Skip to main navigation
Skip to search
Skip to main content
University of Portsmouth Home
Help & FAQ
Link opens in a new tab
Search content at University of Portsmouth
Home
Profiles
Organisations
Research outputs
Student theses
Datasets
Projects
Activities
Prizes
Press/Media
Equipment
matryoshka: Halo Model Emulator for the Galaxy Power Spectrum
Jamie Donald-McCann
, Florian Beutler
,
Kazuya Koyama
, Minas Karamanis
Institute of Cosmology & Gravitation
Research output
:
Contribution to journal
›
Article
›
peer-review
182
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'matryoshka: Halo Model Emulator for the Galaxy Power Spectrum'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
INIS
accuracy
20%
computerized simulation
20%
constraints
40%
data
40%
errors
20%
gain
20%
galaxies
100%
levels
40%
neural networks
20%
nonlinear problems
100%
power
100%
prediction
100%
Python
20%
shape
20%
space
40%
spectra
100%
transfer functions
20%
Engineering
Accurate Prediction
20%
Linear Component
40%
Linear Prediction
20%
Nonlinearity
20%
Potential Gain
20%
Power Spectra
100%
Real Space
40%
Shape Analysis
20%
Transfer Function
20%
Physics
Neural Network
20%
Power Spectra
100%
Transfer Function
20%
Chemical Engineering
Neural Network
100%