The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch [PDF]
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
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
MeV measurements of γ-ray bursts by CGRO-COMPTEL: Revised catalog [PDF]
The imaging COMPTEL telescope has accumulated 0.1–30 MeV spectra, time-histories, and positions of more than forty γ-ray bursts within its ∼3 sr field of view in the eight years since its launch.
Bennett, K +12 more
core +2 more sources
The Farmer: A Reproducible Profile-fitting Photometry Package for Deep Galaxy Surveys
While space-borne optical and near-infrared facilities have succeeded in delivering a precise and spatially resolved picture of our Universe, their small survey area is known to underrepresent the true diversity of galaxy populations.
J. R. Weaver +19 more
doaj +1 more source
Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection
We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender , which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra.
Yan Liang +4 more
doaj +1 more source
Using R-based VOStat as a low resolution spectrum analysis tool [PDF]
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
Tidal Streams as Probes of the Galactic Potential [PDF]
We explore the use of tidal streams from Galactic satellites to recover the potential of the Milky Way. Our study is motivated both by the discovery of the first lengthy stellar stream in the halo (\cite{it98}) and by the prospect of measuring proper ...
David N. Spergel +8 more
core +2 more sources
Autoregressive Times Series Methods for Time Domain Astronomy
Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics—parametric autoregressive modeling—are rarely used to interpret astronomical ...
Eric D. Feigelson +4 more
doaj +1 more source
Ponderings on the Possible Preponderance of Perpendicular Planets
Misalignments between planetary orbits and the equatorial planes of their host stars are clues about the formation and evolution of planetary systems. Earlier work found evidence for a peak near 90° in the distribution of stellar obliquities, based on ...
Jared C. Siegel +2 more
doaj +1 more source
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]
Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle relationships are sought.
Biffi, V. +8 more
core +2 more sources

