TRANSFORMER-BASED GALAXY DETECTION SYSTEM IN THE SEARCH OF NEW GRAVITATIONAL LENS CANDIDATES
Gravitational lensing is an essential phenomenon in the development of astrophysics that significantly contributes to our understanding of the universe. However, direct observation of gravitational lensing phenomena is extremely challenging due to the vastness of the universe. In this study, deep...
Saved in:
主要作者: | Richard Sugandhi, Jonathan |
---|---|
格式: | Final Project |
語言: | Indonesia |
在線閱讀: | https://digilib.itb.ac.id/gdl/view/76657 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Institut Teknologi Bandung |
語言: | Indonesia |
相似書籍
-
USING VARIATIONAL AUTOENCODERS TO ENCODE GALAXY IMAGES IN SEARCH OF NEW GRAVITATIONAL LENS CANDIDATES
由: L. G. Tampubolon, Feralezer -
ANALYSIS PROBABILITY OF SDSS GALAXY SPECTRA AS GRAVITATIONAL LENS OBJECTS USING MACHINE LEARNING
由: Vincent -
ANALYSIS OF LENS REDSHIFT PROBABILITY DISTRIBUTION USING STRONG GRAVITATIONAL LENS SAMPLES IN THE DETERMINATION OF COSMOLOGICAL PARAMETERS AND GALAXY EVOLUTION PARAMETERS
由: Indra Arwinata, Hafiz -
Identification and Characterization of Gravitationally-lensed Distant Star-forming Galaxies
由: Karnchana Aroonrueang
出版: (2019) -
FINDING NEW GRAVITATIONAL LENS SYSTEMS USING DEEP LEARNING
由: Yahya Kurnianto, Naufal