Results 31 to 40 of about 185 (62)
Semi-supervised Learning for Photometric Supernova Classification
We present a semi-supervised method for photometric supernova typing. Our approach is to first use the nonlinear dimension reduction technique diffusion map to detect structure in a database of supernova light curves and subsequently employ random forest
Breiman +35 more
core +1 more source
Computational statistics using the Bayesian Inference Engine
This paper introduces the Bayesian Inference Engine (BIE), a general parallel, optimised software package for parameter inference and model selection. This package is motivated by the analysis needs of modern astronomical surveys and the need to organise
Babu +40 more
core +1 more source
LSDCat: Detection and cataloguing of emission-line sources in integral-field spectroscopy datacubes
We present a robust, efficient, and user-friendly algorithm for detecting faint emission-line sources in large integral-field spectroscopic datacubes together with the public release of the software package LSDCat (Line Source Detection and Cataloguing).
Herenz, Edmund Christian, Wisotzki, Lutz
core +1 more source
Observations of the early Universe ( z ≳ 4) with JWST reveal galaxy populations with a wide range of intrinsic luminosities and colors. Bursty star formation histories (SFHs), characterized by short-term fluctuations in the star formation rate (SFR ...
Emilie Burnham +16 more
doaj +1 more source
Classification and Anomaly Detection for Astronomical Datasets
This work develops two new statistical techniques for astronomical problems: a star / galaxy separator for the UKIRT Infrared Deep Sky Survey (UKIDSS) and a novel anomaly detection method for cross-matched astronomical datasets.
Henrion, Marc Yves Romain +1 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
Exploiting Network Topology for Accelerated Bayesian Inference of Grain Surface Reaction Networks [PDF]
In the study of grain-surface chemistry in the interstellar medium, there exists much uncertainty regarding the reaction mechanisms with few constraints on the abundances of grain-surface molecules.
Feeney, SM +3 more
core
Scientific data mining, integration, and visualization [PDF]
This report summarises the workshop on Scientific Data Mining, Integration and Visualization (SDMIV) held at the e-Science Institute, Edinburgh (eSI[1] ) on 24-25 October 2002, and presents a set of recommendations arising from the discussion that took ...
Atkinson, Malcolm +5 more
core
Arquitectura, técnicas y modelos para posibilitar la Ciencia de Datos en el Archivo de la Misión Gaia [PDF]
Tesis inédita de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, leída el 26/05/2017.The massive amounts of data that the world produces every day pose new challenges to modern ...
Tapiador de Pedro, Daniel
core +1 more source
Gamma-Ray Burst Detection with Poisson-FOCuS and Other Trigger Algorithms [PDF]
We describe how a novel online change-point detection algorithm, called Poisson-FOCuS, can be used to optimally detect gamma-ray bursts within the computational constraints imposed by miniaturized satellites such as the upcoming HERMES-Pathfinder ...
Crupi R. +7 more
core +1 more source

