Exploring The Synergy Of Template And Machine Learning Methods To Improve Photometric Redshifts
This thesis explores the use of both template-based and machine learning methods to improve the accuracy of galaxy photometric redshift estimation. The first method involves using template fitting to model the spectral energy distribution of a galaxy and estimate its redshift. The second method uses...
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| Format: | Thesis |
| Language: | English |
| Published: |
2024
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| Online Access: | http://eprints.usm.my/63672/ |
| Abstract | Abstract here |