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Chang-Hwan Lee

3 papers hereh-index 4171 citations9 works total

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

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • gr-qc2
  • astro-ph.IM1
same name
  • Chang-Hwan Lee — 56 papers, h 21
  • Chang-Hwan Lee — 9 papers, h 2
  • Chang-Hwan Lee — 6 papers, h 4
  • Chang-Hwan Lee — 2 papers, h 2
  • Chang-Hwan Lee — 2 papers, h 0
  • Chang-Hwan Lee — 1 paper, h 1

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

most citedParameter Estimation of Gravitational Waves from Precessing BH-NS Inspirals with higher harmonics

54 citations · 97 across the 2 of their papers we have counts for

collaborators

3 papers

gr-qc2014★ 54 cited

Parameter Estimation of Gravitational Waves from Precessing BH-NS Inspirals with higher harmonics

R. O'Shaughnessy, B. Farr, E. Ochsner +4

Precessing black hole-neutron star (BH-NS) binaries produce a rich gravitational wave signal, encoding the binary's nature and inspiral kinematics. Using the lalinference\_mcmc Mar…

gr-qc2013★ 43 cited

Parameter Estimation of Gravitational Waves from Nonprecessing BH-NS Inspirals with higher harmonics: Comparing MCMC posteriors to an Effective Fisher Matrix

R. O'Shaughnessy, B. Farr, E. Ochsner +3

Using the \texttt{lalinference} Markov-chain Monte Carlo parameter estimation code, we examine two distinct nonprecessing black hole-neutron star (BH-NS) binaries with and without…

astro-ph.IM2013

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Rahul Biswas, Lindy Blackburn, Junwei Cao +13

The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a hig…

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