OpenAlex ·
Identification of gravitational lenses obscured by foreground light in the KiDS dataset using U-Nets and ResNets
- Published
- Source
- OpenAlex
- DOI
- 10.48550/arxiv.2609.21660
- Original
- Read it at the publisher
- Topics
Abstract
*Context.* Many lensing images are often obscured by foreground light from the central galaxies, making them challenging to detect. *Aims.* To address the limitations of previous lens search efforts, particularly for samples with smaller $R_E$ or faint lensed images, we developed a composite convolutional neural network framework that utilizes both U-Net and ResNet architectures for feature extraction and classification. *Methods.* We propose a hybrid search method that combines U-Net and ResNet architectures to enhance the detection of foreground galaxy-obscured lenses. Our approach consists of two main stages: first, the U-Net model separates the foreground galaxy light from potential lensing signals, creating residual images that highlight the lensing features. Next, the ResNet module performs binary classification on these residual images to detect lensing signals. *Results.* We evaluated the hybrid search method with real observational data to demonstrate its effectiveness, achieving a recall of 71.5% and a 4.5% false positive rate at a confidence threshold of 0.6. Applying this method to over 638,398 galaxy samples from the Kilo-Degree Survey Data Release 4 and conducting thorough inspections, we identify 88 Class A, 322 Class B, and 1,758 Class C candidates. *Conclusions.* This hybrid approach significantly enhances the completeness of existing strong gravitational lensing searches and shows great potential for improving future astronomical surveys.
The authors’ abstract, as arXiv lists it. arXiv’s listings, abstracts included, are free for anyone to reuse.
Read it on ReadSearch
Each opens after you create an account, and brings you back to this paper.
More in Computer Vision
Singularity models for the Bernoulli free boundary problem from isoparametric hypersurfaces
Nonlinearly Causal General-Relativistic Two-Fluid Dissipative Magnetohydrodynamics
Energy extraction from a Kerr-Bardeen-Letelier black hole by Comisso-Asenjo Mechanism
Schwinger stability of T-duality-inspired extremal black holes
Kerr stability in the full subextremal range
Get the few papers worth your time in Computer Vision every morning.
ReadSearch reads the new papers in your field each day and brings you the few worth reading, each with its key finding in a sentence.