Testing the Completeness of the SDSS Colour Selection for Ultramassive, Slowly Spinning Black Holes
Caroline Bertemes, Benny Trakhtenbrot, Kevin Schawinski, Chris Done,, Martin Elvis

TL;DR
This study assesses the SDSS colour selection algorithm's effectiveness in detecting ultramassive, slowly spinning black holes, revealing significant biases against certain high-mass, low-spin SMBHs and highlighting gaps in current SMBH population understanding.
Contribution
It provides a detailed analysis of the biases in SDSS quasar selection for high-mass SMBHs, especially those with low or retrograde spins, using a comprehensive spectral energy distribution model.
Findings
High selection completeness (~99.8%) for SMBHs with mass ≤10^9.5 M_sun.
Significant bias against slowly/retrograde spinning SMBHs at masses ≥10^10 M_sun.
Very low detection probability (~3%) for SMBHs with mass ~10^11 M_sun.
Abstract
We investigate the sensitivity of the colour-based quasar selection algorithm of the Sloan Digital Sky Survey to several key physical parameters of supermassive black holes (SMBHs), focusing on BH spin () at the high BH-mass regime (). We use a large grid of model spectral energy distribution, assuming geometrically-thin, optically-thick accretion discs, and spanning a wide range of five physical parameters: BH mass , BH spin , Eddington ratio , redshift , and inclination angle . Based on the expected fluxes in the SDSS imaging ugriz bands, we find that of our models with are selected as quasar candidates and thus would have been targeted for spectroscopic follow-up. However, in the extremely high-mass regime, , we…
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.
