Restoration of the Tully–Fisher Relation by Statistical Rectification

I employ the Lucy rectification algorithm to recover the inclination-corrected distribution of local disk galaxies in the plane of absolute magnitude ( M _i ) and H i velocity width ( W _20 ). By considering the inclination angle as a random variable with a known probability distribution, the novel...

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Bibliographic Details
Main Author: Hai Fu
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal Letters
Subjects:
Online Access:https://doi.org/10.3847/2041-8213/ad2856
Description
Summary:I employ the Lucy rectification algorithm to recover the inclination-corrected distribution of local disk galaxies in the plane of absolute magnitude ( M _i ) and H i velocity width ( W _20 ). By considering the inclination angle as a random variable with a known probability distribution, the novel approach eliminates one major source of uncertainty in studies of the Tully–Fisher relation: inclination angle estimation from axial ratio. Leveraging the statistical strength derived from the entire sample of 28,264 H i -selected disk galaxies at z < 0.06 from the Arecibo Legacy Fast ALFA survey, I show that the restored distribution follows a sharp correlation that is approximately a power law between −16 > M _i > −22: ${M}_{i}={M}_{0}-2.5\beta \ [\mathrm{log}({W}_{20}/250\mathrm{km}/{\rm{s}})]$ , with M _0 = −19.77± 0.04 and β = 4.39 ± 0.06. At the brighter end ( M _i < −22), the slope of the correlation decreases to β ≈ 3.3, confirming previous results. Because the method accounts for measurement errors, the intrinsic dispersion of the correlation is directly measured: $\sigma (\mathrm{log}{W}_{20})\approx 0.06$ dex between −17 > M _i > −23, while σ ( M _i ) decreases from ∼0.8 in slow rotators to ∼0.4 in fast rotators. The statistical rectification method holds significant potential, especially in the studies of intermediate-to-high-redshift samples, where limited spatial resolution hinders precise measurements of inclination angles.
ISSN:2041-8205