刘煜
研究员
博士生导师
硕士生导师
个人信息Personal Information
学历:博士研究生毕业
学位:理学博士学位
性别:男
在职信息:在岗
主要任职:天体物理中心负责人
其他任职:实测天体物理团队负责人
毕业院校:中国科学院研究生院(现国科大)
学科:天体物理. 空间物理学. 等离子体物理
所在单位:物理科学与技术学院
报考该导师研究生的方式
欢迎你报考刘煜老师的研究生,报考有以下方式:
1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择刘煜老师,你的所有申请信息将发送给刘煜老师,老师看到后将和你取得联系,点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请刘煜老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为刘煜老师,老师看到信息后将和你取得联系,点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考刘煜老师招收的专业和方向,进入复试后提交导师意向时选择刘煜老师。
4、如果你有兴趣攻读刘煜老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。
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- [Title] Investigating the Behavior and Spatiotemporal Variations of Green-line Emission in the Solar Corona,J.,Oloketuyi.The Astrophysical Journal Supplement,2024,275:21
- [Title] A portable S-DIMM developed for preliminary measurement of seeing for Solar Site Survey: Theory and one case study,X.,Duan.New Astronomy,2024,109:7
- [Title] Temporal Behavior and Latitudinal Relationships between Key Solar Parameters and Green Line Emissions in the Solar Corona,J.,Oloketuyi.The Astrophysical Journal Letters,2025,984:11
- [Title] The Formation of a Multifilament System Driven by Photospheric Converging Motions in a Bipolar Sunspot,H.T.,Li.The Astrophysical Journal Letters,2025,979:9
- [Title] Mapping Ground-based Coronagraphic Images to Helioprojective-Cartesian Coordinate System by Image Registration,F.Y.,Sha.The Astrophysical Journal,2025,990:10
- [Title] A Preliminary Measurement of the Sky Brightness at the Namco Lake of Tibet During 2013,Q.,Liu.Research in Astronomy and Astrophysics,2025,25:10
- [Title] Atmospheric turbulence parameters characterization and seeing forecasting at the Daocheng site using ERA5 reanalysis data,Q.,Zhou.Monthly Notices of the Royal Astronomical Society,2025,545:14
- [Title] Two-stage primary acceleration in filament initial eruption under a fan-spine magnetic configuration,H.T.,Li.The Astrophysical Journal,2025
- [Title] Estimation of Day-Time Seeing Changes at Huairou Solar Observing Station Based on Neural Networks from 1989 to 2010,Xing.,Hu.Universe,2025,169:15
- [Title] Gamma-Ray Bursts Calibrated by Using Artificial Neural Networks from the Pantheon+ Sample,Z.,Huan.Universe,2025,11:13

