GalICS V : Low and high order clustering in mock SDSS's
[Abridged] We use mock catalogues based on the GALICS model (Hatton et al. 03) to explore the nature of galaxy clustering observed in the SDSS. We measure low and high order angular clustering statistic from these mock catalogues, after selecting galaxies the same way as for observations, and compar...
| Main Authors: | , , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
2006
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| _version_ | 1797104120980570112 |
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| author | Blaizot, J Szapudi, I Colombi, S Budavari, T Bouchet, F Devriendt, J Guiderdoni, B Pan, J Szalay, A |
| author_facet | Blaizot, J Szapudi, I Colombi, S Budavari, T Bouchet, F Devriendt, J Guiderdoni, B Pan, J Szalay, A |
| author_sort | Blaizot, J |
| collection | OXFORD |
| description | [Abridged] We use mock catalogues based on the GALICS model (Hatton et al. 03) to explore the nature of galaxy clustering observed in the SDSS. We measure low and high order angular clustering statistic from these mock catalogues, after selecting galaxies the same way as for observations, and compare them directly to estimates from SDSS data. Note that we also present measurements of S3-S5 on the SDSS DR1. We find that our model is in general good agreement with observations in the scale/luminosity range where we can trust the predictions. This range is found to be limited (i) by the size of the dark matter simulation used -- which introduces finite volume effects at large scales -- and by the mass resolution of this simulation -- which introduces incompleteness at apparent magnitudes fainter than $r\sim 20$. We then focus on the small scale clustering properties of galaxies and investigate the behaviour of three different prescriptions for positioning galaxies within haloes of dark matter. We show that galaxies are poor tracers both of DM particles or DM sub-structures, within groups and clusters. Instead, SDSS data tells us that the distribution of galaxies lies somewhat in between these two populations. This confirms the general theoretical expectation from numerical simulations and semi-analytic modelling. |
| first_indexed | 2024-03-07T06:29:21Z |
| format | Journal article |
| id | oxford-uuid:f5707f7f-8083-4c99-96c0-6f306ddc629a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:29:21Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | oxford-uuid:f5707f7f-8083-4c99-96c0-6f306ddc629a2022-03-27T12:27:20ZGalICS V : Low and high order clustering in mock SDSS'sJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f5707f7f-8083-4c99-96c0-6f306ddc629aEnglishSymplectic Elements at Oxford2006Blaizot, JSzapudi, IColombi, SBudavari, TBouchet, FDevriendt, JGuiderdoni, BPan, JSzalay, A[Abridged] We use mock catalogues based on the GALICS model (Hatton et al. 03) to explore the nature of galaxy clustering observed in the SDSS. We measure low and high order angular clustering statistic from these mock catalogues, after selecting galaxies the same way as for observations, and compare them directly to estimates from SDSS data. Note that we also present measurements of S3-S5 on the SDSS DR1. We find that our model is in general good agreement with observations in the scale/luminosity range where we can trust the predictions. This range is found to be limited (i) by the size of the dark matter simulation used -- which introduces finite volume effects at large scales -- and by the mass resolution of this simulation -- which introduces incompleteness at apparent magnitudes fainter than $r\sim 20$. We then focus on the small scale clustering properties of galaxies and investigate the behaviour of three different prescriptions for positioning galaxies within haloes of dark matter. We show that galaxies are poor tracers both of DM particles or DM sub-structures, within groups and clusters. Instead, SDSS data tells us that the distribution of galaxies lies somewhat in between these two populations. This confirms the general theoretical expectation from numerical simulations and semi-analytic modelling. |
| spellingShingle | Blaizot, J Szapudi, I Colombi, S Budavari, T Bouchet, F Devriendt, J Guiderdoni, B Pan, J Szalay, A GalICS V : Low and high order clustering in mock SDSS's |
| title | GalICS V : Low and high order clustering in mock SDSS's |
| title_full | GalICS V : Low and high order clustering in mock SDSS's |
| title_fullStr | GalICS V : Low and high order clustering in mock SDSS's |
| title_full_unstemmed | GalICS V : Low and high order clustering in mock SDSS's |
| title_short | GalICS V : Low and high order clustering in mock SDSS's |
| title_sort | galics v low and high order clustering in mock sdss s |
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