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Sihan Yuan

Researcher at Smithsonian Institution

Publications -  27
Citations -  336

Sihan Yuan is an academic researcher from Smithsonian Institution. The author has contributed to research in topics: Galaxy & Dark matter. The author has an hindex of 7, co-authored 12 publications receiving 200 citations. Previous affiliations of Sihan Yuan include Stanford University & Harvard University.

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The DESI One-Percent survey: exploring the Halo Occupation Distribution of Emission Line Galaxies with AbacusSummit simulations

TL;DR: The One Percent survey of the Dark Energy Spectroscopic Instrument collected ~ 270k emission line galaxies (ELGs) at 0.8
Journal ArticleDOI

2D k-th nearest neighbor statistics: a highly informative probe of galaxy clustering

TL;DR: In this paper , 2D k-th nearest neighbor (kNN) statistics are introduced as a summary statistic for discrete galaxy fields, which is a direct generalization of the standard 1D kNN by disentangling the projected galaxy distribution from the redshift-space distortion signature along the line-of-sight.
Journal ArticleDOI

Real-Time Moving Blind Source Extraction Based on Constant Separating Vector and Auxiliary Function Technique

TL;DR: In this paper , the authors proposed an online algorithm for moving blind source extraction (BSE) based on the recently proposed constant separating vector mixing model with batch auxiliary-function-based independent vector extraction (CSV-AuxIVE).
Posted Content

AbacusHOD: A highly efficient extended multi-tracer HOD framework and its application to BOSS and eBOSS data

TL;DR: AbacusHOD as mentioned in this paper is an HOD framework written in Python that is particle-based, multi-tracer, highly generalized, and highly efficient for next generation large-scale structure surveys.