Classification of Stellar Formations with Machine Learning

Among the stellar formations observed with modern telescopes are stars, galaxies, and quasars. Depending on what formation they are, they emit different types of light. We use data on the light emitted by each formation emitted to train a neural network, which will classify each formation as either a star, galaxy, or quasar. We explain our process as we set up each element of the neural network.

Authors

Institutions

Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsrhs.v13i3.6906
Primary Topic
Astronomy and Astrophysical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification of Stellar Formations with Machine Learning

Alexander R. Miller
Journal of Student Research
Astronomy and Astrophysical Research
article

Classification of Stellar Formations with Machine Learning

Alexander R. Miller
article en

Abstract

Among the stellar formations observed with modern telescopes are stars, galaxies, and quasars. Depending on what formation they are, they emit different types of light. We use data on the light emitted by each formation emitted to train a neural network, which will classify each formation as either a star, galaxy, or quasar. We explain our process as we set up each element of the neural network.

Journal of Student ResearchVol. 13(3)
Suffolk Horse Society (GB)
Openalex Percentile: Top 77%
Astronomy and Astrophysical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Classification of Stellar Formations with Machine Learning — Alexander R. Miller · Journal of Student Research (2024) | TGRS Research Map | TGRS