The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The MICE grand challenge lightcone simulation – I. Dark matter clustering
Open accessAbstract
We present a new N-body simulation from the Marenostrum Institut de Ciències de l'Espai (MICE) collaboration, the MICE Grand Challenge (MICE-GC), containing about 70 billion dark matter particles in a (3 Gpc h−1)3 comoving volume. Given its large volume and fine spatial resolution, spanning over five orders of magnitude in dynamic range, it allows an accurate modelling of the growth of structure in the universe from the linear through the highly non-linear regime of gravitational clustering. We validate the dark matter simulation outputs using 3D and 2D clustering statistics, and discuss mass-resolution effects in the non-linear regime by comparing to previous simulations and the latest numerical fits. We show that the MICE-GC run allows for a measurement of the BAO feature with per cent level accuracy and compare it to state-of-the-art theoretical models. We also use sub-arcmin resolution pixelized 2D maps of the dark matter counts in the lightcone to make tomographic analyses in real and redshift space. Our analysis shows the simulation reproduces the Kaiser effect on large scales, whereas we find a significant suppression of power on non-linear scales relative to the real space clustering. We complete our validation by presenting an analysis of the three-point correlation function in this and previous MICE simulations, finding further evidence for mass-resolution effects. This is the first of a series of three papers in which we present the MICE-GC simulation, along with a wide and deep mock galaxy catalogue built from it. This mock is made publicly available through a dedicated web portal, http://cosmohub.pic.es.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The cosmological simulation code gadget-2
Springel, V. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09655.x · Cited by 6,368
Dunkley, J., Komatsu, E., Nolta, M. R., Spergel, D. N., Larson, D., Hinshaw, G., Page, L., Bennett, C. L., Gold, B., Jarosik, N., et al. (2009) · The Astrophysical Journal Supplement Series · doi:10.1088/0067-0049/180/2/306 · Cited by 1,787
Cited by
Heymans, C., Tröster, T., Asgari, M., Blake, C., Hildebrandt, H., Joachimi, B., Kuijken, K., Lin, C.-A., Sánchez, A. G., van den Busch, J. L., et al. (2021) · Astronomy & Astrophysics · doi:10.1051/0004-6361/202039063 · Cited by 772
Self-citationDark Energy Survey Year 1 results: Cosmological constraints from cosmic shear
Troxel, M. A., MacCrann, N., Zuntz, J., Eifler, T. F., Krause, E., Dodelson, S., Gruen, D., Blazek, J., Friedrich, O., Samuroff, S., et al. (2018) · Physical Review D · doi:10.1103/physrevd.98.043528 · Cited by 656
Self-citationA two per cent Hubble constant measurement from standard sirens within five years
Chen, H.-Y., Fishbach, M., & Holz, D. E. (2018) · Nature · doi:10.1038/s41586-018-0606-0 · Cited by 426
Simulating cosmic structure formation with the gadget-4 code
Springel, V., Pakmor, R., Zier, O., & Reinecke, M. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stab1855 · Cited by 422
Secco, L. F., Samuroff, S., Krause, E., Jain, B., Blazek, J., Raveri, M., Campos, A., Amon, A., Chen, A., Doux, C., et al. (2022) · Physical Review D · doi:10.1103/physrevd.105.023515 · Cited by 384
Self-citation
Metadata
- Authors
- Fosalba, P., Crocce, M., Gaztañaga, E., & Castander, F. J.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-03-05
- Volume
- 448
- Issue
- 4
- Pages
- 2987-3000
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W1980050709
- Cited by
- 227
- References
- 2
- FWCI
- 12.54
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The MICE grand challenge lightcone simulation – I. Dark matter clustering. https://app.cochat.ai/papers/10.1093/mnras/stv138
- The paper
- Fosalba, P., Crocce, M., Gaztañaga, E., & Castander, F. J. (2015). The MICE grand challenge lightcone simulation – I. Dark matter clustering. Monthly Notices of the Royal Astronomical Society. https://doi.org/10.1093/mnras/stv138
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.