arXiv Machine Learning
Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
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arXiv AI
Aug 24
Amplifying the imaging power of digital sky surveys with space telescopes data and generative AI
The paper presents a generative AI approach that enhances galaxy images from ground‑based sky surveys to match the detail level of space‑based telescopes. By training on space‑based data, the model converts weak signals into clear, detailed galaxy images, enabling the combination of high survey throughput with superior image quality. The authors provide source code, training data, a catalog of 63,202 enhanced galaxy images, and a software tool that encapsulates the entire pipeline.
Hugging Face Trending Papers
Jul 13
Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising
Raw images inherently suffer from noise due to the stochastic nature of light and sensor hardware imperfections. As real photon counts fall, the ratio of this noise to the signal degrades; consequently, for low-light conditions, robust denoising is especially vital for high-quality results.
arXiv Machine Learning
Jun 9
Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
arXiv:2604. 09787v2 Announce Type: replace-cross Abstract: Data collected from the physical world is always a combination of multiple sources: an underlying signal from the physical process of interest and a signal from measurement-dependent artifacts from the sensor or instrument.
arXiv Machine Learning
Aug 3
A Fully Convolutional Approach to Denoising 2D Correlation Spectra
arXiv:2605. 29975v2 Announce Type: replace Abstract: We present a fully convolutional denoising autoencoder (FC-DAE) tailored for two-dimensional representations of dynamic correlations that is applicable to many experimental techniques.
arXiv Machine Learning
Jun 24
Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks
arXiv:2602. 10330v3 Announce Type: replace-cross Abstract: Context: The characterization of exoplanetary atmospheres has been transformed by the James Webb Space Telescope (JWST), whose infrared sensitivity enables transmission spectroscopy at unprecedented precision.
arXiv AI
Jun 10
Integral Field Unit Spectroscopy with One Fiber
arXiv:2606. 10197v1 Announce Type: cross Abstract: Integral field unit (IFU) spectroscopy provides spatially resolved spectra across galaxies, offering crucial insights into their evolution.