Results 11 to 20 of about 141,058 (288)
Data mining techniques on astronomical spectra data – II. Classification analysis
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification techniques have been successfully applied to astronomical data processing.
Haifeng Yang +7 more
openaire +4 more sources
Data mining techniques on astronomical spectra data – I. Clustering analysis
Monthly Notices of the Royal Astronomical Society, 2022 ABSTRACT Clustering is an effective tool for astronomical spectral analysis, to mine clustering patterns among data. With the implementation of large sky surveys, many clustering methods have been applied to tackle spectroscopic and photometric data effectively and automatically.
Haifeng Yang +7 more
openaire +4 more sources
The Astrophysical Journal, 2022 In this work, we present polarization profiles for 23 millisecond pulsars observed at 820 and 1500 MHz with the Green Bank Telescope as part of the NANOGrav pulsar timing array.
H. M. Wahl +30 more
doaj +1 more source
A Review of AGB Mass Loss Imaging Techniques [PDF]
, 2009 Circumstellar imaging, across the electromagnetic spectrum, allows to derive fundamental diagnostics for the physics of mass loss in the AGB phase. I review the current status of the field, with particular emphasis on the techniques that provide the ...
Bontekoe +70 more
core +1 more source
A Method to Measure Photometries of Moderately Saturated UVOT Sources
The Astrophysical Journal Supplement Series, 2023 For bright transients such as gamma-ray bursts (GRBs), the Ultra-Violet/Optical Telescope (UVOT) operates under event mode at early phases, which records incident positions and the arrival time for each photon.
Hao Zhou +4 more
doaj +1 more source
Analyzing astronomical data with machine learning techniques
Astronomical and Astrophysical Transactions, 2022 Classification is a popular task in the field of machine learning (ML) and artificial intelligence (AI), and it happens when outputs are categorical variables. There are a wide variety of models that attempt to draw some conclusions from observed values, so classification algorithms predict categorical class labels for use in classifying new data ...
openaire +2 more sources
The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch [PDF]
, 2010 Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers.
McCollum, Bruce +2 more
core +4 more sources
Compressed sensing for radio interferometric imaging: review and future direction [PDF]
, 2011 Radio interferometry is a powerful technique for astronomical imaging. The theory of Compressed Sensing (CS) has been applied recently to the ill-posed inverse problem of recovering images from the measurements taken by radio interferometric telescopes ...
McEwen, J. D., Wiaux, Y.
core +2 more sources
An intriguing correlation between the masses and periods of the transiting planets [PDF]
, 2004 We point out an intriguing relation between the masses of the transiting planets and their orbital periods. For the six currently known transiting planets, the data are consistent with a decreasing linear relation.
Alonso +24 more
core +2 more sources
Astrometric Calibration and Performance of the Dark Energy Spectroscopic Instrument Focal Plane
The Astronomical Journal, 2023 The Dark Energy Spectroscopic Instrument, consisting of 5020 robotic fiber positioners and associated systems on the Mayall telescope at Kitt Peak, Arizona, is carrying out a survey to measure the spectra of 40 million galaxies and quasars and produce ...
S. Kent +48 more
doaj +1 more source