The 3rd Shanghai Assembly on Cosmology and Structure Formation

Session

Cosmology 5

Nov 20, 2025, 10:55 AM

Tianwen Hall

Conveners

Cosmology 5

• Hanyu Zhang (University of Waterloo)

Description

Emulator and Field Level Inference

62. The Cosmological Emulator Based on KUN Universe Simulations

Dr Yu Yu (Shanghai Jiao Tong University)

11/20/25, 10:55 AM

Cosmology and Large-scale Structure

Talk

In this talk I will introduce Kun, a recently finished high resolution simulation suite for precision cosmology and Chinese Space Station Survey Telescope cosmology science. The Kun suite consists of 129 simulations covering 8 dimensional cosmological parameter space, including dynamic dark energy and massive neutrinos. The CSST Emulator constructed on Kun suite has competitive performance in...

46. Extending CSST Emulator to the DESI era

Zhao Chen (Shanghai Jiao Tong University)

11/20/25, 11:15 AM

Cosmology and Large-scale Structure

Talk

The nonlinear matter power spectrum is the basic statistic in cosmological analysis. However, the theoretical prediction with percent-level accuracy is only from the expansive numerical simulation, which is feasible in the likelihood analysis. The solution is to construct an emulator using a finite number of simulations in a given parameter space. However, most emulators cannot cover the...

31. Probing massive neutrinos with persistent homology

Jiaqi WANG (Shanghai Jiaotong University)

11/20/25, 11:30 AM

Cosmology and Large-scale Structure

Talk

Persistent homology is a powerful tool from the field of topological data analysis, which has shown promise as a novel statistic for cosmological parameter estimation. Compared with traditional two-point statistics, topological measurement presents information on a wide variety of scales and demonstrates a higher sensitivity to distinguish neutrino mass. We build a FLAMINGO-based topology...

91. Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering

Shuren Zhou

11/20/25, 11:45 AM

Talk

We present a hybrid Lagrangian bias expansion emulator for the upcoming China Space Station Telescope (CSST) survey. We combine the Lagrangian bias expansion and the accurate dynamical evolution from N-body simulation, to predict the power spectrum of the biased tracer in real space. We employ the Kun simulation suite to construct the emulator, emulating across the space of 8 cosmological...

12. Simulation-based Inference for Cosmology

Leande Thiele (Kavli IPMU)

11/20/25, 12:00 PM

Cosmology and Large-scale Structure

Talk

Many inverse problems are only implicitly defined through a forward simulator.
In such cases, no closed-form likelihood function is known.
In cosmology, the canonical example is parameter inference from higher-order and field-level statistics.
By training neural networks on samples generated by the simulator, one can obtain an approximate likelihood and thus perform parameter inference.
I...