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Cited article:

A deep learning model to emulate simulations of cosmic reionization

Jonathan Chardin, Grégoire Uhlrich, Dominique Aubert, et al.
Monthly Notices of the Royal Astronomical Society 490 (1) 1055 (2019)
https://doi.org/10.1093/mnras/stz2605

Self-shielding of hydrogen in the IGM during the epoch of reionization

Jonathan Chardin, Girish Kulkarni and Martin G Haehnelt
Monthly Notices of the Royal Astronomical Society 478 (1) 1065 (2018)
https://doi.org/10.1093/mnras/sty992

A tale of seven narrow spikes and a long trough: constraining the timing of the percolation of H ii bubbles at the tail end of reionization with ULAS J1120+0641

Jonathan Chardin, Martin G. Haehnelt, Sarah E. I. Bosman and Ewald Puchwein
Monthly Notices of the Royal Astronomical Society 473 (1) 765 (2018)
https://doi.org/10.1093/mnras/stx2362

Large-scale opacity fluctuations in the Lyα forest: evidence for QSOs dominating the ionizing UV background atz∼ 5.5–6?

Jonathan Chardin, Ewald Puchwein and Martin G. Haehnelt
Monthly Notices of the Royal Astronomical Society 465 (3) 3429 (2017)
https://doi.org/10.1093/mnras/stw2943

Reionization through the lens of percolation theory

Steven R. Furlanetto and S. Peng Oh
Monthly Notices of the Royal Astronomical Society 457 (2) 1813 (2016)
https://doi.org/10.1093/mnras/stw104

Calibrating cosmological radiative transfer simulations with Ly α forest data: evidence for large spatial UV background fluctuations atz∼ 5.6–5.8 due to rare bright sources

Jonathan Chardin, Martin G. Haehnelt, Dominique Aubert and Ewald Puchwein
Monthly Notices of the Royal Astronomical Society 453 (3) 2944 (2015)
https://doi.org/10.1093/mnras/stv1786