Results 71 to 80 of about 107,385 (182)

The Role of Provenance Management in Accelerating the Rate of Astronomical Research [PDF]

, 2010
The availability of vast quantities of data through electronic archives has transformed astronomical research. It has also enabled the creation of new products, models and simulations, often from distributed input data and models, that are themselves ...
Berriman, G. Bruce, Deelman, Ewa
core   +2 more sources

The Hubble Image Similarity Project

The Astronomical Journal
We have created a large database of similarity information between subregions of Hubble Space Telescope images. These data can be used to assess the accuracy of image-search algorithms based on computer vision methods.
Richard L. White, J. E. G. Peek
doaj   +1 more source

Background Intensity Estimation for Cassini–ISS Image Using Deep-learning-based Diffusion Model

The Astronomical Journal
Accurate background intensity estimation is crucial for precise astrometric measurements in astronomical imaging, particularly in complex scenarios such as those encountered in Cassini Imaging Science Subsystem (ISS) observations of Saturn’s ring system.
Yongxin Chen, Qingfeng Zhang, Tianle Zhou, Kai Tang   +3 more
doaj   +1 more source

FlareCast: A Solar Flare Forecasting System Utilizing Deep Bayesian Neural Networks and the Concept of Machine Learning Operations

The Astrophysical Journal Supplement Series
In this paper, we present FlareCast, a novel solar flare forecasting system developed under the framework of machine learning operations (MLOps) and made available as an online service to the community.
Jiameng Lv, Peng Jia, Yiwei Shi, Yu Song, Feng Chen, Yang Guo, Tie Liu, Kaifan Ji, Zhenyu Jin, Jiaben Lin, Qi Hao, Yang Wang, Shupei Chen   +12 more
doaj   +1 more source

A Multibranch Deep Neural Network for the Superresolution of Solar Magnetograms

The Astrophysical Journal Supplement Series
The existing superresolution (SR) models for solar magnetograms are mostly borrowed from the SR models for natural images. They are less effective for processing solar magnetograms with a very large dynamic range and very rich image features.
Fengping Dou, Long Xu, Dong Zhao, Zhixiang Ren   +3 more
doaj   +1 more source

Capturing Star Formation Activity from Compressed Photometric Images of Galaxies

The Astrophysical Journal
We present a novel approach for classifying star-forming galaxies using photometric images. By utilizing approximately 124,000 optical color composite images and spectroscopic data of nearby galaxies at 0.01 
Kyuseok Oh, M. Dennis Turp
doaj   +1 more source

easyspec: An Open-source Python Package for Long-slit Spectroscopy

The Astronomical Journal
In modern-day astronomy, near-infrared, optical, and ultraviolet spectroscopy are indispensable for studying a wide range of phenomena, from measuring black hole masses to analyzing chemical abundances in stellar atmospheres.
Raniere de Menezes, Francesco Massaro, Michela Negro, Claudia M. Raiteri, Harold Peña-Herazo, Jose A. Acosta-Pulido   +5 more
doaj   +1 more source

Identifying Dust-lane Spheroidal Galaxies in DESI Legacy Imaging Surveys Using Semisupervised Methods

The Astrophysical Journal Supplement Series
Dust-lane spheroidal galaxies (DLSGs) are unique astrophysical systems that exhibit the morphology of early-type galaxies (ETGs) but are distinguished by prominent dust lanes.
Zhijian Luo, Jianzhen Chen, Wenxiang Pei, Hubing Xiao, Shaohua Zhang, Qifan Cui, Chenggang Shu   +6 more
doaj   +1 more source

Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning

The Astrophysical Journal Supplement Series
The ring structures of disk galaxies are vital for understanding galaxy evolution and dynamics. However, due to the scarcity of ringed galaxies and challenges in their identification, traditional methods often struggle to efficiently obtain statistically
Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu   +5 more
doaj   +1 more source