SIMBAD references

2018MNRAS.475.4170A - Mon. Not. R. Astron. Soc., 475, 4170-4185 (2018/April-2)

COCOA code for creating mock observations of star cluster models.

ASKAR A., GIERSZ M., PYCH W. and DALESSANDRO E.

Abstract (from CDS):

We introduce and present results from the COCOA (Cluster simulatiOn Comparison with ObservAtions) code that has been developed to create idealized mock photometric observations using results from numerical simulations of star cluster evolution. COCOA is able to present the output of realistic numerical simulations of star clusters carried out using Monte Carlo or N-body codes in a way that is useful for direct comparison with photometric observations. In this paper, we describe the COCOA code and demonstrate its different applications by utilizing globular cluster (GC) models simulated with the MOCCA (MOnte Carlo Cluster simulAtor) code. COCOA is used to synthetically observe these different GC models with optical telescopes, perform point spread function photometry, and subsequently produce observed colour-magnitude diagrams. We also use COCOA to compare the results from synthetic observations of a cluster model that has the same age and metallicity as the Galactic GC NGC 2808 with observations of the same cluster carried out with a 2.2 m optical telescope. We find that COCOA can effectively simulate realistic observations and recover photometric data. COCOA has numerous scientific applications that maybe be helpful for both theoreticians and observers that work on star clusters. Plans for further improving and developing the code are also discussed in this paper.

Abstract Copyright: © 2018 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society

Journal keyword(s): methods: numerical - methods: observational - techniques: photometric - globular clusters: general - galaxies: star clusters: general

Simbad objects: 2

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2018MNRAS.475.4170A and select 'bookmark this link' or equivalent in the popup menu