Results 111 to 120 of about 431,604 (288)

Cross-survey Image Transformation: Enhancing SDSS and DECaLS Images to Near-HSC Quality for Advanced Astronomical Analysis

The Astrophysical Journal Supplement Series
This study focuses on transforming galaxy images between astronomical surveys, specifically enhancing images from the Sloan Digital Sky Survey (SDSS) and the Dark Energy Camera Legacy Survey (DECaLS) to achieve quality comparable to the Hyper Suprime-Cam
Zhijian Luo, Shaohua Zhang, Jianzhen Chen, Zhu Chen, Liping Fu, Hubing Xiao, Wei Du, Chenggang Shu   +7 more
doaj   +1 more source

How Halide Segregation Governs the Ion Density Evolution and Ionic Performance Losses: From Degradation to Recovery

Advanced Energy Materials, EarlyView.
Halide segregation (HS) in mixed‐halide wide‐bandgap (WBG) perovskites is key to the stability of perovskite‐based tandem cells and a central focus of large‐scale research efforts. Here, we find that the underlying reason for the poor stability of cells prone to HS is enhanced ionic losses during operation. Furthermore, we identified irreversible ionic
Nikhil Kalasariya, Paria Forozi Sowmeeh, Francisco Pena‐Camargo, Francesco Vanin, Tino Lukas, Yuxin Dong, Qifan Feng, Ziwei Liu, Waqar Ali Memon, Danpeng Gao, Jianqiu Gong, Xin Wu, Andres Felipe Castro Mendez, Jan Hagenberg, Zahra Abadi, Thomas Hultzsch, Xinyi Zhao, Sahil Shah, Hui Yu, Varun Srivastava, Jianbin Xu, Ni Zhao, Felix Lang, Zonglong Zhu, Martin Stolterfoht   +24 more
wiley   +1 more source

Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data

The Astrophysical Journal Supplement Series
Galaxy morphology classification plays a crucial role in understanding the structure and evolution of the Universe. With galaxy observation data growing exponentially, machine learning has become a core technology for this classification task.
Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao, Chenggang Shu   +6 more
doaj   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

Advanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender, Marco Corrias, Cesare Franchini   +2 more
wiley   +1 more source

The Role of Chemistry Across Disciplines From Humanities to Life Sciences in Understanding Complexity and Emergence

Angewandte Chemie, EarlyView.
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe, Josef Wachtveitl, Alexander Heckel, Florian Buhr, Sabrina Toews, Thomas M. Schimmer   +5 more
wiley   +2 more sources

Analyzing One- and Two-bit Data to Reduce Memory Requirements for -statistic-based Gravitational Wave Searches

The Astrophysical Journal
Searches for continuous-wave gravitational radiation in data collected by modern long-baseline interferometers, such as the Laser Interferometer Gravitational-wave Observatory (LIGO), the Virgo interferometer, and the Kamioka Gravitational Wave Detector,
P. Clearwater, A. Melatos, S. Nepal, M. Bailes   +3 more
doaj   +1 more source

Astrophysics datamining in the classroom: Exploring real data with new software tools and robotic telescopes

, 2012
Within the efforts to bring frontline interactive astrophysics and astronomy to the classroom, the Hands on Universe (HOU) developed a set of exercises and platform using real data obtained by some of the most advanced ground and space observatories. The
Almeida, Maria L. T., Barbosa, Domingos, Boudier, Thomas, Delva, Doran, Rosa, Ferlet, Roger, Gomez, Edward, Melchior, Anne-Laure, Pacôme, Pennypacker, Carl, Roberts, Sarah, Roche, Paul   +11 more
core  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Visualizing and Quantifying microRNA‐Induced DNA Origami Separation at the Nanoscale

Angewandte Chemie, EarlyView.
Clinically relevant miRNA biomarkers trigger the disassembly of DNA origami dimers into monomers through a toehold‐mediated strand displacement reaction. High‐speed AFM was used to visualize this reaction in real time, while solid‐state nanopore measurements quantified the populations of dimers and monomers, as well as the resulting miRNA concentration,
Chalmers C. C. Chau, Varun Gupta, George R. Heath, Christoph Wälti, Paolo Actis   +4 more
wiley   +2 more sources

Contour Analysis Tool: An Interactive Tool for Background and Morphology Analysis

The Astrophysical Journal
We introduce the Contour Analysis Tool (CAT), a Python toolkit aimed at identifying and analyzing structural elements in density maps. CAT employs various contouring techniques, including the lowest-closed contour, linear and logarithmic Otsu ...
Mark A. Hutchison, Christine M. Koepferl
doaj   +1 more source