A Geometric Approach to Estimate Background in Astronomical Images
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping and median or mode estimation often fail to ca...
Saved in:
Main Authors: | Pushpak Pandey, Kanak Saha |
---|---|
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2025-01-01
|
Series: | The Astrophysical Journal Supplement Series |
Subjects: | |
Online Access: | https://doi.org/10.3847/1538-4365/ad9906 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. II. Hypothesis Testing of Nested Model Components for Poisson Data
by: Massimiliano Bonamente, et al.
Published: (2025-01-01) -
Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
by: Duo Xu, et al.
Published: (2025-01-01) -
High-energy Neutrino Source Cross-correlations with Nearest-neighbor Distributions
by: Zhuoyang Zhou, et al.
Published: (2025-01-01) -
TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations
by: Tomasz Różański, et al.
Published: (2025-01-01) -
A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs
by: Jiangchuan Zhang, et al.
Published: (2025-01-01)