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researcher

Yi-Ming Hu

15 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 15 papers where every author was matched, so the position is known.

fields
  • gr-qc8
  • astro-ph.HE3
  • astro-ph.IM3
  • hep-ex1
ORCID 0000-0002-7869-0174
same name
  • Yi-Ming Hu — 51 papers, h 14
  • Yi-ming Hu — 22 papers, h 18
  • Yi-Ming Hu — 4 papers, h 11
  • Yi-Ming Hu — 3 papers, h 1
  • Yi-Ming Hu — 2 papers, h 3
  • Yi-Ming Hu — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142018
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations · 16.3k across the 15 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

3 papers · 1 filter

astro-ph.IM2016★ 1.2k cited

Exploring the Sensitivity of Next Generation Gravitational Wave Detectors

B. P. Abbott, R. Abbott, T. D. Abbott +720

The second-generation of gravitational-wave detectors are just starting operation, and have already yielding their first detections. Research is now concentrated on how to maximize…

astro-ph.IM2014★ 50 cited

Narrow-band search of continuous gravitational-wave signals from Crab and Vela pulsars in Virgo VSR4 data

The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +894

In this paper we present the results of a coherent narrow-band search for continuous gravitational-wave signals from the Crab and Vela pulsars conducted on Virgo VSR4 data. In orde…

astro-ph.IM2014★ 2 cited

Efficient Exploration of Multi-Modal Posterior Distributions

Yi-Ming Hu, Martin Hendry, Ik Siong Heng

The Markov Chain Monte Carlo (MCMC) algorithm is a widely recognised as an efficient method for sampling a specified posterior distribution. However, when the posterior is multi-mo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.