Results 51 to 60 of about 526 (97)
Prototype selection for parameter estimation in complex models
Parameter estimation in astrophysics often requires the use of complex physical models. In this paper we study the problem of estimating the parameters that describe star formation history (SFH) in galaxies.
Freeman, Peter E. +3 more
core +1 more source
The Testbed for LISA Analysis Project
The Testbed for LISA Analysis (TLA) Project aims to facilitate the development, validation and comparison of different methods for LISA science data analysis, by the broad LISA Science Community, to meet the special challenges that LISA poses.
Benacquista, Matthew J. +3 more
core
Wide binary stars are important for testing alternative models of gravitation in the weak-field regime and understanding the statistical outcomes of dynamical interactions in the general Galactic field. The Gaia mission’s collection of weakly bound pairs
Valeri V. Makarov
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
Ashish Mahabal, Jogesh G. Babu
core +1 more source
Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine a two-step galaxy morphological classification framework ( USmorph ), which employs a combination of unsupervised ...
Jie Song +11 more
doaj +1 more source
In our previous works, we proposed a machine learning framework named USmorph for efficiently classifying galaxy morphology. In this study, we propose a self-supervised method called contrastive learning to upgrade the unsupervised machine learning (UML)
Shiwei Zhu +6 more
doaj +1 more source
We conduct a systematic robustness analysis of the hybrid machine learning framework USmorph , which integrates unsupervised and supervised learning for galaxy morphological classification.
Shiwei Zhu +7 more
doaj +1 more source
A Parameter-masked Mock Data Challenge for Beyond-two-point Galaxy Clustering Statistics
The past few years have seen the emergence of a wide array of novel techniques for analyzing high-precision data from upcoming galaxy surveys, which aim to extend the statistical analysis of galaxy clustering data beyond the linear regime and the ...
The Beyond-2pt Collaboration +25 more
doaj +1 more source
Faraday rotation measure (RM) synthesis is a well-known approach originated in B. J. Burn and later developed by M. A. Brentjens & A. G. de Bruyn for studying magnetic fields.
Ya-Wen Xiao +3 more
doaj +1 more source
CatNorth: An Improved Gaia DR3 Quasar Candidate Catalog with Pan-STARRS1 and CatWISE
A complete and pure sample of quasars with accurate redshifts is crucial for quasar studies and cosmology. In this paper, we present CatNorth, an improved Gaia Data Release 3 (Gaia DR3) quasar candidate catalog with more than 1.5 million sources in the 3
Yuming Fu +19 more
doaj +1 more source

