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Peng Jia

4 papers hereh-index 571 citations16 works total

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

author position
  • first author1
  • middle author2
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM4
same name
  • Peng Jia — 10 papers, h 3
  • Peng Jia — 9 papers, h 6
  • Peng Jia — 8 papers, h 6
  • Peng Jia — 8 papers, h 3
  • Peng Jia — 4 papers, h 1
  • Peng Jia — 3 papers, h 9

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
20232025
collaborators

4 papers

astro-ph.IM2025

An Ultra-Fast Image Simulation Technique with Spatially Variable Point Spread Functions

Zeyu Bai, Peng Jia, Jiameng Lv +3

Simulated images are essential in algorithm development and instrument testing for optical telescopes. During real observations, images obtained by optical telescopes are affected…

astro-ph.IM2024

CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)

Xu Li, Ruiqi Sun, Jiameng Lv +29

Strong gravitational lensing is a powerful tool for investigating dark matter and dark energy properties. With the advent of large-scale sky surveys, we can discover strong lensing…

astro-ph.IM2024

A Data-Driven Approach for Mitigating Dark Current Noise and Bad Pixels in Complementary Metal Oxide Semiconductor Cameras for Space-based Telescopes

Peng Jia, Chao Lv, Yushan Li +3

In recent years, there has been a gradual increase in the performance of Complementary Metal Oxide Semiconductor (CMOS) cameras. These cameras have gained popularity as a viable al…

astro-ph.IM2023

AI Techniques for Uncovering Resolved Planetary Nebula Candidates from Wide-field VPHAS+ Survey Data

Ruiqi Sun, Yushan Li, Quentin Parker +4

AI and deep learning techniques are beginning to play an increasing role in astronomy as a necessary tool to deal with the data avalanche. Here we describe an application for findi…

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