Constraining the galaxy-halo connection of infrared-selected <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>u</mml:mi><mml:mi>n</mml:mi><mml:mi>W</mml:mi><mml:mi>I</mml:mi><mml:mi>S</mml:mi><mml:mi>E</mml:mi></mml:math> galaxies with galaxy clustering and galaxy-CMB lensing power spectra
Bibliographic record
Abstract
We present the first detailed analysis of the connection between galaxies and their dark matter halos for the unWISE galaxy catalog---a full-sky, infrared-selected sample built from WISE data, containing over 500 million galaxies. Using unWISE galaxy-galaxy autocorrelation and Planck CMB lensing-galaxy cross-correlation measurements down to 10 arcmin angular scales, we constrain the halo occupation distribution (HOD), a model describing how central and satellite galaxies are distributed within dark matter halos, for three unWISE galaxy samples at mean redshifts $\overline{z}\ensuremath{\approx}0.6$, 1.1, and 1.5, assuming a fixed cosmology at the best-fit Planck $\mathrm{\ensuremath{\Lambda}}\mathrm{CDM}$ values. We constrain the characteristic minimum halo mass to host a central galaxy, ${M}_{\mathrm{min}}^{\mathrm{HOD}}=1.8{3}_{\ensuremath{-}1.63}^{+0.41}\ifmmode\times\else\texttimes\fi{}{10}^{12}{M}_{\ensuremath{\bigodot}}/h$, ${5.22}_{\ensuremath{-}4.80}^{+0.34}\ifmmode\times\else\texttimes\fi{}{10}^{12}{M}_{\ensuremath{\bigodot}}/h$, ${6.60}_{\ensuremath{-}1.11}^{+0.30}\ifmmode\times\else\texttimes\fi{}{10}^{13}{M}_{\ensuremath{\bigodot}}/h$ and the mass scale at which one satellite galaxy per halo is found, ${M}_{1}^{\ensuremath{'}}=1.1{3}_{\ensuremath{-}0.70}^{+0.32}\ifmmode\times\else\texttimes\fi{}{10}^{13}{M}_{\ensuremath{\bigodot}}/h$, ${1.18}_{\ensuremath{-}1.11}^{+0.30}\ifmmode\times\else\texttimes\fi{}{10}^{13}{M}_{\ensuremath{\bigodot}}/h$, ${1.23}_{\ensuremath{-}1.17}^{+0.14}\ifmmode\times\else\texttimes\fi{}{10}^{14}{M}_{\ensuremath{\bigodot}}/h$ for the unWISE samples at $\overline{z}\ensuremath{\approx}0.6$, 1.1, and 1.5, respectively. We find that all three samples are dominated by central galaxies, rather than satellites. Using our constrained HOD models, we infer the effective linear galaxy bias for each unWISE sample, and find that it does not evolve as steeply with redshift as found in previous perturbation-theory-based analyses of these galaxies. We discuss possible sources of systematic uncertainty in our results, the most significant of which is the uncertainty on the galaxy redshift distribution. Our HOD constraints provide a detailed, quantitative understanding of how the unWISE galaxies populate the underlying dark matter halo distribution. These constraints will have a direct impact on future studies employing the unWISE galaxies as a cosmological and astrophysical probe, including measurements of ionized gas thermodynamics and dark matter profiles via Sunyaev-Zel'dovich and lensing cross-correlations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".