Revised LOFAR upper limits on the 21-cm signal power spectrum at <i>z</i> ≈ 9.1 using machine learning and gaussian process regression

Research article (Monthly Notices of the Royal Astronomical Society Letters, 2024) · cited 22× · AI/ML
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Revised LOFAR upper limits on the 21-cm signal power spectrum at z ≈ 9.1 using machine learning and gaussian process regression

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Revised LOFAR upper limits on the 21-cm signal power spectrum at z ≈ 9.1 using machine learning and gaussian process regression is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Revised LOFAR upper limits on the 21-cm signal power spectrum at <i>z</i> ≈ 9.1 using machine learning and gaussian process regression. Retrieved May 24, 2026, from https://4ort.xyz/entity/revised-lofar-upper-limits-on-the-21-cm-signal-power-spectrum-at-i-z-i-9-1-using-machine-learning-and-gaussian-process-r
MLA “Revised LOFAR upper limits on the 21-cm signal power spectrum at <i>z</i> ≈ 9.1 using machine learning and gaussian process regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/revised-lofar-upper-limits-on-the-21-cm-signal-power-spectrum-at-i-z-i-9-1-using-machine-learning-and-gaussian-process-r.
BibTeX @misc{4ortxyz_revised-lofar-upper-limits-on-the-21-cm-signal-power-spectrum-at-i-z-i-9-1-using-machine-learning-and-gaussian-process-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Revised LOFAR upper limits on the 21-cm signal power spectrum at <i>z</i> ≈ 9.1 using machine learning and gaussian process regression}}, year = {2026}, url = {https://4ort.xyz/entity/revised-lofar-upper-limits-on-the-21-cm-signal-power-spectrum-at-i-z-i-9-1-using-machine-learning-and-gaussian-process-r}, note = {Accessed: 2026-05-24}}
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