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researcher

K. Chan

8 papers hereh-index 461 citations8 works total

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

author position
  • first author3
  • middle author5

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • astro-ph.CO8
same name
  • K. Chan — 164 papers, h 87
  • K. Chan — 37 papers, h 17
  • K. Chan — 27 papers, h 18
  • K. Chan — 18 papers
  • K. Chan — 17 papers, h 13
  • K. Chan — 14 papers, h 7

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
20142025
most citedLarge-Scale Clustering of Cosmic Voids

84 citations · 103 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

astro-ph.CO2024

2D watershed void clustering for probing the cosmic large-scale structure

Yingxiao Song, Yan Gong, Qi Xiong +5

Cosmic void has been proven to be an effective cosmological probe of the large-scale structure (LSS). However, since voids are usually identified in spectroscopic galaxy surveys, t…

astro-ph.CO2024

Void Number Counts as a Cosmological Probe for the Large-Scale Structure

Yingxiao Song, Qi Xiong, Yan Gong +6

Void number counts (VNC) indicates the number of low-density regions in the large-scale structure (LSS) of the Universe, and we propose to use it as an effective cosmological probe…

astro-ph.CO2024

Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey

Yingxiao Song, Qi Xiong, Yan Gong +10

The void power spectrum is related to the clustering of low-density regions in the large-scale structure (LSS) of the Universe, and can be used as an effective cosmological probe t…

astro-ph.CO2024

Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey

Yingxiao Song, Qi Xiong, Yan Gong +11

Void size function (VSF) contains information of the cosmic large-scale structure (LSS), and can be used to derive the properties of dark energy and dark matter. We predict the VSF…

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