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The MICE Grand Challenge Lightcone Simulation II: Halo and Galaxy catalogues

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M. Crocce, F. J. Castander, E. Gaztanaga, P. Fosalba, J. Carretero

Cosmology and Nongalactic Astrophysics · Submitted 6 Dec 2013

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We find a characteristic scale dependent bias of $\lesssim 6\%$ across the BAO feature for halos well above $M_{\star}\sim 10^{12}\,h^{-1}\,{\rm M_{\odot}}$ and for LRG like galaxies.

how it is stated · asserted 1.00 read the record →

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arXiv ID1312.2013 (version 2)
Pith IDOSTIP7T7, Pith's permanent record of this paper and its review
CitationE. Gaztanaga, F. J. Castander, J. Carretero, M. Crocce, P. Fosalba. "The MICE Grand Challenge Lightcone Simulation II: Halo and Galaxy catalogues." arXiv:1312.2013 (2013). https://pith.science/paper/OSTIP7T7
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 9,767 input tokens, $0.0004 reported.

What the abstract itself states, as probabilities: claims first 0.02 · states limitation 0.93 · human participants 0.01 · controlled comparison 0.05 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.21 · mentions code or data availability 0.97.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

This is the second in a series of three papers in which we present an end-to-end simulation from the MICE collaboration, the MICE Grand Challenge (MICE-GC) run. The N-body contains about 70 billion dark-matter particles in a $(3 \, h^{-1} \, {\rm Gpc})^3$ comoving volume spanning 5 orders of magnitude in dynamical range. Here we introduce the halo and galaxy catalogues built upon it, both in a wide ($5000 \,{\rm deg}^2$) and deep ($z<1.4$) light-cone and in several comoving snapshots. Halos were resolved down to few $10^{11} \,h^{-1}\,{\rm M_{\odot}}$. This allowed us to model galaxies down to absolute magnitude M$_r<-18.9$. We used a new hybrid Halo Occupation Distribution and Abundance Matching technique for galaxy assignment. The catalogue includes the Spectral Energy Distributions of all galaxies. We describe a variety of halo and galaxy clustering applications. We discuss how mass resolution effects can bias the large scale $2$-pt clustering amplitude of poorly resolved halos at the $\lesssim 5\%$ level, and their $3$-pt correlation function. We find a characteristic scale dependent bias of $\lesssim 6\%$ across the BAO feature for halos well above $M_{\star}\sim 10^{12}\,h^{-1}\,{\rm M_{\odot}}$ and for LRG like galaxies. For halos well below $M_{\star}$ the scale dependence at $100\,{\rm Mpc} h^{-1}$ is $\lesssim 2\%$. Lastly we discuss the validity of the large-scale Kaiser limit across redshift and departures from it towards nonlinear scales. We make the current version of the light-cone halo and galaxy catalogue (MICECATv1.0) publicly available through a dedicated web portal, http://cosmohub.pic.es, to help develop and exploit the new generation of astronomical surveys.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This is the second in a series of three papers in which we present an end-to-end simulation from the MICE collaboration, the MICE Grand Challenge (MICE-GC) run. background 0.90 0.54 0.02 asserted 0.99
s1 The N-body contains about 70 billion dark-matter particles in a $(3 \, h^{-1} \, {\rm Gpc})^3$ comoving volume spanning 5 orders of magnitude in dynamical range. method 0.87 0.76 0.03 asserted 1.00
s2 Here we introduce the halo and galaxy catalogues built upon it, both in a wide ($5000 \,{\rm deg}^2$) and deep ($z<1.4$) light-cone and in several comoving snapshots. contribution 0.99 0.92 0.06 asserted 1.00
s3 Halos were resolved down to few $10^{11} \,h^{-1}\,{\rm M_{\odot}}$. method 0.40 0.81 0.03 asserted 1.00
s4 This allowed us to model galaxies down to absolute magnitude M$_r<-18.9$. result 0.54 0.92 0.06 asserted 1.00
s5 We used a new hybrid Halo Occupation Distribution and Abundance Matching technique for galaxy assignment. method 0.96 0.94 0.04 asserted 1.00
s6 The catalogue includes the Spectral Energy Distributions of all galaxies. contribution 0.98 0.88 0.04 asserted 1.00
s7 We describe a variety of halo and galaxy clustering applications. contribution 1.00 0.88 0.05 asserted 0.77
s8 We discuss how mass resolution effects can bias the large scale $2$-pt clustering amplitude of poorly resolved halos at the $\lesssim 5\%$ level, and their $3$-pt correlation function. result 0.61 0.85 0.11 hedged possibility 0.60
s9 We find a characteristic scale dependent bias of $\lesssim 6\%$ across the BAO feature for halos well above $M_{\star}\sim 10^{12}\,h^{-1}\,{\rm M_{\odot}}$ and for LRG like galaxies. result 1.00 0.96 0.16 asserted 1.00
s10 For halos well below $M_{\star}$ the scale dependence at $100\,{\rm Mpc} h^{-1}$ is $\lesssim 2\%$. result 1.00 0.94 0.07 asserted 0.99
s11 Lastly we discuss the validity of the large-scale Kaiser limit across redshift and departures from it towards nonlinear scales. contribution 0.85 0.68 0.07 unclear 0.73
s12 We make the current version of the light-cone halo and galaxy catalogue (MICECATv1.0) publicly available through a dedicated web portal, http://cosmohub.pic.es, to help develop and exploit the new generation of astronomical surveys. contribution 0.89 0.92 0.08 asserted 1.00

What kind of paper the classifier reports this is: dataset or benchmark 0.94 · evidence from simulation or computation 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v2
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This is the second in a series of three papers in which we present an end-to-end simulation from the MICE collaboration, the MICE Grand Challenge (MICE-GC) run. The N-body contains about 70 billion dark-matter particles in a $(3 \, h^{-1} \, {\rm Gpc})^3$ comoving volume spanning 5 orders of magnitude in dynamical range. Here we introduce the halo and galaxy catalogues built upon it, both in a wide ($5000 \,{\rm deg}^2$) and deep ($z<1.4$) light-cone and in several comoving snapshots. Halos were resolved down to few $10^{11} \,h^{-1}\,{\rm M_{\odot}}$. This allowed us to model galaxies down to absolute magnitude M$_r<-18.9$. We used a new hybrid Halo Occupation Distribution and Abundance Matching technique for galaxy assignment. The catalogue includes the Spectral Energy Distributions of all galaxies. We describe a variety of halo and galaxy clustering applications. We discuss how mass resolution effects can bias the large scale $2$-pt clustering amplitude of poorly resolved halos at the $\lesssim 5\%$ level, and their $3$-pt correlation function. We find a characteristic scale dependent bias of $\lesssim 6\%$ across the BAO feature for halos well above $M_{\star}\sim 10^{12}\,h^{-1}\,{\rm M_{\odot}}$ and for LRG like galaxies. For halos well below $M_{\star}$ the scale dependence at $100\,{\rm Mpc} h^{-1}$ is $\lesssim 2\%$. Lastly we discuss the validity of the large-scale Kaiser limit across redshift and departures from it towards nonlinear scales. We make the current version of the light-cone halo and galaxy catalogue (MICECATv1.0) publicly available through a dedicated web portal, http://cosmohub.pic.es, to help develop and exploit the new generation of astronomical surveys.

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References
How later papers used it

83 later papers cite it

Evidence: substantial. 41 of the citing papers share no author with it, and 15 of those carry a confident label from Pith's citation classifier.

Pith read 16 of the 111 citing sentences, choosing only those whose citation markers point at this paper alone, and wrote the paraphrases from them. The summary, the counts, the evidence level, the links and the quotes come from code; the summary counts the papers listed below. A later paper is listed under a label when Pith's citation classifier gives one of its sentences that label at probability 0.8 or more (0.95 for support), Pith's reading finds that the citing paper itself did it, and a second check confirms the paraphrase against the sentence. This section lists uses only. It does not list criticism or disagreement, so their absence here says nothing about how the paper has been received. Papers that share an author with this one are listed apart, under "By the same authors". A quote is the citing authors' own sentence, shown when their paper's licence is CC BY, CC BY-SA or CC0. JSON

Uses its data or values 2 of 20 papers with this label · 1 by the same authors

  • Used the MICE Grand Challenge light cone N-body simulation to demonstrate the power of the estimator in a light cone.

    New Probes of Large Scale Structure (2020) · 0.91 · paraphrased: the licence does not allow quoting

By the same authors

How the literature uses it

18 arXiv papers cite this in 29 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 21 sentences without a confident label

Uses its method or tool 1 paper
Uses its data or values 4 papers
Cites it as support 1 paper
Cites it as background 1 paper

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