LLM embeddings condition a generative transformer to enable faster convergence, better performance, and generalization to unseen LHC processes using a single model.
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Simulation-based Inference of Reionization Parameters from 3D Tomographic 21 cm Light-cone Images
10 Pith papers cite this work. Polarity classification is still indexing.
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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.
Reviews how cross-correlating SKAO 21-cm LIM with other lines like [CII], CO, and Ly-alpha can mitigate systematics, enhance sensitivity, and disentangle cosmological from astrophysical parameters.
Reviews multiple higher-order statistics for 21-cm intensity mapping and forecasts their detectability with SKAO, incorporating noise and foreground effects.
A review chapter summarizing theoretical 21-cm signatures from Cosmic Dawn and Reionization and their detectability with SKA-Low.
This review summarizes SKA-Low's tomographic imaging potential for the 21-cm signal and its connection to the global 21-cm signal.
Review chapter organizing machine learning methods for 21 cm cosmology into observation, theory, and inference domains.
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.
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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.