Limits on the 21 cm power spectrum at z=6.5-7.0 from MWA observations
C. D. Nunhokee, D. Null, C. M Trott, N. Barry, Y. Qin, R. B. Wayth, J. L. B. Line, C. H. Jordan, B. Pindor, J. H. Cook, J. Bowman, A. Chokshi, J. Ducharme, K. Elder, Q. Guo, B. Hazelton, W. Hidayat, T. Ito, D. Jacobs, E. Jong, M. Kolopanis, T. Kunicki, E. Lilleskov

TL;DR
This paper reports the deepest upper limits on the 21 cm power spectrum during the Epoch of Reionization from MWA data, indicating evidence of a heated intergalactic medium at redshifts 6.5 to 7.0.
Contribution
It introduces improved data analysis techniques and provides the first evidence of a heated IGM at these redshifts using MWA observations.
Findings
Lowest power spectrum limits achieved by MWA to date.
Evidence of heated intergalactic medium at z=6.5-7.0.
Power spectrum measurements at specific k-values and redshifts.
Abstract
This paper presents the spherically-averaged 21 cm power spectrum derived from Epoch of Reionization (EoR) observations conducted with the Murchison Widefield Array (MWA). The analysis uses EoR0-field data, centered at (RA, DEC), collected between 2013 and 2023. Building on the improved methodology described in Trott et al. 2020, we incorporate additional data quality control techniques introduced in Nunhokee et al. 2024. We report the lowest power level limits on the EoR power spectrum at redshifts , , and . These power levels, measured in the East-West polarization, are mK at Mpc, mK at Mpc and mK at Mpc respectively. The total integration time amounts to 268 hours. These results represent the deepest upper limits achieved by the MWA to date…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadio Astronomy Observations and Technology · Astronomy and Astrophysical Research · Computational Physics and Python Applications
