that violate governing dynamic…
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…
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…