Supervised Extraction of the Thermal Sunyaev–Zel’dovich Effect with a Three-dimensional Convolutional Neural Network
The thermal Sunyaev–Zel’dovich (SZ) effect offers a unique probe of the hot and diffuse Universe that could help close the missing baryon problem. Traditional extractions of the SZ effect, however, exhibit systematic noise that may lead to unreliable results. In this work, we provide an alternative...
Saved in:
| Main Authors: | Cameron T. Pratt, Zhijie Qu, Joel N. Bregman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
|
| Series: | The Astrophysical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4357/adf069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Simons Observatory: Characterization of the Large Aperture Telescope Receiver
by: Tanay Bhandarkar, et al.
Published: (2025-01-01) -
Flash Ionization of the Early Universe by Population III.1 Supermassive Stars
by: Jonathan C. Tan
Published: (2025-01-01) -
Integrated Galaxy Light from Stacking 105 Random Pointings in the Dark Energy Survey Data
by: Jenna E. Moore, et al.
Published: (2025-01-01) -
Moskwa w bieli i czerni - trzy filmowe portrety miasta
by: Justyna Czaja
Published: (2013-01-01) -
Monogem’s Contribution to the Galactic Cosmic-Ray Spectrum
by: Xiang-Li Qian, et al.
Published: (2025-01-01)