First upper limits on the 21-cm signal power spectrum of neutral hydrogen at $z=9.16$ from the LOFAR 3C196 field
E. Ceccotti, A. R. Offringa, F. G. Mertens, L. V. E. Koopmans, S. Munshi, J. K. Chege, A. Acharya, S. A. Brackenhoff, E. Chapman, B. Ciardi, R. Ghara, S. Ghosh, S. K. Giri, C. Höfer, I. Hothi, G. Mellema, M. Mevius, V. N. Pandey, S. Zaroubi
TL;DR
This paper establishes the first LOFAR-derived upper limits on the 21-cm power spectrum from the 3C196 field at $z\approx9.16$, using a dedicated 6-hour night and a revised processing pipeline. The authors build a wide-field sky model, apply DI and DD calibrations, and perform a residual foreground subtraction with a machine-learning enhanced Gaussian process regression (ML-GPR) that includes kernels for intrinsic and mode-mixing foregrounds as well as an excess component and a learned 21-cm kernel. They report a deepest 2$\sigma$ upper limit of $\Delta_{21}^2 < (146.61\ \mathrm{mK})^2$ at $k=0.078\ h\,\mathrm{cMpc}^{-1}$, with an excess power that differs in behavior from the NCP field, suggesting residual foreground origins. The study demonstrates that, with more nights and improved sky modelling, the 3C196 field can outperform the NCP in constraining the 21-cm signal on short timescales, and that combining the two fields incoherently could further tighten limits by $\sqrt{2}$. The work advances LOFAR's EoR program by addressing field-dependent systematics and validating the ML-GPR framework for robust foreground subtraction.
Abstract
The redshifted 21-cm signal of neutral hydrogen from the Epoch of Reionization (EoR) can potentially be detected using low-frequency radio instruments such as the Low-Frequency Array (LOFAR). So far, LOFAR upper limits on the 21-cm signal power spectrum have been published using a single target field: the North Celestial Pole (NCP). In this work, we analyse and provide upper limits for the 3C196 field, observed by LOFAR, with a strong ${\approx}80\,$Jy source in the centre. This field offers advantages such as higher sensitivity due to zenith-crossing observations and reduced geostationary radio-frequency interference, but also poses challenges due to the presence of the bright central source. After constructing a wide-field sky model, we process a single 6-hour night of 3C196 observations using direction-independent and direction-dependent calibration, followed by a residual foreground subtraction with a machine learned Gaussian process regression (ML-GPR). A bias correction is necessary to account for signal suppression in the GPR step. Still, even after this correction, the upper limits are a factor of two lower than previous single-night NCP results, with a lowest $2σ$ upper limit of $(146.61\,\text{mK})^2$ at $z = 9.16$ and $k=0.078\,h\,\text{cMpc}^{-1}$ (with $\text{d}k/k\approx 0.3$). The results also reveal an excess power, different in behaviour from that observed in the NCP field, suggesting a potential residual foreground origin. In future work, the use of multiple nights of 3C196 observations combined with improvements to sky modelling and ML-GPR to avoid the need for bias correction should provide tighter constraints per unit observing time than the NCP.
