Results 11 to 20 of about 29,580 (166)

Identification of Gamma-Ray Point Sources in Fermi-LAT Data with Minimum Spanning Tree Algorithm [PDF]

open access: yesIranian Journal of Astronomy and Astrophysics, 2023
Gamma rays are the most energetic photons in the electromagnetic spectrum, detected with ground-based and space-based detectors in different energy ranges from sources in our galaxy and beyond.
Mehran Soor   +2 more
doaj   +1 more source

Using Contour Trees in the Analysis and Visualization of Radio Astronomy Data Cubes [PDF]

open access: yes, 2021
The current generation of radio and millimeter telescopes, particularly the Atacama Large Millimeter Array (ALMA), offers enormous advances in observing capabilities. While these advances represent an unprecedented opportunity to facilitate scientific understanding, the increased complexity in the spatial and spectral structure of these ALMA data cubes
Paul Rosen 0001   +7 more
openaire   +2 more sources

Research Data in Astronomy: Assessing its Impact and Visibility through a Bibliometric Analysis [PDF]

open access: yesBulletin of the AAS, 2022
In the context of the Open Access and Open Science initiatives, Research Data Management becomes relevant and of current interest to researchers, libraries and institutions that contribute to the development of scientific knowledge. Particularly in Astronomy, it is a challenge to convert, standardize, process and arrange large volumes of information ...
Cortes-Rodriguez, Patricio   +2 more
openaire   +2 more sources

BatAnalysis: A Comprehensive Python Pipeline for Swift BAT Survey Analysis

open access: yesThe Astrophysical Journal, 2023
The Swift Burst Alert Telescope (BAT) is a coded-aperture gamma-ray instrument with a large field of view that primarily operates in survey mode when it is not triggering on transient events.
Tyler Parsotan   +6 more
doaj   +1 more source

An Application of Hilbert-Huang Transform on the Non-Stationary Astronomical Time Series: The Superorbital Modulation of SMC X-1 [PDF]

open access: yesJournal of Astronomy and Space Sciences, 2013
We present the Hilbert-Huang transform (HHT) analysis on the quasi-periodic modulation of SMC X-1. SMC X-1, consisting of a neutron star and a massive companion, exhibits superorbital modulation with a period varying between ~40 d and ~65 d. We applied
Chin-Ping Hu   +4 more
doaj   +1 more source

Pulsar-candidate Selection Using a Generative Adversarial Network and ResNeXt

open access: yesThe Astrophysical Journal Supplement Series, 2022
Pulsar research has been a hot topic in the area of astronomy since they were first discovered. Pulsar discovery is fundamental for pulsar research. While pulsars are now visible across the electromagnetic spectrum, pulsar searches with modern radio ...
Qian Yin   +4 more
doaj   +1 more source

Time Series Analysis Methods and Detectability Factors for Ground-Based Imaging of the LCROSS Impact Plume

open access: yesRemote Sensing, 2022
On 9 October 2009, multiple telescopes were used in a coordinated international observing campaign to acquire ground-based time series imaging to monitor the evolution of the impact plume from NASA’s Lunar CRater Observation and Sensing Satellite (LCROSS)
Paul D. Strycker   +5 more
doaj   +1 more source

Toward Machine-learning-based Metastudies: Applications to Cosmological Parameters

open access: yesThe Astrophysical Journal Supplement Series, 2023
We develop a new model for automatic extraction of reported measurement values from the astrophysical literature, utilizing modern natural language processing techniques.
Tom Crossland   +10 more
doaj   +1 more source

Analysis of Zeeman effect data in radio astronomy

open access: yesThe Astrophysical Journal Supplement Series, 1990
The analysis of Zeeman effect data in radio astronomy is discussed; in particular, previous techniques are extended to include the case of low signal-to-noise ratios. Three statistical techniques for estimating the line-of-sight magnetic field are considered: maximum likelihood, least-squares, and Wiener filters.
R. J. Sault   +3 more
openaire   +1 more source

Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy [PDF]

open access: yesIEEE Intelligent Systems, 2017
Astrophysics and cosmology are rich with data. The advent of wide-area digital cameras on large aperture telescopes has led to ever more ambitious surveys of the sky. Data volumes of entire surveys a decade ago can now be acquired in a single night and real-time analysis is often desired. Thus, modern astronomy requires big data know-how, in particular
Jan Kremer   +4 more
openaire   +4 more sources

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