Pith. sign in

REVIEW 12 cited by

Galaxy Evolution from Halo Occupation Distribution Modeling of DEEP2 and SDSS Galaxy Clustering

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv astro-ph/0703457 v2 pith:RIRXAJIH submitted 2007-03-16 astro-ph

classification astro-ph
keywords massgalaxieshaloscentralhalogalaxyevolutionformation
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We model the luminosity-dependent projected two-point correlation function of DEEP2 (z~1) and SDSS (z~0) galaxies within the Halo Occupation Distribution (HOD) framework. At both epochs, there is a tight correlation between central galaxy luminosity and halo mass, with the slope and scatter decreasing for larger halo masses, and the fraction of satellite galaxies decreasing at higher luminosity. Central L* galaxies reside in halos a few times more massive at z~1 than at z~0. We find little evolution in the relation between mass scales of host halos for central galaxies and satellite galaxies above the same luminosity threshold. Combining these HOD results with theoretical predictions of the typical growth of halos, we establish an evolutionary connection between the galaxy populations at the two redshifts by linking z~0 central galaxies to z~1 central galaxies that reside in their progenitor halos, which enables us to study the evolution of galaxies as a function of halo mass. We find that the stellar mass growth of galaxies depends on halo mass. On average, the majority of the stellar mass in central galaxies residing in z~0 low mass halos (~5x10^11 Msun/h) and only a small fraction of the stellar mass in central galaxies of high mass halos (~10^13 Msun/h) result from star formation between z~1 and z~0. In addition, the mass scale of halos where the star formation efficiency reaches a maximum is found to shift toward lower mass with time. Future work can combine HOD modeling of the clustering of galaxies at different redshifts with the assembly history and dynamical evolution of dark matter halos. This can lead to an understanding of the stellar mass growth due to both mergers and star formation as a function of host halo mass and provide powerful tests of galaxy formation theories. (Abridged).

Discussion (0). Sign in to comment.

Forward citations

Cited by 12 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects

    astro-ph.CO 2026-07 conditional novelty 7.0 of 10

    Non-linear velocity terms cancel in real-space linear reconstruction, but redshift-space distortions reintroduce a 10–20% small-scale suppression of the stacked kSZ signal.

  2. How I stop worrying about non-universality and $b_\phi$: Constraining local $f_{\rm NL}$ with $b_\phi$ priors from HOD posteriors

    astro-ph.CO 2026-07 unverdicted novelty 6.0 of 10

    Constructs b_phi priors from HOD posteriors on DESI EDR data to recover unbiased f_NL even with assembly bias.

  3. Thermal Sunyaev-Zel'dovich cross-correlations with unWISE galaxies: disentangling radio contamination, dust properties, and electron pressure

    astro-ph.CO 2026-06 unverdicted novelty 6.0 of 10

    Radio contamination must be jointly fit with tSZ and CIB in unWISE-Planck/ACT cross-spectra; its inclusion yields positive signals to ℓ ≃ 6000 that match a two-parameter generalized NFW pressure profile.

  4. The 3D clustering of Lyman Alpha Emitters measured with DESI

    astro-ph.CO 2026-06 unverdicted novelty 6.0 of 10

    DESI LAE clustering measurements give a linear bias of 2.31-2.62 with constraints on radiative transfer effects and halo occupation from correlation functions and power spectra.

  5. Constraining Neutrino Mass with the Void Weak Lensing Effect

    astro-ph.CO 2026-03 unverdicted novelty 6.0 of 10

    Simulations of void-shear cross-correlation demonstrate that void lensing can constrain total neutrino mass to σ(M_ν)=0.096 eV without shape noise and 0.340 eV with Stage-III-like noise.

  6. Reanalyzing DESI DR1: 5. Cosmological Constraints with Simulation-Based Priors

    astro-ph.CO 2026-02 conditional novelty 6.0 of 10

    Simulation-based priors applied to DESI DR1 full-shape data sharpen cosmological constraints (σ8 error halved) and yield Mν<0.090 eV in w0waCDM, but the results depend on HOD modeling assumptions.

  7. Fast and accurate Gaia-unWISE quasar mock catalogs from LPT and Eulerian bias

    astro-ph.CO 2025-09 unverdicted novelty 6.0 of 10

    Generation of 100 full-sky quasar spectrophotometric mock catalogs using a hierarchical nonlocal nonlinear bias scheme on Augmented Lagrangian Perturbation Theory lightcone fields, calibrated to DESI data and includin...

  8. DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars

    astro-ph.CO 2024-11 accept novelty 6.0 of 10

    DESI DR1 full-shape galaxy clustering constrains Omega_m = 0.296 ± 0.010, H0 = 68.63 ± 0.79 km/s/Mpc, and sigma_8 = 0.841 ± 0.034, consistent with LambdaCDM and Planck.

  9. Revisiting the 'Lensing is Low' Problem with UNIONS

    astro-ph.CO 2026-06 unverdicted novelty 5.0 of 10

    New UNIONS galaxy-galaxy lensing data around CMASS galaxies indicates no significant lensing is low problem, with joint HOD fits to GGL and GC favoring a slightly lower matter power spectrum amplitude than Planck.

  10. Bounding the Effect of HOD Assumptions on Small-Scale Clustering Constraints

    astro-ph.CO 2026-06 unverdicted novelty 5.0 of 10

    The fraction of AbacusSummit cosmologies excluded at 3σ by small-scale clustering multipoles drops from 81% to 25% when moving from fixed HOD parameters to broad marginalization over the five-parameter HOD model.

  11. Full Nonlinear Velocity Reconstruction With Transformer and Ensemble Tree Machine Learning

    astro-ph.CO 2026-06 unverdicted novelty 4.0 of 10

    Transformer and GBDT models trained on AbacusSummit mocks for DESI LRGs/ELGs recover nonlinear velocity power spectra and cross-correlations better than linear theory across a wider range of scales, with applications ...

  12. Large-scale structures of the Universe: physics, phenomenology, statistics

    astro-ph.CO 2026-06 unverdicted

    Lecture series on the physics, phenomenology, and statistics of large-scale cosmic structure evolution and non-Gaussian predictions.

Pith tools