The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
This article has been cited by the following article(s):
Simulation-based inference pipeline of the ionization history from the 2D 21 cm power spectrum
Nadia Cooper, Carina Norregaard, Romain Meriot and Jonathan R Pritchard Monthly Notices of the Royal Astronomical Society 548(2) (2026) https://doi.org/10.1093/mnras/stag577
Generative models of 21 cm Epoch of Reionisation lightcones with 3D scattering transforms
Determination of the mass distribution of the first stars from the 21-cm signal
T. Gessey-Jones, N. S. Sartorio, H. T. J. Bevins, A. Fialkov, W. J. Handley, E. de Lera Acedo, G. M. Mirouh, R. G. Izzard and R. Barkana Nature Astronomy 9(8) 1268 (2025) https://doi.org/10.1038/s41550-025-02575-x
Simulation-based inference has its own Dodelson–Schneider effect (but it knows that it does)
Direct reconstruction of the Reionization history from 21cm 2D Power Spectra
Yannic Pietschke, Caroline Heneka, Tom Schlenker, Ayodele Ore and Benedikt Schosser Journal of Cosmology and Astroparticle Physics 2025(10) 039 (2025) https://doi.org/10.1088/1475-7516/2025/10/039
Narrowing the discovery space of the cosmological 21-cm signal using multi-wavelength constraints
Jiten Dhandha, Anastasia Fialkov, Thomas Gessey-Jones, Harry T J Bevins, Sandro Tacchella, Simon Pochinda, Eloy de Lera Acedo, Saurabh Singh and Rennan Barkana Monthly Notices of the Royal Astronomical Society 544(2) 1608 (2025) https://doi.org/10.1093/mnras/staf1736
Sample variance denoising in cylindrical 21 cm power spectra
Full-waveform earthquake source inversion using simulation-based inference
A A Saoulis, D Piras, A Spurio Mancini, B Joachimi and A M G Ferreira Geophysical Journal International 241(3) 1741 (2025) https://doi.org/10.1093/gji/ggaf112
Parameter estimation from the Lyα forest in the Fourier space using an information-maximizing neural network