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arxiv: 2606.28559 · v1 · pith:VTNEKUZOnew · submitted 2026-06-26 · 🌌 astro-ph.CO · astro-ph.GA

DESI DR2 Reference Mocks: Clustering results from UCHUU ELGs and QSOs

R. Vaisakh , J. Lasker , R. Kehoe , A. Amalbert , N. Khan , E. Fernandez-Garcia , F. Prada , M. S. Wang
show 39 more authors
J. DeRose S. Bailey A. J. Ross J. Aguilar S. Ahlen D. Bianchi D. Brooks F. J. Castander T. Claybaugh K. S. Dawson A. de la Macorra S. Ferraro J. E. Forero-Romero E. Gaztanaga Satya Gontcho A Gontcho G. Gutierrez C. Hahn M. Ishak R. Joyce S. Juneau T. Kisner A. Kremin C. Lamman M. Landriau M. E. Levi M. Manera R. Miquel A. D. Myers S. Nadathur W. J. Percival I. Perez-Rafols G. Rossi E. Sanchez D. Schlegel H. Seo G. Tarle B. A. Weaver R. Zhou H. Zou
This is my paper

Pith reviewed 2026-06-30 00:34 UTC · model grok-4.3

classification 🌌 astro-ph.CO astro-ph.GA
keywords DESIELGQSOUchuu simulationsubhalo abundance matchinggalaxy clusteringmock catalogslarge-scale structure
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The pith

Modified subhalo abundance matching on the Uchuu simulation produces mock catalogs that match the clustering statistics of DESI DR2 emission-line galaxies and quasars.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper constructs reference mock catalogs for emission line galaxies and quasars using a modified subhalo abundance matching method on the Uchuu N-body simulation. These mocks are tuned to reproduce the observed number density and two-point clustering statistics from DESI Data Release 2 across specified redshift ranges. By matching the large-scale clustering bias as well, the work provides a tool for testing cosmological models and refining our picture of how these galaxies trace dark matter halos. A sympathetic reader would care because accurate mocks are essential for interpreting large-scale structure surveys and constraining dark energy.

Core claim

We present results from ELG and QSO mock catalogs created from the Uchuu N-body simulation and tuned to DESI Data Release 2 (DR2) clustering. Employing a modified subhalo abundance matching (SHAM) technique, we populate Uchuu halos and subhalos with QSOs between 0.8 < z < 2.1. For ELGs, we modify this method to select satellite galaxies with low velocities relative to their associated central halos, and populate a separate set of Uchuu halos and subhalos with ELGs between 0.8 < z < 1.6. In this paper, we reproduce the redshift evolution of number density and clustering statistics across the fitted range of scales. We also measure the large-scale clustering bias of both the data and mock samp

What carries the argument

Modified subhalo abundance matching technique with low-velocity satellite selection for ELGs, applied to populate halos and subhalos from the Uchuu N-body simulation to match DESI DR2 clustering data.

If this is right

  • These mocks improve simulated lightcone construction from cosmological models.
  • The results enhance understanding of the galaxy-halo connection for high-redshift tracers.
  • Reproduction of number density and clustering statistics allows better tests of structure growth models.
  • The measured large-scale clustering bias supplies a benchmark for both the data and the simulations.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same modified matching approach could be tested on other N-body simulations to check whether the galaxy-halo relation remains consistent.
  • Mismatches that appear only on small scales could indicate the need for further adjustments to how satellite galaxies are assigned in the mocks.
  • The catalogs can be used directly in forecasts for constraints on dark energy parameters from future analyses of similar surveys.

Load-bearing premise

The modified subhalo abundance matching prescription, including the low-velocity satellite selection for ELGs, correctly captures the relationship between galaxies and dark matter halos in the Uchuu simulation across the relevant redshift range.

What would settle it

A comparison in which the mock catalogs fail to reproduce the measured number density evolution or the amplitude and scale dependence of clustering for ELGs and QSOs over 0.8 < z < 2.1 on scales from roughly 0.1 to 100 Mpc/h would show the central claim does not hold.

read the original abstract

High-redshift galaxy clustering provides a powerful probe of the growth of structure, testing models of dark matter, dark energy, and galaxy formation during the epoch when the Universe was rapidly evolving. Emission line galaxies (ELGs) and quasars (QSOs) are used as tracers of dark matter by the Dark Energy Spectroscopic Instrument (DESI) to probe this redshift regime. We present results from ELG and QSO mock catalogs created from the Uchuu N-body simulation and tuned to DESI Data Release 2 (DR2) clustering. Employing a modified subhalo abundance matching (SHAM) technique, we populate Uchuu halos and subhalos with QSOs between 0.8 < z < 2.1. For ELGs, we modify this method to select satellite galaxies with low velocities relative to their associated central halos, and populate a separate set of Uchuu halos and subhalos with ELGs between 0.8 < z < 1.6. In this paper, we reproduce the redshift evolution of number density and clustering statistics across the fitted range of scales. We also measure the large-scale clustering bias of both the data and mock samples. These results improve simulated lightcone construction from cosmological models and enhance our understanding of the galaxy-halo connection.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 0 minor

Summary. The manuscript describes the construction of mock catalogs for emission line galaxies (ELGs) and quasars (QSOs) using the Uchuu N-body simulation and a modified subhalo abundance matching (SHAM) technique. These mocks are tuned to match the clustering properties of DESI Data Release 2 (DR2) data in the redshift ranges 0.8 < z < 1.6 for ELGs and 0.8 < z < 2.1 for QSOs. The paper reports that the mocks reproduce the redshift evolution of number density and clustering statistics over the fitted scales and presents measurements of the large-scale clustering bias for both data and mocks.

Significance. If the detailed comparisons in the full manuscript confirm the reproduction with acceptable precision, these mocks will be valuable for DESI DR2 analyses as reference catalogs. The modified SHAM for ELGs adds to the toolkit for modeling satellite galaxies. The measurement of large-scale bias provides a consistency check between data and mocks. The tuning process is explicitly stated, so the results are not presented as independent predictions; the circularity concern therefore does not apply as a flaw in the central claim.

major comments (1)
  1. [Abstract] Abstract: The assertion that the mocks reproduce the redshift evolution of number density and clustering statistics lacks any quantitative validation metrics (e.g., reduced chi-squared, fractional residuals, or error bars on the reproduced quantities). This omission limits assessment of the tuning quality and should be addressed with specific measures drawn from the results sections.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the positive assessment and the constructive comment on the abstract. We address the single major comment point-by-point below.

read point-by-point responses

  1. Referee: [Abstract] Abstract: The assertion that the mocks reproduce the redshift evolution of number density and clustering statistics lacks any quantitative validation metrics (e.g., reduced chi-squared, fractional residuals, or error bars on the reproduced quantities). This omission limits assessment of the tuning quality and should be addressed with specific measures drawn from the results sections.

    Authors: We agree that the abstract would benefit from explicit quantitative metrics to allow readers to assess the tuning quality at a glance. The detailed comparisons (including residuals, error bars, and goodness-of-fit measures) are already shown in the results sections and figures. In the revised manuscript we will update the abstract to incorporate concise quantitative statements drawn directly from those sections, such as typical reduced chi-squared values or fractional residuals over the fitted scales. revision: yes

Circularity Check

1 steps flagged

Tuned mocks reproduce clustering statistics by construction within fitted scales

specific steps
  1. fitted input called prediction [Abstract]
    "We present results from ELG and QSO mock catalogs created from the Uchuu N-body simulation and tuned to DESI Data Release 2 (DR2) clustering. ... In this paper, we reproduce the redshift evolution of number density and clustering statistics across the fitted range of scales."

    Mocks are tuned to match the target clustering data; reporting that the mocks reproduce the clustering statistics (and number density) across the fitted scales is therefore a direct consequence of the tuning parameters rather than a separate prediction or validation.

full rationale

The paper explicitly tunes mocks to DESI DR2 clustering via modified SHAM and then reports reproduction of number density and clustering across the fitted range. This match follows directly from the tuning procedure rather than constituting an independent test. The bias measurement on both samples retains some independent content, preventing a higher score. No other circular patterns (self-definition, self-citation load-bearing, etc.) are identifiable from the provided text.

Axiom & Free-Parameter Ledger

1 free parameters · 1 axioms · 0 invented entities

Central claim rests on validity of modified SHAM and the assumption that tuning parameters can be chosen to match observations without introducing uncontrolled biases in clustering.

free parameters (1)
  • SHAM tuning parameters
    Parameters adjusted to match DESI DR2 number density and clustering; exact values not stated in abstract.
axioms (1)
  • domain assumption Modified SHAM with low-velocity satellite selection accurately models ELG occupation of halos
    Invoked to populate ELGs between 0.8 < z < 1.6

pith-pipeline@v0.9.1-grok · 6018 in / 1292 out tokens · 40380 ms · 2026-06-30T00:34:54.794643+00:00 · methodology

discussion (0)

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Reference graph

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