Opendata, web and dolomites


Bias and Clustering Calculations Optimised: Maximising discovery with galaxy surveys

Total Cost €


EC-Contrib. €






Project "BACCO" data sheet

The following table provides information about the project.


Organization address
city: TERUEL
postcode: 44001

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 1˙484˙240 €
 EC max contribution 1˙484˙240 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2022-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

A new generation of galaxy surveys will soon start measuring the spatial distribution of millions of galaxies over a broad range of redshifts, offering an imminent opportunity to discover new physics. A detailed comparison of these measurements with theoretical models of galaxy clustering may reveal a new fundamental particle, a breakdown of General Relativity, or a hint on the nature of cosmic acceleration. Despite a large progress in the analytic treatment of structure formation in recent years, traditional clustering models still suffer from large uncertainties. This limits cosmological analyses to a very restricted range of scales and statistics, which will be one of the main obstacles to reach a comprehensive exploitation of future surveys.

Here I propose to develop a novel simulation--based approach to predict galaxy clustering. Combining recent advances in computational cosmology, from cosmological N--body calculations to physically-motivated galaxy formation models, I will develop a unified framework to directly predict the position and velocity of individual dark matter structures and galaxies as function of cosmological and astrophysical parameters. In this formulation, galaxy clustering will be a prediction of a set of physical assumptions in a given cosmological setting. The new theoretical framework will be flexible, accurate and fast: it will provide predictions for any clustering statistic, down to scales 100 times smaller than in state-of-the-art perturbation--theory--based models, and in less than 1 minute of CPU time. These advances will enable major improvements in future cosmological constraints, which will significantly increase the overall power of future surveys maximising our potential to discover new physics.


year authors and title journal last update
List of publications.
2019 Carlos M Correa, Dante J Paz, Nelson D Padilla, Andrés N Ruiz, Raúl E Angulo, Ariel G Sánchez
Non-fiducial cosmological test from geometrical and dynamical distortions around voids
published pages: 5761-5772, ISSN: 0035-8711, DOI: 10.1093/mnras/stz821
Monthly Notices of the Royal Astronomical Society 485/4 2020-01-30
2020 A Balaguera-Antolínez, Francisco-Shu Kitaura, M Pellejero-Ibáñez, Martha Lippich, Cheng Zhao, Ariel G Sánchez, Claudio Dalla Vecchia, Raúl E Angulo, Martín Crocce
One simulation to have them all: performance of the Bias Assignment Method against N-body simulations
published pages: , ISSN: 0035-8711, DOI: 10.1093/mnras/stz3206
Monthly Notices of the Royal Astronomical Society 2020-01-30
2019 N Padilla, S Contreras, I Zehavi, C M Baugh, P Norberg
The effect of assembly bias on redshift-space distortions
published pages: 582-595, ISSN: 0035-8711, DOI: 10.1093/mnras/stz824
Monthly Notices of the Royal Astronomical Society 486/1 2020-01-30
2019 S Contreras, I Zehavi, N Padilla, C M Baugh, E Jiménez, I Lacerna
The evolution of assembly bias
published pages: 1133-1148, ISSN: 0035-8711, DOI: 10.1093/mnras/stz018
Monthly Notices of the Royal Astronomical Society 484/1 2020-01-30
2019 Matteo Zennaro, Raúl E Angulo, Giovanni Aricò, Sergio Contreras, Marcos Pellejero-Ibáñez
How to add massive neutrinos to your ΛCDM simulation – extending cosmology rescaling algorithms
published pages: 5938-5951, ISSN: 0035-8711, DOI: 10.1093/mnras/stz2612
Monthly Notices of the Royal Astronomical Society 489/4 2020-01-30
2019 David Izquierdo-Villalba, Raul E. Angulo, Alvaro Orsi, Guillaume Hurier, Gonzalo Vilella-Rojo, Silvia Bonoli, Carlos López-Sanjuan, Jailson Alcaniz, Javier Cenarro, David Cristóbal-Hornillos, Renato Dupke, Alessandro Ederoclite, Carlos Hernández-Monteagudo, Antonio Marín-Franch, Mariano Moles, Claudia Mendes de Oliveira, Laerte Sodré, Jesús Varela, Héctor Vázquez Ramió
J-PLUS: Synthetic galaxy catalogues with emission lines for photometric surveys
published pages: A82, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201936232
Astronomy & Astrophysics 631 2020-01-30
2019 David Izquierdo-Villalba, Silvia Bonoli, Daniele Spinoso, Yetli Rosas-Guevara, Bruno M B Henriques, Carlos Hernández-Monteagudo
The build-up of pseudo-bulges in a hierarchical universe
published pages: 609-632, ISSN: 0035-8711, DOI: 10.1093/mnras/stz1694
Monthly Notices of the Royal Astronomical Society 488/1 2020-01-30
2019 Robert E Smith, Raul E Angulo
Precision modelling of the matter power spectrum in a Planck-like Universe
published pages: 1448-1479, ISSN: 0035-8711, DOI: 10.1093/mnras/stz890
Monthly Notices of the Royal Astronomical Society 486/1 2020-01-30
2018 M Celeste Artale, Idit Zehavi, Sergio Contreras, Peder Norberg
The impact of assembly bias on the halo occupation in hydrodynamical simulations
published pages: 3978-3992, ISSN: 0035-8711, DOI: 10.1093/mnras/sty2110
Monthly Notices of the Royal Astronomical Society 480/3 2019-04-14
2018 Malin Renneby, Stefan Hilbert, Raúl E Angulo
Halo mass and weak galaxy-galaxy lensing profiles in rescaled cosmological N-body simulations
published pages: , ISSN: 0035-8711, DOI: 10.1093/mnras/sty1332
Monthly Notices of the Royal Astronomical Society 2019-04-14
2018 G. Hurier, R. E. Angulo
Measuring the hydrostatic mass bias in galaxy clusters by combining Sunyaev–Zel’dovich and CMB lensing data
published pages: L4, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201731999
Astronomy & Astrophysics 610 2019-04-14

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BACCO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BACCO" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

NanoPD_P (2020)

High throughput multiplexed trace-analyte screening for diagnostics applications

Read More  


Dynamic Modeling of Labor Market Mobility and Human Capital Accumulation

Read More  

SPA4AstroQIT (2019)

Broadband Quantum-Limited Parametric Amplifier for Astronomy and Quantum Information Technology

Read More