Hanqiong Jia | Cosmology

About Me

I am an M.Sc. candidate in Physics at Ruprecht-Karls-Universität Heidelberg, working with Prof. Luca Amendola.

The keyword to my research interests include:

Model-independent Large-Scale Structure Perturbation Theory Dark Energy & Modified Gravity Primordial Non-Gaussian Weak Lensing High-order Statistics Multi-Tracer Analysis

Education

2022–present · Heidelberg, Germany

Ruprecht-Karls-Universität Heidelberg

M.Sc. in Physics

Advisor: Luca Amendola

2018–2022 · Beijing, China

Beijing Normal University

B.Sc. in Astronomy

Advisor: Bin Hu

Research Focus

Model-Independent Methods for Testing Multiple Cosmology

Coming soon...

Testing the Equivalence Principle with Multi-Tracers

Coming soon...

Dark Energy and Galaxy Clustering from J-PAS

We present forecasts across multiple redshift bins for the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) within flat \(\Lambda\)CDM, including redshift-space distortion and Alcock–Paczynski effects.

The analysis investigates constraints on \(f\sigma_8\), \(\Omega_m\), and the growth index \(\gamma\) using three tracers: luminous red galaxies, emission line galaxies, and quasi-stellar objects.

Talks

02.07.2025

One-loop kernels in scale-dependent Horndeski theory

In this talk, we will discuss the nonlinear evolution of cosmological perturbations in theories with scale- dependent perturbation growth based on the standard perturbation theory framework and apply it to the Horndeski theory. Within the framework of standard perturbation theory, we derive the second- and third-order kernels and show that they are fully determined by two effective functions, \(h_1\) and \(h_c\), which parametrize deviations from general relativity. We show that the kernels are entirely dependent on the linear growing mode: once this is calculated, the kernels are analytic up to a time integral. This approach provides a physically motivated framework for evaluating the one-loop galaxy power spectrum in scale-dependent theories.

[View Slides]