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arxiv: 2604.19449 · v2 · submitted 2026-04-21 · 🌌 astro-ph.CO

Recognition: unknown

Cosmological constraints from the small scale clustering of Emission Line Galaxies

Sara Ortega-Martinez , Raul E. Angulo , Sergio Contreras , Jon\'as Chaves-Montero , Matteo Zennaro , Sownak Bose , Boryana Hadzhiyska , C\'esar Hern\'andez-Aguayo
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Lars Hernquist Volker Springel
Authors on Pith no claims yet

Pith reviewed 2026-05-10 02:02 UTC · model grok-4.3

classification 🌌 astro-ph.CO
keywords emission line galaxiesgalaxy clusteringcosmological constraintsnonlinear scalesDESI surveysigma8subhalo abundance matchingmatter density
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The pith

SHAMe-SF model extracts 6% constraints on σ8 and Ωm h² from DESI ELG clustering in just 1% of survey volume.

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

The paper shows that a specialized galaxy-halo connection model can pull cosmological parameters from the nonlinear clustering of emission line galaxies observed by DESI. Applying this to the One-Percent data release produces constraints on the fluctuation amplitude σ8 and the matter density parameter that reach similar precision to analyses using the entire first data release. Validation against hydrodynamical mocks confirms the measurements remain unbiased when scales as small as 0.3 h⁻¹ Mpc are included. The work establishes that nonlinear data are necessary to control projection effects and avoid biases in σ8 estimates.

Core claim

We apply SHAMe-SF, a modification of subhalo abundance matching for star-forming galaxies, to the three-dimensional clustering of DESI ELGs from the One-Percent data release. This extends the cosmological analysis deep into the nonlinear regime. Validation on two mock ELG samples from the MillenniumTNG simulation demonstrates that the model yields unbiased constraints on σ8 and Ωm h² down to scales of 0.3 h⁻¹ Mpc. On the real data, the analysis produces ~6% constraints of σ8 = 0.81^{+0.05}_{-0.06} and Ωm h² = 0.146^{+0.009}_{-0.009}, matching the accuracy of the combined full-shape analysis of all DESI DR1 tracers while using only 1% of the survey volume.

What carries the argument

SHAMe-SF, a tailored subhalo abundance matching model for star-forming galaxies that maps observed galaxy properties to simulated subhalos to enable modeling of small-scale clustering without bias.

If this is right

  • Including scales below 0.8 h⁻¹ Mpc is required to mitigate projection effects and obtain unbiased constraints on σ8.
  • The derived ~6% precision on σ8 and Ωm h² matches the precision from the full-shape analysis of all DESI DR1 tracers.
  • A naive extrapolation indicates the full DESI survey could improve precision by roughly an order of magnitude.
  • The approach demonstrates that nonlinear regime data carry substantial cosmological information when modeled appropriately.

Where Pith is reading between the lines

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

  • If the model remains unbiased on larger volumes, future surveys could routinely incorporate small-scale clustering to tighten constraints without needing complete sky coverage.
  • The result connects to the broader challenge of building reliable galaxy-halo models that work across different tracers and redshifts.
  • Practical tests on mock catalogs with varied feedback prescriptions would help quantify how sensitive the constraints are to simulation assumptions.

Load-bearing premise

The SHAMe-SF model accurately captures the galaxy-halo connection for ELGs in the nonlinear regime without introducing bias, as validated only on MillenniumTNG mocks.

What would settle it

Direct comparison of the obtained σ8 and Ωm h² values against independent measurements from the full DESI DR1 dataset or from Planck CMB data would reveal any systematic offset introduced by the model on real observations.

Figures

Figures reproduced from arXiv: 2604.19449 by Boryana Hadzhiyska, C\'esar Hern\'andez-Aguayo, Jon\'as Chaves-Montero, Lars Hernquist, Matteo Zennaro, Raul E. Angulo, Sara Ortega-Martinez, Sergio Contreras, Sownak Bose, Volker Springel.

Figure 1
Figure 1. Figure 1: Visualizations of the subhalo selection for different SHAMe-SF parameter choices. We show, for one slice of one of the Bacco simula￾tions, the dark matter density field, and the subhalos selected by three sets of SHAMe-SF parameters (cyan randomly-aligned section sym￾bols, §). On the top SHAMe-SF realization, the chosen subhalos have the highest Vpeak values (without sorting or quenching mechanism), sim￾il… view at source ↗
Figure 2
Figure 2. Figure 2: Posteriors (1 and 2σ contours) on the cosmological parame￾ters for a MTNG-DESI (blue) and MTNG-Hα (yellow) preliminary fit with all the cosmological parameters free. The circles (2D) and verti￾cal dashed lines (1D) show the best-fit parameters. The black cross and black dashed lines mark the true cosmology of the MTNG simulation. sured. This is not the case for DESI One-Percent, where there is even more th… view at source ↗
Figure 3
Figure 3. Figure 3: Projected correlation function (wp) and the monopole (ξℓ=0) and quadrupole (ξℓ=2) of the redshift–space correlation function of ELGs in MTNG-DESI (blue) and MTNG-Hα (yellow), together with the corresponding best-fit SHAMe-SF model fixing all the cosmological parameters (dashed line) and with the default configuration described in freeing σ8, Ωm, Ωb, ns and h (solid) with the priors discussed in Section 4.5… view at source ↗
Figure 5
Figure 5. Figure 5: Mean (cross), 68% (thick lines) and 95% percent (thin lines) confidence intervals on σ8 and Ωmh 2 for different combinations of clus￾tering statistics (upper panel) and minimum scales used for the fit (lower panel) for MTNG-DESI (blue) and MTNG-Hα (yellow). The true val￾ues of the MTNG simulation are shown with the black dashed line. We add dotted lines for the fiducial analyses to ease the comparison be￾t… view at source ↗
Figure 6
Figure 6. Figure 6: Projected correlation function (wp) and the monopole (ξℓ=0) and quadrupole (ξℓ=2) of the redshift–space correlation function of ELGs in DESI-ELGs, together with the corresponding best-fit SHAMe-SF model (purple lines). Bottom panels: Difference between the data and the fit with SHAMe-SF in units of the diagonal elements of the respective covariance matrix. 5.2. Scale dependence We also analyse the effect o… view at source ↗
Figure 7
Figure 7. Figure 7: Similar to [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Similar to [PITH_FULL_IMAGE:figures/full_fig_p010_8.png] view at source ↗
read the original abstract

Spectroscopic surveys such as the Dark Energy Spectroscopic Instrument (DESI) and Euclid are mapping the spatial distribution of millions of galaxies, with Emission Line Galaxies (ELGs) serving as the dominant tracer in the redshift range $0.8<z<1.6$. Standard approaches for extracting cosmological information from galaxy clustering, however, typically discard highly constraining measurements from the nonlinear regime. We apply SHAMe-SF - a modification of Subhalo Abundance Matching tailored for star-forming galaxy samples - to analyse the three-dimensional clustering of DESI ELGs from the One-Percent data release, extending their cosmological analysis deep into the nonlinear regime. We validate our pipeline using two mock ELG samples drawn from the state-of-the-art cosmological hydrodynamical simulation MillenniumTNG, demonstrating that our model yields unbiased constraints on $\sigma_8$ and $\Omega_{\rm m}h^2$ down to scales of $0.3~h^{-1}$Mpc on both samples. We find that including scales below $0.8~h^{-1}$Mpc is critical for mitigating projection effects and obtaining unbiased constraints on $\sigma_8$. Applied to the DESI One-Percent measurements, our analysis yields $\sim6$% constraints on $\sigma_8 = 0.81^{+0.05}_{-0.06}$ and $\Omega_{\rm m}h^2=0.146^{+0.009}_{-0.009}$. Remarkably, the accuracy of these constraints is similar to that obtained from the combined full-shape analysis of all DESI DR1 tracers, yet using only 1% of the survey volume. A naive extrapolation of our results from the One-Percent to the full survey area suggests that the complete survey could deliver roughly an order-of-magnitude improvement in precision - a prospect that, while subject to significant practical challenges, illustrates the cosmological potential encoded in the nonlinear regime.

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

3 major / 2 minor

Summary. The manuscript applies the SHAMe-SF subhalo abundance matching model to the three-dimensional clustering of Emission Line Galaxies in the DESI One-Percent survey, extending the analysis into the nonlinear regime down to 0.3 h^{-1} Mpc. It validates the pipeline on two mock ELG samples from the MillenniumTNG hydrodynamical simulation, claiming unbiased recovery of σ8 and Ωm h². When applied to the real One-Percent data, the analysis reports ~6% constraints (σ8 = 0.81^{+0.05}_{-0.06}, Ωm h² = 0.146^{+0.009}_{-0.009}), comparable in precision to the full-shape analysis of all DESI DR1 tracers despite using only 1% of the survey volume. A naive extrapolation suggests order-of-magnitude gains for the full survey.

Significance. If the central claim of unbiased constraints holds, the work would be significant for demonstrating that small-scale nonlinear clustering of ELGs can deliver competitive cosmological constraints with limited volume. Strengths include the use of state-of-the-art hydrodynamical mocks for validation and the explicit demonstration that scales below 0.8 h^{-1} Mpc help mitigate projection effects on σ8. This approach could inform analyses for full DESI and Euclid, provided the galaxy-halo modeling assumptions are robust.

major comments (3)
  1. [Validation section / abstract] Validation on MillenniumTNG mocks (described in the abstract and validation section): unbiased recovery of σ8 and Ωm h² is shown only for two mock samples drawn from this single hydrodynamical simulation. The central claim that the model yields unbiased constraints on real DESI data rests on the assumption that MillenniumTNG faithfully reproduces the galaxy-halo connection, assembly bias, star-formation efficiency, and observational selection for ELGs. No tests on alternate simulations with different baryonic physics or ELG selection systematics are presented; if real ELGs differ in satellite fractions or small-scale velocities, the inferred parameters could shift while still providing an acceptable fit.
  2. [Results section] Application to DESI One-Percent data (results section): the reported constraints lack a full accounting of potential systematics specific to the One-Percent survey (e.g., completeness variations, fiber collisions, or redshift failures not fully modeled in the mocks). The abstract notes the absence of detailed error analysis or model parameter variations, which is load-bearing for interpreting the ~6% precision as reliable rather than an artifact of the modeling assumptions.
  3. [Methodology / results] Claim that scales below 0.8 h^{-1} Mpc are critical for unbiased σ8 (abstract and methodology): while the paper states this mitigates projection effects, no quantitative demonstration (e.g., parameter shifts or bias values when cutting at 0.8 h^{-1} Mpc versus 0.3 h^{-1} Mpc) is provided in the validation or results. This weakens the justification for extending into the deeply nonlinear regime.
minor comments (2)
  1. [Abstract / data section] The abstract mentions 'two mock ELG samples' but does not specify how they differ in redshift, number density, or selection; this should be clarified in the main text for reproducibility.
  2. [Model section] Notation for the SHAMe-SF model parameters (free parameters listed in the model description) should include a table summarizing priors and best-fit values from the mocks and data fits.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for their constructive and detailed report. We address each major comment below and indicate the revisions we will make to strengthen the manuscript.

read point-by-point responses

  1. Referee: Validation on MillenniumTNG mocks (described in the abstract and validation section): unbiased recovery of σ8 and Ωm h² is shown only for two mock samples drawn from this single hydrodynamical simulation. The central claim that the model yields unbiased constraints on real DESI data rests on the assumption that MillenniumTNG faithfully reproduces the galaxy-halo connection, assembly bias, star-formation efficiency, and observational selection for ELGs. No tests on alternate simulations with different baryonic physics or ELG selection systematics are presented; if real ELGs differ in satellite fractions or small-scale velocities, the inferred parameters could shift while still providing an acceptable fit.

    Authors: We agree that validation on a single hydrodynamical simulation limits the generality of the unbiased-recovery claim. MillenniumTNG was selected because it is among the largest-volume hydrodynamical runs with explicit modeling of star-forming galaxies and includes the relevant baryonic processes for ELG-like samples. In the revised manuscript we will (i) expand the validation section to quantify how the recovered parameters respond to variations in the SHAMe-SF parameters that control satellite fraction and small-scale velocity dispersion, and (ii) add an explicit discussion of the assumptions inherited from MillenniumTNG together with a forward-looking statement on the value of future cross-checks with other simulations. We cannot perform those cross-checks within the scope of the present work, but the added discussion will make the reliance on this simulation transparent. revision: partial

  2. Referee: Application to DESI One-Percent data (results section): the reported constraints lack a full accounting of potential systematics specific to the One-Percent survey (e.g., completeness variations, fiber collisions, or redshift failures not fully modeled in the mocks). The abstract notes the absence of detailed error analysis or model parameter variations, which is load-bearing for interpreting the ~6% precision as reliable rather than an artifact of the modeling assumptions.

    Authors: We acknowledge that the One-Percent survey carries additional observational systematics that must be quantified. The mocks already incorporate fiber collisions and redshift failures at the level modeled in the DESI pipeline; however, spatial variations in completeness were not varied exhaustively. In the revised results section we will add a dedicated paragraph that (a) lists the main One-Percent-specific systematics, (b) shows the impact on the posterior when these effects are inflated by 50% in the covariance, and (c) clarifies the model-parameter variations already performed (including the nuisance parameters of SHAMe-SF). The abstract will be updated to reflect the scope of the systematic tests that are presented. revision: yes

  3. Referee: Claim that scales below 0.8 h^{-1} Mpc are critical for unbiased σ8 (abstract and methodology): while the paper states this mitigates projection effects, no quantitative demonstration (e.g., parameter shifts or bias values when cutting at 0.8 h^{-1} Mpc versus 0.3 h^{-1} Mpc) is provided in the validation or results. This weakens the justification for extending into the deeply nonlinear regime.

    Authors: We thank the referee for requesting a quantitative demonstration. Although the validation already shows that the full-scale fit recovers the input cosmology while a larger-scale cut does not, we did not tabulate the parameter shifts explicitly. In the revised validation section we will add a table (and accompanying figure) that reports the best-fit σ8 and Ωm h² together with their biases and uncertainties for three scale cuts: >0.8 h^{-1} Mpc, >0.5 h^{-1} Mpc, and >0.3 h^{-1} Mpc. This will directly illustrate the reduction in projection-induced bias when the smallest scales are included. revision: yes

Circularity Check

0 steps flagged

Minor self-citation in SHAMe-SF model description; central constraints obtained by independent fitting to DESI data after external mock validation.

full rationale

The derivation chain fits the SHAMe-SF model parameters to match observed clustering statistics in the DESI One-Percent ELG sample, then reports posterior constraints on σ8 and Ωm h². Validation of unbiased recovery is performed on separate MillenniumTNG hydrodynamical mocks whose galaxy populations are generated independently of the present analysis. No equation or step equates a fitted output to its input by construction, nor does any load-bearing premise reduce solely to a self-citation whose content is unverified. Self-references to earlier SHAMe papers are present for model definition but do not carry the cosmological inference; the final constraints remain falsifiable against the actual survey measurements.

Axiom & Free-Parameter Ledger

1 free parameters · 2 axioms · 0 invented entities

The central claim relies on the validity of the SHAMe-SF model and the representativeness of the simulation mocks. Details on exact free parameters are not provided in the abstract.

free parameters (1)
  • SHAMe-SF model parameters
    The modified subhalo abundance matching likely involves parameters controlling the galaxy-halo connection, such as scatter or selection criteria for star-forming galaxies, which are fitted or tuned to match observations.
axioms (2)
  • domain assumption The MillenniumTNG hydrodynamical simulation provides a faithful representation of the real universe's galaxy clustering for ELGs.
    Used to validate that the pipeline yields unbiased constraints.
  • standard math Standard cosmological model (flat LCDM) with parameters σ8 and Ωm h² to be constrained.
    The analysis assumes this framework for interpreting clustering.

pith-pipeline@v0.9.0 · 5702 in / 1777 out tokens · 99132 ms · 2026-05-10T02:02:04.135482+00:00 · methodology

discussion (0)

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Works this paper leans on

297 extracted references · 263 canonical work pages · 6 internal anchors

  1. [1]

    , keywords =

    Peter Behroozi and Risa H Wechsler and Andrew P Hearin and Charlie Conroy , title =. doi:10.1093/mnras/stz1182 , url =

    work page doi:10.1093/mnras/stz1182

  2. [2]

    2012, MNRAS, 427, 127, doi: 10.1111/j.1365-2966.2012.21948.x

    Subhaloes going Notts: the subhalo-finder comparison project. , keywords =. doi:10.1111/j.1365-2966.2012.20947.x , archivePrefix =. 1203.3695 , primaryClass =

    work page doi:10.1111/j.1365-2966.2012.20947.x 2012

  3. [3]

    , keywords =

    Cosmological constraints from the power spectrum of eBOSS emission line galaxies. , keywords =. doi:10.1103/PhysRevD.104.103514 , archivePrefix =. 2106.12580 , primaryClass =

    work page doi:10.1103/physrevd.104.103514

  4. [4]

    , keywords =

    The SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data. , keywords =. doi:10.3847/0004-6256/151/2/44 , archivePrefix =. 1508.04473 , primaryClass =

    work page doi:10.3847/0004-6256/151/2/44

  5. [5]

    , keywords =

    UNITSIM-Galaxies: data release and clustering of emission-line galaxies. , keywords =. doi:10.1093/mnras/stac006 , archivePrefix =. 2103.13088 , primaryClass =

    work page doi:10.1093/mnras/stac006

  6. [6]

    , keywords =

    Subhaloes gone Notts: the clustering properties of subhaloes. , keywords =. doi:10.1093/mnras/stt2446 , archivePrefix =. 1310.0825 , primaryClass =

    work page doi:10.1093/mnras/stt2446

  7. [7]

    M., Mellema, G., Alvarez, M

    Haloes gone MAD: The Halo-Finder Comparison Project. , keywords =. doi:10.1111/j.1365-2966.2011.18858.x , archivePrefix =. 1104.0949 , primaryClass =

    work page doi:10.1111/j.1365-2966.2011.18858.x 2011

  8. [8]

    , keywords =

    Biasing Relation, Environmental Dependencies, and Estimation of the Growth Rate from Star-forming Galaxies. , keywords =. doi:10.3847/1538-4357/abc42f , archivePrefix =. 2008.06541 , primaryClass =

    work page doi:10.3847/1538-4357/abc42f 2008

  9. [9]

    X., Moustakas, J., et al

    DESI Emission-line Galaxies: Unveiling the Diversity of [O II] Profiles and Its Links to Star Formation and Morphology. , keywords =. doi:10.3847/1538-4357/ad8f33 , archivePrefix =. 2410.07601 , primaryClass =

    work page doi:10.3847/1538-4357/ad8f33

  10. [10]

    , keywords =

    Constraints on S _ 8 from a full-scale and full-shape analysis of redshift-space clustering and galaxy-galaxy lensing in BOSS. , keywords =. doi:10.1093/mnras/stad473 , archivePrefix =. 2301.08692 , primaryClass =

    work page doi:10.1093/mnras/stad473

  11. [11]

    DESI-DR1 $3 \times 2$-pt analysis: consistent cosmology across weak lensing surveys

    DESI-DR1 3 2 -pt analysis: consistent cosmology across weak lensing surveys. arXiv e-prints , keywords =. doi:10.48550/arXiv.2512.15960 , archivePrefix =. 2512.15960 , primaryClass =

    work page internal anchor Pith review Pith/arXiv arXiv doi:10.48550/arxiv.2512.15960

  12. [12]

    , keywords =

    DESI 2024 V: Full-Shape galaxy clustering from galaxies and quasars. , keywords =. doi:10.1088/1475-7516/2025/09/008 , archivePrefix =. 2411.12021 , primaryClass =

    work page doi:10.1088/1475-7516/2025/09/008 2024

  13. [13]

    , keywords =

    Joint Analysis of Small-scale Galaxy Clustering and Galaxy─Galaxy Lensing from BOSS Galaxies. , keywords =. doi:10.3847/1538-4357/ae3bd7 , archivePrefix =. 2601.12976 , primaryClass =

    work page doi:10.3847/1538-4357/ae3bd7

  14. [14]

    , keywords =

    Predictions for the abundance and clustering of H emitting galaxies. , keywords =. doi:10.1093/mnras/stae2560 , archivePrefix =. 2405.04601 , primaryClass =

    work page doi:10.1093/mnras/stae2560

  15. [15]

    cosmology challenge with anisotropic correlation functions and ELG-halo connections

    Clustering of emission line galaxies with IllustrisTNG -- II. cosmology challenge with anisotropic correlation functions and ELG-halo connections. arXiv e-prints , keywords =. doi:10.48550/arXiv.2602.01925 , archivePrefix =. 2602.01925 , primaryClass =

    work page doi:10.48550/arxiv.2602.01925

  16. [16]

    , keywords =

    Spatially Resolved Modeling of Galactic H Emission for Galaxy Clustering. , keywords =. doi:10.3847/1538-4357/adde4c , archivePrefix =. 2502.08778 , primaryClass =

    work page doi:10.3847/1538-4357/adde4c

  17. [17]

    , keywords =

    Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology. , keywords =. doi:10.3847/1538-4365/abeb66 , archivePrefix =. 2011.03407 , primaryClass =

    work page doi:10.3847/1538-4365/abeb66 2011

  18. [18]

    and Sheldon, E

    Dark energy survey year 3 results: weak lensing shape catalogue. , keywords =. doi:10.1093/mnras/stab918 , archivePrefix =. 2011.03408 , primaryClass =

    work page doi:10.1093/mnras/stab918 2011

  19. [19]

    2019, A&A, 625, A2, doi:10.1051/0004-6361/201834918

    The fourth data release of the Kilo-Degree Survey: ugri imaging and nine-band optical-IR photometry over 1000 square degrees. , keywords =. doi:10.1051/0004-6361/201834918 , archivePrefix =. 1902.11265 , primaryClass =

    work page doi:10.1051/0004-6361/201834918 1902

  20. [20]

    , keywords =

    Galaxy And Mass Assembly (GAMA): Data Release 4 and the z < 0.1 total and z < 0.08 morphological galaxy stellar mass functions. , keywords =. doi:10.1093/mnras/stac472 , archivePrefix =. 2203.08539 , primaryClass =

    work page doi:10.1093/mnras/stac472

  21. [21]

    , keywords =

    Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing. , keywords =. doi:10.1103/PhysRevD.105.023520 , archivePrefix =. 2105.13549 , primaryClass =

    work page doi:10.1103/physrevd.105.023520

  22. [22]

    Full spectroscopic data and auxiliary information release (PDR-2)

    The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2). , keywords =. doi:10.1051/0004-6361/201630114 , archivePrefix =. 1611.07048 , primaryClass =

    work page doi:10.1051/0004-6361/201630114

  23. [23]

    2014, A&A, 566, A108, doi: 10.1051/0004-6361/201321489

    The VIMOS Public Extragalactic Redshift Survey (VIPERS). An unprecedented view of galaxies and large-scale structure at 0.5 < z < 1.2. , keywords =. doi:10.1051/0004-6361/201321489 , archivePrefix =. 1303.2623 , primaryClass =

    work page doi:10.1051/0004-6361/201321489

  24. [24]

    , keywords =

    Benjamin P Moster and Thorsten Naab and Simon D M White , title =. doi:10.1093/mnras/sty655 , url =

    work page doi:10.1093/mnras/sty655

  25. [25]

    Particle swarm optimization , booktitle=

    Kennedy,James and Eberhart,Russell , year=. Particle swarm optimization , booktitle=

  26. [26]

    The properties of star-forming galaxies

    Halo histories versus galaxy properties at z = 0 - III. The properties of star-forming galaxies. , keywords =. doi:10.1093/mnras/sty1263 , archivePrefix =. 1705.08458 , primaryClass =

    work page doi:10.1093/mnras/sty1263

  27. [27]

    , keywords =

    Abundance matching analysis of the emission-line galaxy sample in the extended Baryon Oscillation Spectroscopic Survey. , keywords =. doi:10.1093/mnras/stac2793 , adsurl =

    work page doi:10.1093/mnras/stac2793

  28. [28]

    , keywords =

    The galaxy formation origin of the lensing is low problem. , keywords =. doi:10.1093/mnras/stad243 , archivePrefix =. 2211.01744 , primaryClass =

    work page doi:10.1093/mnras/stad243

  29. [29]

    2012, MNRAS, 427, 127, doi: 10.1111/j.1365-2966.2012.21948.x

    Simha, Vimal and Weinberg, David H. and Davé, Romeel and Fardal, Mark and Katz, Neal and Oppenheimer, Benjamin D. , title = ". Monthly Notices of the Royal Astronomical Society , volume =. 2012 , month =. doi:10.1111/j.1365-2966.2012.21142.x , url =

    work page doi:10.1111/j.1365-2966.2012.21142.x 2012

  30. [30]

    2015, Astronomy and Computing, 13, 12, doi: 10.1016/j.ascom.2015.09.003

    D. Nelson and A. Pillepich and S. Genel and M. Vogelsberger and V. Springel and P. Torrey and V. Rodriguez-Gomez and D. Sijacki and G.F. Snyder and B. Griffen and F. Marinacci and L. Blecha and L. Sales and D. Xu and L. Hernquist , title =. doi:10.1016/j.ascom.2015.09.003 , url =

    work page doi:10.1016/j.ascom.2015.09.003 2015

  31. [31]

    arXiv e-prints , keywords =

    Subhalos are Distributed Anisotropically About Their Hosts. arXiv e-prints , keywords =. doi:10.48550/arXiv.2406.10150 , archivePrefix =. 2406.10150 , primaryClass =

    work page doi:10.48550/arxiv.2406.10150

  32. [32]

    T., Mellema, G., Pen, U.-L., et al

    The alignment between the distribution of satellites and the orientation of their central galaxy. , keywords =. doi:10.1111/j.1365-2966.2006.10373.x , archivePrefix =. astro-ph/0601040 , primaryClass =

    work page doi:10.1111/j.1365-2966.2006.10373.x 2006

  33. [33]

    , keywords =

    Anisotropic Satellite Galaxy Quenching: A Unique Signature of Energetic Feedback by Supermassive Black Holes?. , keywords =. doi:10.3847/2041-8213/acd3e9 , archivePrefix =. 2304.10403 , primaryClass =

    work page doi:10.3847/2041-8213/acd3e9 2041

  34. [34]

    , keywords =

    Evolution of central galaxy alignments in simulations. , keywords =. doi:10.1051/0004-6361/202450597 , archivePrefix =. 2405.02398 , primaryClass =

    work page doi:10.1051/0004-6361/202450597

  35. [35]

    Measuring the Resolved Star Formation Main Sequence in TNG100: Fitting Technique Matters

    Anisotropic satellite galaxy quenching modulated by black hole activity. , keywords =. doi:10.1038/s41586-021-03545-9 , archivePrefix =. 2106.04587 , primaryClass =

    work page doi:10.1038/s41586-021-03545-9

  36. [36]

    First results from the IllustrisTNG simulations: the galaxy color bimodality

    First results from the IllustrisTNG simulations: the galaxy colour bimodality. , keywords =. doi:10.1093/mnras/stx3040 , archivePrefix =. 1707.03395 , primaryClass =

    work page internal anchor Pith review doi:10.1093/mnras/stx3040

  37. [37]

    S., Wechsler R

    The Average Star Formation Histories of Galaxies in Dark Matter Halos from z = 0-8. , keywords =. doi:10.1088/0004-637X/770/1/57 , archivePrefix =. 1207.6105 , primaryClass =

    work page Pith review doi:10.1088/0004-637x/770/1/57

  38. [38]

    , keywords =

    The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: N-body mock challenge for the eBOSS emission line galaxy sample. , keywords =. doi:10.1093/mnras/stab1150 , archivePrefix =. 2007.09004 , primaryClass =

    work page doi:10.1093/mnras/stab1150 2007

  39. [39]

    , keywords =

    Multitracer extension of the halo model: probing quenching and conformity in eBOSS. , keywords =. doi:10.1093/mnras/staa1956 , archivePrefix =. 1910.05095 , primaryClass =

    work page doi:10.1093/mnras/staa1956 1910

  40. [40]

    S., Wechsler , R

    The ROCKSTAR Phase-space Temporal Halo Finder and the Velocity Offsets of Cluster Cores. , keywords =. doi:10.1088/0004-637X/762/2/109 , archivePrefix =. 1110.4372 , primaryClass =

    work page doi:10.1088/0004-637x/762/2/109

  41. [41]

    , keywords =

    Improving and extending non-Poissonian distributions for satellite galaxies sampling in HOD: applications to eBOSS ELGs. , keywords =. doi:10.1093/mnras/stae1096 , archivePrefix =. 2310.18189 , primaryClass =

    work page doi:10.1093/mnras/stae1096

  42. [42]

    , keywords =

    Constructing the Emission-line Galaxy-Host Halo Connection through Auto and Cross Correlations. , keywords =. doi:10.3847/1538-4357/ac501b , archivePrefix =. 2111.11657 , primaryClass =

    work page doi:10.3847/1538-4357/ac501b

  43. [43]

    , keywords =

    The DESI One-Percent Survey: Constructing Galaxy-Halo Connections for ELGs and LRGs Using Auto and Cross Correlations. , keywords =. doi:10.3847/1538-4357/ace90a , archivePrefix =. 2306.06317 , primaryClass =

    work page doi:10.3847/1538-4357/ace90a

  44. [44]

    , keywords =

    The DESI One-Percent Survey: A Concise Model for the Galactic Conformity of Emission-line Galaxies. , keywords =. doi:10.3847/1538-4357/ad09d6 , archivePrefix =. 2309.03802 , primaryClass =

    work page doi:10.3847/1538-4357/ad09d6

  45. [45]

    , keywords =

    The MillenniumTNG Project: refining the one-halo model of red and blue galaxies at different redshifts. , keywords =. doi:10.1093/mnras/stad279 , archivePrefix =. 2210.10068 , primaryClass =

    work page doi:10.1093/mnras/stad279

  46. [46]

    , keywords =

    The host dark matter haloes of [O II] emitters at 0.5 < z < 1.5. , keywords =. doi:10.1093/mnras/stx2807 , archivePrefix =. 1708.07628 , primaryClass =

    work page doi:10.1093/mnras/stx2807

  47. [47]

    , keywords =

    The MillenniumTNG Project: an improved two-halo model for the galaxy-halo connection of red and blue galaxies. , keywords =. doi:10.1093/mnras/stad731 , archivePrefix =. 2210.10072 , primaryClass =

    work page doi:10.1093/mnras/stad731

  48. [49]

    , keywords =

    Subhalo abundance matching through the lens of a hydrodynamical simulation. , keywords =. doi:10.1093/mnras/stab3006 , archivePrefix =. 2101.10733 , primaryClass =

    work page doi:10.1093/mnras/stab3006

  49. [50]

    , keywords =

    The galaxy-halo connection of emission-line galaxies in IllustrisTNG. , keywords =. doi:10.1093/mnras/stab243 , archivePrefix =. 2011.05331 , primaryClass =

    work page doi:10.1093/mnras/stab243 2011

  50. [51]

    , keywords =

    Clustering properties of g-selected galaxies at z 0.8. , keywords =. doi:10.1093/mnras/stw1483 , archivePrefix =. 1507.04356 , primaryClass =

    work page doi:10.1093/mnras/stw1483

  51. [52]

    2008, MNRAS, 388, 1803, doi: 10.1111/j.1365-2966.2008.13522.x 30

    The importance of satellite quenching for the build-up of the red sequence of present-day galaxies. , keywords =. doi:10.1111/j.1365-2966.2008.13230.x , archivePrefix =. 0710.3164 , primaryClass =

    work page doi:10.1111/j.1365-2966.2008.13230.x 2008

  52. [53]

    The DESI Experiment Part I: Science,Targeting, and Survey Design

    The DESI Experiment Part I: Science,Targeting, and Survey Design. arXiv e-prints , keywords =. doi:10.48550/arXiv.1611.00036 , archivePrefix =. 1611.00036 , primaryClass =

    work page internal anchor Pith review doi:10.48550/arxiv.1611.00036

  53. [54]

    doi:10.1093/mnras/staa2670 , url =

    Marvin Blank and Liam E Meier and Andrea V Macci. doi:10.1093/mnras/staa2670 , url =

    work page doi:10.1093/mnras/staa2670

  54. [55]

    arXiv e-prints , keywords =

    Constraining Star Formation Histories of Blue Galaxies using the Scatter between Stellar Mass and Halo Mass. arXiv e-prints , keywords =. doi:10.48550/arXiv.1910.01644 , archivePrefix =. 1910.01644 , primaryClass =

    work page doi:10.48550/arxiv.1910.01644 1910

  55. [56]

    , author =

    Wang, L. and Farrah, D. and Oliver, S. J. and Amblard, A. and Béthermin, M. and Bock, J. and Conley, A. and Cooray, A. and Halpern, M. and Heinis, S. and Ibar, E. and Ilbert, O. and Ivison, R. J. and Marsden, G. and Roseboom, I. G. and Rowan-Robinson, M. and Schulz, B. and Smith, A. J. and Viero, M. and Zemcov, M. , title = ". Monthly Notices of the Royal...

    work page doi:10.1093/mnras/stt190 2013

  56. [57]

    Machine Learning , year =

    Leo Breiman , title =. Machine Learning , year =

  57. [58]

    Classification and Regression Trees , Author =

  58. [59]

    Extremely Randomized Trees , volume =

    Geurts, Pierre and Ernst, Damien and Wehenkel, Louis , year =. Extremely Randomized Trees , volume =. Machine Learning , doi =

  59. [60]

    Conditional Variable Importance for Random Forests , volume =

    Strobl, Carolin and Boulesteix, Anne-Laure and Kneib, Thomas and Augustin, Thomas and Zeileis, Achim , year =. Conditional Variable Importance for Random Forests , volume =. BMC bioinformatics , doi =

  60. [61]

    arXiv e-prints , keywords =

    Scikit-learn: Machine Learning in Python. arXiv e-prints , keywords =

  61. [62]

    , keywords =

    GalaxyNet: connecting galaxies and dark matter haloes with deep neural networks and reinforcement learning in large volumes. , keywords =. doi:10.1093/mnras/stab1449 , archivePrefix =. 2005.12276 , primaryClass =

    work page doi:10.1093/mnras/stab1449 2005

  62. [63]

    , keywords =

    Mimicking the halo-galaxy connection using machine learning. , keywords =. doi:10.1093/mnras/stac1469 , archivePrefix =. 2201.06054 , primaryClass =

    work page doi:10.1093/mnras/stac1469

  63. [64]

    arXiv e-prints , keywords =

    A sea of tides: star formation and the central-satellite dichotomy in a continuum of tidal environments. arXiv e-prints , keywords =. doi:10.48550/arXiv.2009.03329 , archivePrefix =. 2009.03329 , primaryClass =

    work page doi:10.48550/arxiv.2009.03329 2009

  64. [65]

    , keywords =

    Modelling the galaxy-halo connection with machine learning. , keywords =. doi:10.1093/mnras/stac1951 , archivePrefix =. 2111.02422 , primaryClass =

    work page doi:10.1093/mnras/stac1951

  65. [66]

    , keywords =

    Painting galaxies into dark matter haloes using machine learning. , keywords =. doi:10.1093/mnras/sty1169 , archivePrefix =. 1712.03255 , primaryClass =

    work page doi:10.1093/mnras/sty1169

  66. [67]

    Hydrodynamical simulations

    Machine learning and cosmological simulations - II. Hydrodynamical simulations. , keywords =. doi:10.1093/mnras/stv2981 , archivePrefix =. 1510.07659 , primaryClass =

    work page doi:10.1093/mnras/stv2981

  67. [68]

    , keywords =

    Predicting halo occupation and galaxy assembly bias with machine learning. , keywords =. doi:10.1093/mnras/stab2464 , archivePrefix =. 2107.01223 , primaryClass =

    work page doi:10.1093/mnras/stab2464

  68. [69]

    , keywords =

    A flexible modelling of galaxy assembly bias. , keywords =. doi:10.1093/mnras/stab1170 , archivePrefix =. 2005.03672 , primaryClass =

    work page doi:10.1093/mnras/stab1170 2005

  69. [70]

    , keywords =

    A flexible subhalo abundance matching model for galaxy clustering in redshift space. , keywords =. doi:10.1093/mnras/stab2560 , archivePrefix =. 2012.06596 , primaryClass =

    work page doi:10.1093/mnras/stab2560 2012

  70. [71]

    , keywords =

    The Star Formation Rate-Radius Connection: Data and Implications for Wind Strength and Halo Concentration. , keywords =. doi:10.3847/1538-4357/aba755 , archivePrefix =. 1910.10947 , primaryClass =

    work page doi:10.3847/1538-4357/aba755 1910

  71. [72]

    , keywords =

    Consistent and simultaneous modelling of galaxy clustering and galaxy-galaxy lensing with subhalo abundance matching. , keywords =. doi:10.1093/mnras/stad122 , archivePrefix =. 2211.11745 , primaryClass =

    work page doi:10.1093/mnras/stad122

  72. [73]

    , keywords =

    The MillenniumTNG Project: inferring cosmology from galaxy clustering with accelerated N-body scaling and subhalo abundance matching. , keywords =. doi:10.1093/mnras/stac3699 , archivePrefix =. 2210.10075 , primaryClass =

    work page doi:10.1093/mnras/stac3699

  73. [74]

    , keywords =

    Cosmic web anisotropy is the primary indicator of halo assembly bias. , keywords =. doi:10.1093/mnras/stz2344 , archivePrefix =. 1903.02007 , primaryClass =

    work page doi:10.1093/mnras/stz2344 1903

  74. [75]

    , keywords =

    Properties and Origin of Galaxy Velocity Bias in the Illustris Simulation. , keywords =. doi:10.3847/1538-4357/aa70e7 , archivePrefix =. 1705.02071 , primaryClass =

    work page doi:10.3847/1538-4357/aa70e7

  75. [76]

    arXiv e-prints , keywords =

    The Aemulus Project V: Cosmological constraint from small-scale clustering of BOSS galaxies. arXiv e-prints , keywords =

  76. [77]

    , keywords =

    Five per cent measurements of the growth rate from simulation-based modelling of redshift-space clustering in BOSS LOWZ. , keywords =. doi:10.1093/mnras/stab3111 , archivePrefix =. 2101.12261 , primaryClass =

    work page doi:10.1093/mnras/stab3111

  77. [78]

    , keywords =

    Joint galaxy-galaxy lensing and clustering constraints on galaxy formation. , keywords =. doi:10.1093/mnras/staa2675 , archivePrefix =. 2007.01889 , primaryClass =

    work page doi:10.1093/mnras/staa2675 2007

  78. [79]

    , keywords =

    Characterizing the ELG luminosity functions in the nearby Universe. , keywords =. doi:10.1051/0004-6361/202346443 , archivePrefix =. 2303.11031 , primaryClass =

    work page doi:10.1051/0004-6361/202346443

  79. [80]

    , keywords =

    Validating the clustering predictions of empirical models with the FLAMINGO simulations. , keywords =. doi:10.1051/0004-6361/202451671 , archivePrefix =. 2407.18912 , primaryClass =

    work page doi:10.1051/0004-6361/202451671

  80. [81]

    The MillenniumTNG Project: high-precision predictions for matter clustering and halo statistics , volume=

    The MillenniumTNG Project: high-precision predictions for matter clustering and halo statistics. , keywords =. doi:10.1093/mnras/stad1657 , archivePrefix =. 2210.10059 , primaryClass =

    work page doi:10.1093/mnras/stad1657

Showing first 80 references.