Deep learning of CMB radiation temperature
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Publication:832575
DOI10.1016/j.aop.2022.168799zbMath1487.85023OpenAlexW4210854373MaRDI QIDQ832575
Evrim Ersin Kangal, Mehmet Salti
Publication date: 25 March 2022
Published in: Annals of Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.aop.2022.168799
Artificial neural networks and deep learning (68T07) Quantum optics (81V80) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Measures of information, entropy (94A17) Radiative transfer in astronomy and astrophysics (85A25)
Uses Software
Cites Work
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- Cosmological implications of interacting polytropic gas dark energy model in non-flat universe
- Polytropic black hole as a heat engine
- Unification of dark matter and dark energy: the inhomogeneous Chaplygin gas
- Polytropic anti-de Sitter black hole
- Variable polytropic gas cosmology
- Friedmann cosmology with decaying vacuum density
- A varying polytropic gas universe and phase space analysis
- <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi>f</mml:mi><mml:mrow><mml:mo>(</mml:mo><mml:mi>R</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mrow></mml:math>theories of gravity
- Why indexing works
- A statistical-mechanical explanation of dark matter halo properties
- A deep learning approach to cosmological dark energy models
- Machine learning meets the redshift evolution of the CMB temperature
- Machine Learning in Finance
- Relativistic Cosmology
- The cosmological constant problem
- Probability, Frequency and Reasonable Expectation
- The cosmological constant
- Chaplygin-like gas and branes in black hole bulks
- Deep learning approach to Hubble parameter
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