LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
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21cmEMUv3 emulates the cylindrical 21cm power spectrum via score-based diffusion and six other 21cmFAST observables via LSTM networks at sub-percent accuracy, then uses the emulator to infer a lower limit on soft-band X-ray luminosity from HERA data.
Yeo-Johnson preprocessing combined with moderate amplitude compression provides the best trade-off for conditional diffusion models emulating 3D 21 cm lightcones, supported by MAE_std on the global signal, though biases remain in power spectra and higher-order statistics.
This review summarizes SKA-Low's tomographic imaging potential for the 21-cm signal and its connection to the global 21-cm signal.
A review chapter on tools for inferring galaxy and IGM properties from the 21 cm signal using the initial SKA-Low array configuration.
An overview summarizing SKA-Low 21cm experiments for power spectrum, tomography, 21-cm forest, and cross-correlations, plus critical telescope features, building on the 2015 SKA Science Book.
citing papers explorer
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One Generator, Any Process: LLM-Conditioning for the LHC
LLM embeddings condition generative networks for LHC events, yielding faster convergence, higher quality, and generalization to unseen processes.
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21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables
21cmEMUv3 emulates the cylindrical 21cm power spectrum via score-based diffusion and six other 21cmFAST observables via LSTM networks at sub-percent accuracy, then uses the emulator to infer a lower limit on soft-band X-ray luminosity from HERA data.
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Three-dimensional Conditional Diffusion Models for Cosmological 21 cm Lightcone Emulation
Yeo-Johnson preprocessing combined with moderate amplitude compression provides the best trade-off for conditional diffusion models emulating 3D 21 cm lightcones, supported by MAE_std on the global signal, though biases remain in power spectra and higher-order statistics.
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Imaging the 21-cm Signal from the Cosmic Dawn & Epoch of Reionization and the Connection with the Global Signal
This review summarizes SKA-Low's tomographic imaging potential for the 21-cm signal and its connection to the global 21-cm signal.
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Inferring Cosmology and Astrophysics from the High-redshift 21cm Signal with SKA-Low
A review chapter on tools for inferring galaxy and IGM properties from the 21 cm signal using the initial SKA-Low array configuration.
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Overview of 21cm Experiments at high redshift with SKAO
An overview summarizing SKA-Low 21cm experiments for power spectrum, tomography, 21-cm forest, and cross-correlations, plus critical telescope features, building on the 2015 SKA Science Book.
- Application of Machine Learning to 21 cm Cosmology