基本信息
浏览量:10
职业迁徙
个人简介
My research focuses on the properties of the lowest mass stars and coldest brown dwarfs, particularly L dwarfs and T dwarfs and ultracool halo subdwarfs. I use observational techniques to infer the physical properties of cool stars, examine magnetic activity trends, search for multiples, and measure population statistics. My work incorporates many observational tools, including optical and infrared spectroscopy, high resolution imaging (including traditional and laser guide star adaptive optics), radio astronomy, space-based (HST & Spitzer) imaging, and photometric monitoring.
研究兴趣
论文共 594 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Michele Scalco,Roman Gerasimov,Luigi R. Bedin,Enrico Vesperini,Domenico Nardiello, Maurizio Salaris,Adam Burgasser,Jay Anderson,Mattia Libralato,Andrea Bellini, Piero Rosati
Astronomische Nachrichten (2024)
Chih-Chun Hsu,Adam J. Burgasser, Christopher A. Theissen,Jessica L. Birky,Christian Aganze,Roman Gerasimov,Sarah J. Schmidt,Cullen H. Blake,Kevin R. Covey, Elizabeth Moreno-Hilario, Christopher R. Gelino,Javier Serna,
arxiv(2024)
引用0浏览0引用
0
0
Austin Rothermich,Jacqueline K. Faherty, Daniella Bardalez-Gagliuffi,Adam C. Schneider,J. Davy Kirkpatrick,Aaron M. Meisner,Adam J. Burgasser, Marc Kuchner,Katelyn Allers,Jonathan Gagné,Dan Caselden,Emily Calamari,
arxiv(2024)
引用0浏览0引用
0
0
J. Davy Kirkpatrick,Federico Marocco, Christopher R. Gelino, Yadukrishna Raghu,Jacqueline K. Faherty,Daniella C. Bardalez Gagliuffi,Steven D. Schurr, Kevin Apps,Adam C. Schneider,Aaron M. Meisner,Marc J. Kuchner,Dan Caselden,
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYno. 1 (2024): 35-52
Federico Marocco,J. Davy Kirkpatrick,Adam C. Schneider,Aaron M. Meisner,Mark Popinchalk, Christopher R. Gelino,Jacqueline K. Faherty,Adam J. Burgasser,Dan Caselden,Jonathan Gagné,Christian Aganze, Daniella C. Bardalez-Gagliuffi,
arxiv(2024)
引用0浏览0引用
0
0
ASTROPHYSICAL JOURNALno. 2 (2024): 177
ASTROPHYSICAL JOURNALno. 2 (2024): 151
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn