The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch [PDF]
Advances in Astronomy, Volume 2010, Issue 1, 2010., 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 +5 more sources
A New Approach to Astronomical Data Analysis Based on Multiple Variables
Advances in Astronomy, Volume 2023, Issue 1, 2023., 2023 Data analysis for a sample of celestial bodies generally is preceded by the completeness test in order to verify whether the sample objects are proper representatives of the corresponding part of the universe. A data set following a multivariate, continuous, uniform distribution is said to be “complete in space.” This paper introduces a new approach to
Prasenjit Banerjee +3 more
wiley +1 more source
Deep Learning of Quasar Lightcurves in the LSST Era
Universe, 2023 Deep learning techniques are required for the analysis of synoptic (multi-band and multi-epoch) light curves in massive data of quasars, as expected from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST).
Andjelka B. Kovačević +8 more
doaj +1 more source
Robust Estimates of Orientation between Astrometric Catalogs
The Astronomical Journal, 2023 Accurately comparing two celestial reference frames based on the observed position of a number of common objects requires to detect and appropriately process outliers, lest they spuriously influence the results.
Julien Frouard
doaj +1 more source
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds
The Astrophysical Journal, 2023 We introduce the state-of-the-art deep-learning denoising diffusion probabilistic model as a method to infer the volume or number density of giant molecular clouds (GMCs) from projected mass surface density maps.
Duo Xu +3 more
doaj +1 more source
Some statistical and computational challenges, and opportunities in astronomy [PDF]
, 2004 The data complexity and volume of astronomical findings have increased in recent decades due to major technological improvements in instrumentation and data collection methods.
Babu, G. Jogesh, Djorgovski, S. George
core +1 more source
The Effect of Superpositions on the Planetary Nebula Luminosity Function
The Astrophysical Journal, 2023 Planetary nebula (PN) surveys in systems beyond ∼10 Mpc often find high-excitation, point-like sources with [O iii ] λ 5007 fluxes greater than the apparent bright-end cutoff of the planetary nebula luminosity function (PNLF).
Owen Chase +3 more
doaj +1 more source
Intercomparison of Brown Dwarf Model Grids and Atmospheric Retrieval Using Machine Learning
The Astrophysical Journal, 2023 Understanding differences between substellar spectral data and models has proven to be a major challenge, especially for self-consistent model grids that are necessary for a thorough investigation of brown dwarf atmospheres.
Anna Lueber +6 more
doaj +1 more source
Using R-based VOStat as a low resolution spectrum analysis tool [PDF]
, 2007 We describe here an online software suite VOStat written mainly for the Virtual Observatory, a novel structure in which astronomers share terabyte scale data. Written mostly in the public-domain statistical computing language and environment R, it can do
Babu, Jogesh G., Mahabal, Ashish A.
core +2 more sources
Harnessing Unresolved Lensed Quasars: The Mathematical Foundation of the Fluctuation Curve
The Astrophysical Journal, 2023 Strong gravitational lensed quasars (QSOs) have emerged as powerful and novel cosmic probes as they can deliver crucial cosmological information, such as a measurement of the Hubble constant, independent of other probes. Although the upcoming LSST survey
Satadru Bag +3 more
doaj +1 more source