Thousands of simulated Euclid spectroscopic skies

You can find here access to the simulations and galaxy mock catalogs that are presented and described in the paper Euclid Preparation. Simulating thousands of Euclid spectroscopic skies, EC: P. Monaco et al.

For any question please send me an email.

Simulation sets:

Name Number of
realisations
Box length N. Particles Smallest halo Light-cone area Starting redshift
Minerva-like 10000 1500 Mpc/h 10003 8.01 1012 Msun/h
(30 part.)
no no
NewClusterMocks 1000 3870 Mpc/h 21603 2.45 1013 Msun/h
(50 part.)
10313 deg2 z=2.5
Geppetto 3500 1200 Mpc/h 21603 1.52 1011 Msun/h
(10 part.)
2763 deg2 z=2
EulcidLargeBox 1000 3380 Mpc/h 61443 1.48 1011 Msun/h
(10 part.)
13572 deg2 z=4

Cosmologies:

Simulation set H0 Ωm ΩΛ Ωb σ8 ns flavour
Minerva-like 0.695 0.285 0.715 0.044 0.828 0.9632 ΛCDM
NewClusterMocks 0.6777 0.30711 0.69289 0.04825 0.8288 0.96 ΛCDM
Geppetto, EuclidLargeBox 0.67 0.32 0.68 0.049 0.83 0.96 ΛCDM

Halo light-cones: the main products that are provided here are the halo catalogs in the past light cone. Files are hosted at the VOSpace of Italian Center for Astronomical Archives @INAF. Simulations are grouped in directories that contain 100 realizations. Each realization contains the parameter file used to run that simulation, a log of the standard output of the run, a file giving information on the geometry of the light cone with respect to the simulation box, a few ascii files containing halo mass functions, and fits file containing the halo catalog on the past light cone (named pinocchio.[run name].plc.fits) and possibly halo catalogs at fixed redshift (pinocchio.[redshift].[run name].catalog.fits) and merger histories (pinocchio.[run name].histories.fits). While plc files are provided from the start, the other outputs are being slowly accumulated. In case of specific needs please email us.

Each halo light-cone is provided in a single fits file containing these fields:

To download the halo catalogs follow this link and navigate through the directory tree:

Files are stored in tapes, this means that they can not be directly downloaded. They first must be retrieved from the tape to a local storage, and this is done through an async recall that is triggered by following this procedure: select a file or a directory, then click on the "Actions" button that appears on top and ask for an "Async recall". The system will send to the user an email, communicating that the retrieval job has been queued, and a second email to say that the files are available. Once the files are retrieved from the tape, the user can download them with the browser, or with a wget; the list of retrieved file will be sent by email as an attachment. Please do not retrieve more than 100 simulations at a time.

INAF associates can access the facilities with their credentials (e.g. with their INAF-google email account). Those that do not have an INAF account should (1) connect through the "Login" button on the top right of the VOSpace page, using one of the credentials proposed (eduGAIN or google mail being preferred), (2) write to vospace.ia2@inaf.it specifying the account used for connecting and asking for permission to download the Euclid mocks. Without permission it is possible to queue a retieval job, but it will fail. Please find here a VOSpace user guide .


Galaxy catalogs: they represent Emission Line Galaxies (ELGs) with Hα line flux f>10-16 erg s-1 cm-2; this is half of the fiducial flux limit of the spectroscopic Euclid Wide Survey, to allow for more realistic selection criteria. Dark matter halos have been populated with a Halo Occupation Distribution (HOD) extracted from Euclid`s Flagship mock catalog, and calibrated so as to have the same clustering amplitude. The galaxy number density follows model 3 of Pozzetti et al. (2016).

Each catalog is provided in a single fits file containing these fields:

Shuffled fluxes: galaxy bias depends on luminosity, so galaxies with different selection functions are not expected to have the same clustering amplitude. For some tests it is useful to (artificially) remove this effect. This is done by binning galaxies in small redshift bins (of width 0.01) and shuffling fluxes among galaxies in the same bin. This way a different selection in flux corresponds to a sparse sampling, preserving the clustering level. Shuffled fluxes are provided for each catalog in the field sh_my_flux.

Available galaxy catalogs:

Mock set Realizations Radius of the footprint Light-cone area Starting redshift Replications Size of a single mock Total storage
Geppetto 3500 30 deg 2763 deg2 z=2 yes 1.6 GB 5.5 TB
EuclidLargeMocks 1000 30 deg 2763 deg2 z=3 no 3 GB 3 TB

To download galaxy catalogs: please follow the instructions below, the path starts with Mocks. We do also provide 50x random catalogs that follow the same average number density of the mock catalogs.

We expect that papers using these mocks will contain a proper acknowledgement and citations of the relevant PINOCCHIO papers.