Recent Research Highlights
- Predict galaxy cluster mass with ML
- With a trained machine learning (ML) model, we, **for the first time**, made predictions on the cluster masses observed by Planck satellite. This work is published in the recent Nature Astronomy Journal (her is the link ). This work inspires future ML techniques in solving astronomy problems, not only in data analysis, model calibration, but also possibly in solving these fundamental questions. More information can be found in these blogs and websites: UE news , notiweb , and also here .
- The Three Hundred project: The GIZMO-SIMBA run
- Our new GIZMO-SIMBA run of the300 galaxy clusters is now out! Check this published paper here: 10.1093/mnras/stac1402 , my presentation and this blog article.
- The colour bimodality in SIMBA simulation
- We show in our recent Nature Astronomy paper that the SIMBA simulation reproduced the observed colour bimodality and further revealed its intrinsic origination -- the halo assembly bias together with SIMBA's unique baryon models. General interests can be found in this news and in my blog .
Acknowledgement
Weiguang Cui gratefully thanks Comunidad de Madrid for the Atracci\'{o}n de Talento fellowship no. 2020-T1/TIC19882 and STFC for the AGP Grant ST/V000594/1. He further acknowledges the Ministerio de Ciencia e Innovación (Spain) for financial support under Project grant PID2021-122603NB-C21, ERC: HORIZON-TMA-MSCA-SE for supporting the LACEGAL-III (Latin American Chinese European Galaxy Formation Network) project with grant number 101086388 and the science research grants from the China Manned Space Project.
