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 .


Weiguang Cui gratefully thanks Comunidad de Madrid and STFC for their financial supports. He further acknowledges the supports from HORIZON-TMA-MSCA-SE HORIZON TMA MSCA Staff Exchanges and Ministerio de Ciencia e Innovación (Spain)
Comunidad de Madrid STFC MCI ERC-MSCA