English

Restoration of the Tully-Fisher Relation by Statistical Rectification

Astrophysics of Galaxies 2024-02-26 v3 Instrumentation and Methods for Astrophysics

Abstract

I employ the Lucy rectification algorithm to recover the inclination-corrected distribution of local disk galaxies in the plane of absolute magnitude (MiM_i) and HI velocity width (W20W_{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 HI-selected disk galaxies at z<0.06z < 0.06 from the Arecibo Legacy Fast ALFA (ALFALFA) survey, I show that the restored distribution follows a sharp correlation that is approximately a power law between 16>Mi>22-16 > M_i > -22: Mi=M02.5β [log(W20/250km/s)]M_i = M_0 - 2.5\beta \ [\log(W_{\rm 20}/250 {\rm km/s})], with M0=19.77±0.04M_0 = -19.77\pm0.04 and β=4.39±0.06\beta = 4.39\pm0.06. At the brighter end (Mi<22M_i < -22), the slope of the correlation decreases to β3.3\beta \approx 3.3, confirming previous results. Because the method accounts for measurement errors, the intrinsic dispersion of the correlation is directly measured: σ(logW20)0.06\sigma(\log W_{20}) \approx 0.06 dex between 17>Mi>23-17 > M_i > -23, while σ(Mi)\sigma(M_i) decreases from \sim0.8 in slow rotators to \sim0.4 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.

Keywords

Cite

@article{arxiv.2401.13738,
  title  = {Restoration of the Tully-Fisher Relation by Statistical Rectification},
  author = {Hai Fu},
  journal= {arXiv preprint arXiv:2401.13738},
  year   = {2024}
}

Comments

ApJ Letters accepted. Python notebook and data files are available at https://github.com/fuhaiastro/TFR_Lucy