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researcher

S. Cha

212 papers hereh-index 263k citations303 works total

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

author position
  • first author2
  • middle author147
  • last author3

Across the 152 of 212 papers where every author was matched, so the position is known.

fields
  • astro-ph.EP141
  • astro-ph.SR43
  • astro-ph.GA14
  • astro-ph.IM7
  • astro-ph.CO3
  • astro-ph2
same name
  • S. Cha — 20 papers, h 5
  • S. Cha — 12 papers, h 14
  • S. Cha — 7 papers, h 7
  • S. Cha — 5 papers, h 2
  • S. Cha — 4 papers, h 3
  • S. Cha — 3 papers, h 49

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
20082026
most citedKorea Microlensing Telescope Network Microlensing Events from 2015: Event-Finding Algorithm, Vetting, and Photometry

147 citations · 3.2k across the 202 of their papers we have counts for

collaborators
Showing astro-ph.COShow all

3 papers · 1 filter

astro-ph.CO2022★ 24 cited

Weak-lensing mass bias in merging galaxy clusters

Wonki Lee, Sangjun Cha, M. James Jee +6

Although weak lensing (WL) is a powerful method to estimate a galaxy cluster mass without any dynamical assumptions, a model bias can arise when the cluster density profile departs…

astro-ph.CO2022★ 22 cited

MARS: A New Maximum Entropy-Regularized Strong Lensing Mass Reconstruction Method

Sangjun Cha, M. James Jee

Free-form strong-lensing (SL) mass reconstructions typically suffer from overfitting, which manifest itself as false-positive small-scale fluctuations. We present a new free-form M…

astro-ph.CO2021★ 10 cited

Weak-lensing Mass Reconstruction of Galaxy Clusters with Convolutional Neural Network

Sungwook E. Hong, Sangnam Park, M. James Jee +2

We introduce a novel method for reconstructing the projected matter distributions of galaxy clusters with weak-lensing (WL) data based on convolutional neural network (CNN). Traini…

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