# Probing dark energy using convergence power spectrum and bi-spectrum

## TL;DR

This paper investigates how weak lensing convergence power spectrum and bi-spectrum can distinguish between the standard DM dark energy model and alternative models with evolving equations of state.

## Contribution

It explores the detectability of various dark energy models using convergence statistics, extending beyond the DM paradigm.

## Key findings

- Convergence power spectrum and bi-spectrum can differentiate dark energy models.
- Evolving dark energy equations of state impact lensing statistics.
- Methodology enhances understanding of dark energy's role in structure formation.

## Abstract

Weak lensing convergence statistics is a powerful tool to probe dark energy. Dark energy plays an important role to the structure formation and the effects can be detected through the convergence power spectrum, bi-spectrum etc. One of the most promising and simplest dark energy model is the $ \Lambda $CDM. However, it is worth investigating different dark energy models with evolving equation of state of the dark energy. In this work, detectability of different dark energy models from $ \Lambda $CDM model has been explored through convergence power spectrum and bi-spectrum.