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

