首页

2023.09.08

Eruptive YSOs in the large-survey era

<p>The Pre-Main-Sequence stellar evolution is shaped by the mass accretion process, which is known for its highly unstable nature. In fact, most of the stellar mass is gathered during &quot;episodic accretion&quot; bursts, which solved the luminosity spread of young clusters. As a consequence of the accretion bursts, eruptive behaviours have been observed on Young Stellar Objects (YSO), such as the decades-...</p>

2023.09.15

AGN Feedback in Dwarfs and Giants Near and Far

<p>AGN feedback is a critical component in modern simulations of galaxy evolution. In dwarf galaxies, both observational and theoretical evidence of AGN feedback are accumulating, shedding new light on the evolution of dwarf galaxies. In massive galaxies, luminous quasars likely drive the most energetic outflows, making them the best laboratories to examine quasar feedback closely across cosmic ti...</p>

2023.08.30

eROSITA All Sky Survey: X-ray emission around galaxies

<p>Studying the distribution and properties of hot gas around galaxies (hot CGM) is helpful to understand the galaxy evolution and explain the bi-modality of the galaxy population, but its observation is challenging. In my talk, I will introduce how eROSITA X-ray all-sky survey allow us to study the hot CGM with a large sample of galaxies and provide more general relationship between CGM and galax...</p>

2023.08.24

Uncovering the Formation and Evolution of Planetary Systems: The Architecture of Hot Jupiter Systems and the Search for Young Planets

<p>The formation and evolution of planetary systems are critical links in understanding how we came to be. With an eye on exoplanet demography, my talk outlines two observational approaches for studying planet formation and evolution. In the first approach, I focus on the aftermath of planet formation by estimating the occurrence rate of hot jupiters with an inner companion planet through a system...</p>

2023.08.21

Active Galactic Nuclei in the NuSTAR Era

<p>Active galactic nuclei (AGN), which represent the rapidly growing phase of the&nbsp;supermassive black holes (SMBH), radiate across the whole electromagnetic spectrum fromradio to Gamma-rays. X-rays, which are seen in most AGN, are an important tool to study the&nbsp;physics of AGN. Thanks to the launch of NuSTAR in 2012, we are able to probe AGN properties&nbsp;in the hard X-ray regime for the first time. In...</p>

2023.08.18

How tides change the orbit of binaries and a new open-source code, gyre_tides, to model stellar tides 潮汐如何改变双星系统的轨道以及介绍一个新的用于计算恒星潮汐的开源代码gyre-tides

<p>GYRE is an open-source stellar oscillation code that calculates wave frequencies and functions for the (unforced) natural modes of an input stellar model. Recently, the code&#39;s capabilities have been extended to encompass forced oscillations, allowing it to calculate the interior perturbations of a star caused by the gravitational field of a companion. The standard approach to simulating tides i...</p>

2023.08.16

Simulating the first stars, galaxies, and black holes in the Universe

<p>Prof. John Wise from Georgia Tech and the director at the Center for Relativistic Astrophysics (CRA)Host: Song Huan</p>

2023.08.15

Dynamics of Transneptunian Objects under the Influence of a Rogue Planet (Thesis Talk) 海王星外天体在流浪行星影响下的动力学

<p>Over the past two decades, our knowledge of the Solar System’s transneptunian region (often called the Kuiper Belt) has been gradually increasing. Observational surveys have greatly expanded the inventory of Trans-Neptunian Objects (TNOs), which are distant icy bodies thought to be relics from the giant planet formation era.In the distant Kuiper Belt, several striking features seem to challeng...</p>

2023.07.13

Can Artificial Intelligence Generate Meaningful Scientific Hypotheses?

<p>The field of Artificial Intelligence (AI) has taken great strides in recent years, particularly with advancements in Large Language Models (LLMs) like ChatGPT. This progress has stirred much public curiosity. However, general-purpose language models like ChatGPT sometimes &#39;hallucinate&#39; or invent non-existent information when handling specialized subjects. This tendency has led to a common belie...</p>

2023.07.28

Towards Optimal Inference of Cosmological Large Scale Structures with Neural Quantile Estimation

<p>Traditional analysis of cosmological Large Scale Structures assumes that the likelihood is Gaussian, which unfortunately is not optimal and may even be biased in the non linear regime. Simulation Based Inference (SBI), also known as Likelihood Free Inference or Implicit Likelihood Inference, directly models the Bayesian optimal posterior, but typically needs a large number of simulations to con...</p>