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A Brief Review of Unsupervised Machine Learning Algorithms in Astronomy: Dimensionality Reduction and Clustering

Universe
This review investigates the application of unsupervised machine learning algorithms to astronomical data. Unsupervised machine learning enables researchers to analyze large, high-dimensional, and unlabeled datasets and is sometimes considered more ...
Chih-Ting Kuo, Duo Xu, R. Friesen
semanticscholar   +1 more source

Data Reduction for Cherenkov Gamma-Ray Astronomy on Jetson TK1

2016
A mini-array of ASTRI SST-2M Cherenkov telescopes will be deployed soon in a remote site far away from human activities to achieve optimal observation conditions for gamma-ray astronomy. In such a scenario, the capability of each telescope to process its own data before sending them to a central acquisition system provides a key advantage.
A. Madonna   +4 more
openaire   +1 more source

UVIT data reduction pipeline: A CCDLAB and UVIT tutorial

Journal of astrophysics and astronomy, 2021
J. Postma, D. Leahy
semanticscholar   +1 more source

Study and development of programming topologies in FPGA for the reduction and analysis of data from heterodyne instruments for radio astronomy

Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy XI, 2022
Jael Rojas Miguel   +3 more
openaire   +1 more source

Thermal background reduction for mid-infrared imaging by low-rank background and sparse point-source modelling. Quantitative and qualitative demonstrations on ground-based VISIR and airborne SOFIA time series

Astronomy & Astrophysics
Mid-infrared astronomy from the ground faces critical challenges in accurately detecting and quantifying sources due to the dominant spatially and time-variable background noise.
R. Moens   +3 more
semanticscholar   +1 more source

Cloud services on an astronomy data center

Astronomical Telescopes + Instrumentation, 2016
M. Solar   +4 more
semanticscholar   +1 more source

First Galactic Maser Observations on Ventspils Radio Telescopes – Instrumentation and Data Reduction

Proceedings of the International Astronomical Union, 2017
I. Shmeld   +5 more
semanticscholar   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

The Iraf Data Reduction And Analysis System

Astronomical Telescopes and Instrumentation, 1986
D. Tody
semanticscholar   +1 more source

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