Results 91 to 100 of about 11,014 (187)

Addressing Distribution Discrepancies in Pulsar Candidate Identification via Bayesian-neural-network-based Multimodal Incremental Learning

The Astrophysical Journal Supplement Series
With the advancement of astronomical observation technology and the substantial increase in data volume, traditional methods for pulsar identification are increasingly challenged by the dynamic nature of data distributions.
Yi Liu, Jing Jin, Hongyang Zhao, Zhenyi Wang, Yi Shen   +4 more
doaj   +1 more source

A Genetic-algorithm-driven Convolutional Neural Network with Multimodal Fusion for Pulsar Candidate Identification

The Astronomical Journal
The field of pulsar candidate identification still faces the challenge of algorithm generalization, as a single model often fails to adapt to datasets with diverse sources and characteristics.
Yining Song, Nannan Zhai, Jun Li, Zhiyong Liu, Maozheng Chen   +4 more
doaj   +1 more source

Gaussian Process Models Impact the Inferred Properties of Giant Planets around Active Stars

The Astronomical Journal
The recent development of statistical methods that can distinguish between stellar activity and dynamical signals in radial velocity (RV) observations has facilitated the discovery and characterization of planets orbiting young stars. One such technique,
Quang H. Tran, Brendan P. Bowler
doaj   +1 more source

Advancing Gravitational Wave Astronomy: Novel Methodologies for Data Analysis and Waveform Modelling of Nanohertz and Millihertz Signals

Gravitational wave astronomy has reshaped our understanding of the cosmos. As we look towards the future launch of LISA, a space-based gravitational wave detector, and analyze recent evidence of a nanohertz gravitational wave background from Pulsar Timing Array (PTA) experiments, new opportunities and challenges emerge.
openaire   +2 more sources

Integrating Exploratory Data Analysis and Explainable AI into Astronomy Education: A Fuzzy Approach to Data-Literate Learning

Education Sciences
Astronomy provides an exceptional context for developing data literacy, critical thinking, and computational skills in education. This paper presents a project-based learning (PBL) framework that integrates exploratory data analysis (EDA), fuzzy logic ...
Gabriel Marín Díaz
doaj   +1 more source

Modeling the History of Astronomy: Ptolemy, Copernicus, and Tycho [PDF]

, 2013
This paper describes a series of activities in which students investigate and use the Ptolemaic, Copernican, and Tychonic models of planetary motion. The activities guide students through using open source software to discover important observational ...
Timberlake, Todd K.
core  

Stellar Occultations in the Era of Data Mining and Modern Regression Models: Using Gaussian Processes to Analyze Light Curves and Improve Predictions

The Planetary Science Journal
Gaussian process (GP) regression is a nonparametric Bayesian approach that has been used successfully in various astronomical domains, especially in time-domain astronomy.
Bastian Knieling, Karsten Schindler, Amanda A. Sickafoose, Michael J. Person, Stephen E. Levine, Alfred Krabbe   +5 more
doaj   +1 more source

Modeling of propagation in the neutral atmosphere for radio astronomy data analysis: a paradigm shift [PDF]

Proceedings of 12th European VLBI Network Symposium and Users Meeting — PoS(EVN 2014), 2015
openaire   +1 more source

The Two-zone Temperature Distribution Model: Inferences on the Structure and Composition of Dusty Protoplanetary Disks

The Astrophysical Journal
In order to understand the mineralogy and structure of protoplanetary disks, it is important to analyze them from both an empirical spectrum-based perspective and a radiative transfer image-based perspective.
William Grimble, Joel Kastner, B. Sargent, Keivan G. Stassun   +3 more
doaj   +1 more source

Inferring the Density and Membership of Stellar Streams with Flexible Models: The GD-1 Stream in Gaia Data Release 3

The Astrophysical Journal
Stellar streams provide one of the most promising avenues for constraining the global mass distribution of the Milky Way and the nature of dark matter (DM).
Kiyan Tavangar, Adrian M. Price-Whelan
doaj   +1 more source