Discovery of a very metal-poor galaxy overdensity of 17 members near a possible Pop III-enriched absorber at z=5.945, with estimated minimum halo mass of log(M_h,min/M_⊙)=10.68.
and Garaldi, Enrico and Bosman, Sarah E
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Empirical halo-to-[O III] emitter modeling with realistic JWST survey mocks produces cross-correlations consistent with z~6 data within large scatter, but with a ~10 cMpc offset in the 1D peak.
Review of 21 cm forest observations as a probe of the epoch of reionization and fundamental physics using the Square Kilometre Array.
GREX-PLUS is a proposed JAXA L-class mission with a 1m cooled telescope, wide-field 2-8um camera, and R=30000 spectrometer in 10-18um to enable studies of z>15 galaxies, protoplanetary snowlines, and related astrophysics.
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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Possible chemical signatures of first-star enrichment in a very metal-poor galaxy overdensity near the end of reionization
Discovery of a very metal-poor galaxy overdensity of 17 members near a possible Pop III-enriched absorber at z=5.945, with estimated minimum halo mass of log(M_h,min/M_⊙)=10.68.
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The impact of source and survey modelling on the connection between [O III] emitters and Ly $\alpha$ forest transmission at z ~ 6
Empirical halo-to-[O III] emitter modeling with realistic JWST survey mocks produces cross-correlations consistent with z~6 data within large scatter, but with a ~10 cMpc offset in the 1D peak.
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Exploring the Cosmic Dawn through the 21 cm Forest and High-redshift Radio Sources with the SKA
Review of 21 cm forest observations as a probe of the epoch of reionization and fundamental physics using the Square Kilometre Array.
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GREX-PLUS Science Book v2
GREX-PLUS is a proposed JAXA L-class mission with a 1m cooled telescope, wide-field 2-8um camera, and R=30000 spectrometer in 10-18um to enable studies of z>15 galaxies, protoplanetary snowlines, and related astrophysics.
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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.