HALOGEN: A tool for fast generation of mock halo catalogues
© 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. We present a simple method of generating approximate synthetic halo catalogues: HALOGEN. This method uses a combination of second-order Lagrangian Perturbation Theory (2LPT) in order to generate the...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
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Oxford University Press
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/55842 |
| _version_ | 1848759721817800704 |
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| author | Avila, S. Murray, Steven Knebe, A. Power, C. Robotham, A. Garcia-Bellido, J. |
| author_facet | Avila, S. Murray, Steven Knebe, A. Power, C. Robotham, A. Garcia-Bellido, J. |
| author_sort | Avila, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. We present a simple method of generating approximate synthetic halo catalogues: HALOGEN. This method uses a combination of second-order Lagrangian Perturbation Theory (2LPT) in order to generate the large-scale matter distribution, analytical mass functions to generate halo masses, and a single-parameter stochastic model for halo bias to position haloes. HALOGEN represents a simplification of similar recently published methods. Our method is constrained to recover the two-point function at intermediate (10 h < sup > -1 < /sup > Mpc < r < 50 h < sup > -1 < /sup > Mpc) scales, which we show is successful to within 2 per cent. Larger scales (~100 h < sup > -1 < /sup > Mpc) are reproduced to within 15 per cent. We compare several other statistics (e.g. power spectrum, point distribution function, redshift space distortions) with results from N-body simulations to determine the validity of our method for different purposes. One of the benefits of HALOGEN is its flexibility, and we demonstrate this by showing how it can be adapted to varying cosmologies and simulation specifications. A driving motivation for the development of such approximate schemes is the need to compute covariance matrices and study the systematic errors for large galaxy surveys, which requires thousands of simulated realizations. We discuss the applicability of our method in this context, and conclude that it is well suited tomass production of appropriate halo catalogues. The code is publicly available at <a href="https://github.com/savila/halogen">https://github.com/savila/halogen</a>. |
| first_indexed | 2025-11-14T10:04:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-55842 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:04:23Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-558422018-03-29T09:09:01Z HALOGEN: A tool for fast generation of mock halo catalogues Avila, S. Murray, Steven Knebe, A. Power, C. Robotham, A. Garcia-Bellido, J. © 2015 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. We present a simple method of generating approximate synthetic halo catalogues: HALOGEN. This method uses a combination of second-order Lagrangian Perturbation Theory (2LPT) in order to generate the large-scale matter distribution, analytical mass functions to generate halo masses, and a single-parameter stochastic model for halo bias to position haloes. HALOGEN represents a simplification of similar recently published methods. Our method is constrained to recover the two-point function at intermediate (10 h < sup > -1 < /sup > Mpc < r < 50 h < sup > -1 < /sup > Mpc) scales, which we show is successful to within 2 per cent. Larger scales (~100 h < sup > -1 < /sup > Mpc) are reproduced to within 15 per cent. We compare several other statistics (e.g. power spectrum, point distribution function, redshift space distortions) with results from N-body simulations to determine the validity of our method for different purposes. One of the benefits of HALOGEN is its flexibility, and we demonstrate this by showing how it can be adapted to varying cosmologies and simulation specifications. A driving motivation for the development of such approximate schemes is the need to compute covariance matrices and study the systematic errors for large galaxy surveys, which requires thousands of simulated realizations. We discuss the applicability of our method in this context, and conclude that it is well suited tomass production of appropriate halo catalogues. The code is publicly available at <a href="https://github.com/savila/halogen">https://github.com/savila/halogen</a>. 2015 Journal Article http://hdl.handle.net/20.500.11937/55842 10.1093/mnras/stv711 Oxford University Press restricted |
| spellingShingle | Avila, S. Murray, Steven Knebe, A. Power, C. Robotham, A. Garcia-Bellido, J. HALOGEN: A tool for fast generation of mock halo catalogues |
| title | HALOGEN: A tool for fast generation of mock halo catalogues |
| title_full | HALOGEN: A tool for fast generation of mock halo catalogues |
| title_fullStr | HALOGEN: A tool for fast generation of mock halo catalogues |
| title_full_unstemmed | HALOGEN: A tool for fast generation of mock halo catalogues |
| title_short | HALOGEN: A tool for fast generation of mock halo catalogues |
| title_sort | halogen: a tool for fast generation of mock halo catalogues |
| url | http://hdl.handle.net/20.500.11937/55842 |