Results 21 to 30 of about 1,035 (121)
The Exoplanets Catalogues and Archives: An Astrostatistical Analysis
Communications of the Byurakan Astrophysical Observatory, 2022 The discovery of more than 5000 exoplanets based on several methods will improve our understanding of the formation and evolution of the exoplanets. Due to the dramatically increases in the amount of the astronomical data in recent decades. Which can be analyzed statistically to extract scientific information and test astrophysical theories.
A. A. Abushattal +2 more
openaire +1 more source
An analysis of feature relevance in the classification of astronomical transients with machine learning methods [PDF]
, 2016 The exploitation of present and future synoptic (multi-band and multi-epoch) surveys requires an extensive use of automatic methods for data processing and data interpretation.
Brescia, Massimo +6 more
core +4 more sources
Fast Algorithms and Efficient Statistics: N-point Correlation Functions [PDF]
, 2000 We present here a new algorithm for the fast computation of N-point correlation functions in large astronomical data sets. The algorithm is based on kdtrees which are decorated with cached sufficient statistics thus allowing for orders of magnitude speed-
Alex Gray +11 more
core +4 more sources
MeV measurements of γ-ray bursts by CGRO-COMPTEL: Revised catalog [PDF]
, 2000 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
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
The Accelerations of Stars Orbiting the Milky Way's Central Black Hole [PDF]
, 2000 Recent measurements, of the velocities of stars near the center of the Milky Way have provided the strongest evidence for the presence of a supermassive black hole in a galaxy, but the observational uncertainties poorly constrain many of the properties ...
A Eckart +22 more
core +3 more sources
The Astrophysical Journal, 2023 Cosmological parameters encoding our understanding of the expansion history of the universe can be constrained by the accurate estimation of time delays arising in gravitationally lensed systems.
Antoine D. Meyer +3 more
doaj +1 more source
The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]
, 2015 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
Robust joint modelling of sparsely observed paired functional data
Canadian Journal of Statistics, Volume 52, Issue 3, Page 734-754, September 2024.Abstract A reduced‐rank mixed‐effects model is developed for robust modelling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few functional principal components, and the association of the two functional variables is modelled through the association of the principal component ...
Huiya Zhou, Xiaomeng Yan, Lan Zhou
wiley +1 more source
Listening to stars: audio-inspired multimodal learning for star classification
Frontiers in Astronomy and Space SciencesStellar spectral classification plays a crucial role in understanding the intrinsic properties of stars, such as their temperature, composition, and luminosity.
Shengwen Zhang +3 more
doaj +1 more source