L
L. Xiao
Researcher at University of Auckland
Publications - 16
Citations - 1416
L. Xiao is an academic researcher from University of Auckland. The author has contributed to research in topics: Supernova & Population. The author has an hindex of 10, co-authored 15 publications receiving 1171 citations. Previous affiliations of L. Xiao include University of Science and Technology of China.
Papers
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Journal ArticleDOI
Binary Population and Spectral Synthesis Version 2.1: construction, observational verification and new results
John J. Eldridge,Elizabeth R. Stanway,L. Xiao,L. A. S. McClelland,G. Taylor,M. Ng,Stephanie M. L. Greis,J. C. Bray +7 more
TL;DR: The Binary Population and Spectral Synthesis suite of binary stellar evolution models and synthetic stellar populations provides a framework for the physically motivated analysis of both the integrated light from distant stellar populations and the detailed properties of those nearby as discussed by the authors.
Journal ArticleDOI
Binary Population and Spectral Synthesis Version 2.1: construction, observational verification and new results
John J. Eldridge,Elizabeth R. Stanway,L. Xiao,L. A. S. McClelland,G. Taylor,M. Ng,Stephanie M. L. Greis,J. C. Bray +7 more
TL;DR: The Binary Population and Spectral Synthesis (BPASS) suite of binary stellar evolution models and synthetic stellar populations provides a framework for the physically motivated analysis of both the integrated light from distant stellar populations and the detailed properties of those nearby as mentioned in this paper.
Journal ArticleDOI
Emission-line diagnostics of nearby H ii regions including interacting binary populations
TL;DR: In this paper, numerical models of the nebular emission from H II regions around young stellar populations over a range of compositions and ages were presented, including single stars and interacting binary stars, using the combination of the Binary Population and Spectral Synthesis (bpass) code with the photoionization code.
Journal ArticleDOI
Spatially Resolved MaNGA Observations of the Host Galaxy of Superluminous Supernova 2017egm
Ting-Wan Chen,Patricia Schady,L. Xiao,John J. Eldridge,Tassilo Schweyer,Chien-Hsiu Lee,Po-Chieh Yu,Stephen J. Smartt,Cosimo Inserra +8 more
TL;DR: In this paper, a detailed analysis of the nearby environment of SN 2017egm using MaNGA IFU data is presented, which provides spectral data on kiloparsec scales.