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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/63672/1/Pages%20from%20AL%20SHUAILI%20ISHAQ%20YAHYA%20KHALFAN%20-%20TESIS.pdf http://eprints.usm.my/63672/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|