Optimizing spectral stacking for 21-cm observations of galaxies: accuracy assessment and symmetrized stacking. Issue 3 (11th June 2022)

• Record Type: Journal Article
• Authors: Sinigaglia, Francesco; Elson, Ed; Rodighiero, Giulia; Vaccari, Mattia
• Is Part Of: Monthly notices of the Royal Astronomical Society. Volume 514:Issue 3(2022)
• Page Start: 4205
• Page End: 4221
• Publication Date: 2022-06-11
• Subjects: galaxies: formation -- radio lines: galaxies -- methods: statistical -- large-scale structure of Universe; Astronomy -- Periodicals; Periodicals; 520.5
• DOI: 10.1093/mnras/stac1584
• Languages: English
• ISSNs: 0035-8711

Abstract

ABSTRACT: We present an assessment of the accuracy of common operations performed in 21-cm spectral line stacking experiments. To this end, we generate mock interferometric data surveying the 21-cm emission at frequency 1310 < ν < 1420 MHz (0.005 < z < 0.084) and covering an area ∼6 deg 2 of the sky, mimicking the observational characteristics of real MeerKAT observations. We find that the primary beam (PB) correction accounts for just few per cent ($\sim 8{{\ \rm per\ cent}}$ at 0 PB power, $\sim 3{{\ \rm per\ cent}}$ at 0.6 PB power) deviations from the true M HI signal, and that weighting schemes are based on noise properties provide unbiased results. On the contrary, weighting schemes based on distance can account for significant systematic mass differences when applied to a flux-limited sample ($\Delta M_{\rm HI}\sim 40{-}50{{\ \rm per\ cent}}$ in the studied case). We find no significant difference in the final $\mathinner {\langle {M_{\rm HI}}\rangle }$ obtained when spectroscopic redshift uncertainties are accounted for in the stacking procedure (Δ z ∼ 0.000 35, i.e. $\Delta v \sim 100\, {\rm km\, s}^{-1}$ ). We also present a novel technique to increase the effective size of the galaxy sample by exploiting the geometric symmetries of galaxy cubelets, potentially enhancing the S/N by a factor of $\sim \sqrt{2}$ when analyzing the final stacked spectrum (a factor of 4 in a cubelet). This procedure is found to be robustly unbiased, while efficiently increasing the S/N, as expected. We argue that an appropriate framework employing detailed and realistic simulations is required to exploit upcoming data sets from SKA pathfinders in an accurate and reliable manner.