JWST UV luminosity function calibration of reionization history bounds primordial magnetic fields to √<B²> < 0.27 nG (n_B=-2) and < 0.18 nG (n_B=2) at 95% CL by ruling out double reionization at z≈24.
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8 Pith papers cite this work. Polarity classification is still indexing.
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A Gompertzian reionization model with three nuisance parameters demotes optical depth to a derived quantity, reducing its uncertainty by a factor of three and revealing potential neutrino mass tension in CMB analyses.
Large reionization simulations show that the distribution of dark gaps in the Ly-α forest favors models with reionization completing at z≈5.4 over earlier or constant short mean-free-path scenarios.
GHZ2 at z=12.3 shows a stratified ISM with coexisting density zones and needs an additional hard ionising component beyond pure radiation-bounded stellar models to match its emission lines and variability.
TECHNICOLOR DAWN simulations reveal an inside-out-middle reionization topology where CGM remains more neutral than IGM at z=5.5, and PDLA column density depends primarily on halo mass rather than neutral fraction.
A feed-forward neural network reconstructs reionization midpoint redshift z50 and duration Delta z from fixed-k 21 cm power spectrum trajectories using 21cmFAST simulations, with reported MAE of 0.0046 for z50.
Small-scale power spectrum boosts alter ionization morphology enough that 21 cm power spectra and bubble sizes remain distinguishable from Lambda CDM under current constraints, offering SKA a probe for such deviations.
Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.
citing papers explorer
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JWST Constraints on Primordial Magnetic Fields
JWST UV luminosity function calibration of reionization history bounds primordial magnetic fields to √<B²> < 0.27 nG (n_B=-2) and < 0.18 nG (n_B=2) at 95% CL by ruling out double reionization at z≈24.
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Into the Gompverse: A robust Gompertzian reionization model for CMB analyses
A Gompertzian reionization model with three nuisance parameters demotes optical depth to a derived quantity, reducing its uncertainty by a factor of three and revealing potential neutrino mass tension in CMB analyses.
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Studying dark gaps in Ly-$\alpha$ forest transmission with large reionization simulations
Large reionization simulations show that the distribution of dark gaps in the Ly-α forest favors models with reionization completing at z≈5.4 over earlier or constant short mean-free-path scenarios.
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Investigating ionising sources and the complex interstellar medium of GHZ2 at $z=12.3$
GHZ2 at z=12.3 shows a stratified ISM with coexisting density zones and needs an additional hard ionising component beyond pure radiation-bounded stellar models to match its emission lines and variability.
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Galaxy Proximate Damped Lyman-Alpha Systems and HI Reionization Topology in TECHNICOLOR DAWN
TECHNICOLOR DAWN simulations reveal an inside-out-middle reionization topology where CGM remains more neutral than IGM at z=5.5, and PDLA column density depends primarily on halo mass rather than neutral fraction.
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Reconstruction of Reionization Histories from 21 cm Power-Spectrum Evolution with Artificial Neural Networks
A feed-forward neural network reconstructs reionization midpoint redshift z50 and duration Delta z from fixed-k 21 cm power spectrum trajectories using 21cmFAST simulations, with reported MAE of 0.0046 for z50.
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Probing power spectrum enhancement at small scales with the SKA
Small-scale power spectrum boosts alter ionization morphology enough that 21 cm power spectra and bubble sizes remain distinguishable from Lambda CDM under current constraints, offering SKA a probe for such deviations.
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Machine Learning Techniques for Astrophysics and Cosmology: Lyman-$\alpha$ forest
Review of machine learning applications for analyzing Lyman-alpha forest observations to probe cosmology, reionization, and dark matter.