Results 71 to 80 of about 432,304 (191)
Predicting Stellar Parameters of Massive Stars from Light Curves with Machine Learning
The Astrophysical JournalHigh-resolution spectroscopic measurements of OB stars are important for understanding processes like stellar evolution but require labor-intensive observations.
Rachel C. Zhang +3 more
doaj +1 more source
Search for Kink Events in Variable Fermi-LAT Blazars
The Astrophysical JournalThis study explores the detection of quasiperiodic oscillations (QPOs) in blazars as a method to identify kink events within their jets, utilizing both γ -ray and polarized light observations. Focusing on a sample of nine blazars, we analyze γ -ray light
P. Peñil +12 more
doaj +1 more source
Xeff analysis method optimization to enhance IACTs performances
, 2015 The seek of high precision analyses in $\gamma$-ray astronomy leads to the implementation of multivariate combination, benefiting from several reconstruction methods. Such analysis, called $X_{eff}$, was developed for the H.E.S.S. data using three shower
Fiasson, A. +3 more
core +1 more source
Operational Solar Flare Forecasting System Using an Explainable Large Language Model
Space WeatherThis study focuses on forecasting major (≥M‐class) solar flares that can severely impact the near‐Earth environment. We construct two types of data sets using the Space Weather HMI Active Region Patches (SHARP), and develop a flare prediction network ...
Xuebao Li +16 more
doaj +1 more source
Data reduction and analysis report for the radio astronomy experiment aboard the OGO-2 spacecraft [PDF]
Data reduction and analysis report for radio astronomy experiment aboard OGO-C ...
core +1 more source
The Astrophysical Journal Supplement SeriesThis 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 +7 more
doaj +1 more source
Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data
The Astrophysical Journal Supplement SeriesGalaxy 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 +6 more
doaj +1 more source
, 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. +11 more
core
The Astrophysical JournalSearches 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 +3 more
doaj +1 more source
Low frequency radio astronomy instrumentation, analysis, modelling and data publication
, 2022 Low frequency radio emissions (
openaire +1 more source