The work demonstrates that multi-tracer field-level SBI on galaxy and HI maps yields 2-7 times better constraints on Omega_m and sigma_8 than single-tracer or summary-statistic approaches, with 3D maps performing best.
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2026 2verdicts
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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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Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps
The work demonstrates that multi-tracer field-level SBI on galaxy and HI maps yields 2-7 times better constraints on Omega_m and sigma_8 than single-tracer or summary-statistic approaches, with 3D maps performing best.
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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.