nIFTy cosmology: comparison of galaxy formation models
We present a comparison of 14 galaxy formation models: 12 different semi-analytical models and 2 halo occupation distribution models for galaxy formation based upon the same cosmological simulation and merger tree information derived from it. The participating codes have proven to be very successful...
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| Format: | Article |
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Oxford University Press
2015
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| Online Access: | https://eprints.nottingham.ac.uk/42493/ |
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| author | Knebe, Alexander Pearce, Frazer R. Thomas, Peter A. Benson, Andrew Blaizot, Jeremy Bower, Richard Carretero, Jorge Castander, Francisco J. Cattaneo, Andrea Cora, Sofia A. Croton, Darren J. Cui, Weiguang Cunnama, Daniel De Lucia, Gabriella Devriendt, Julien E. Elahi, Pascal Jahan Font, Andreea Fontanot, Fabio Garcia-Bellido, Juan Gargiulo, Ignacio D. Gonzalez-Perez, Violeta Helly, John Henriques, Bruno Hirschmann, Michaela Lee, Jaehyun Mamon, Gary A. Monaco, Pierluigi Onions, Julian Padilla, Nelson D. Power, Chris Pujol, Arnau Skibba, R.A. Somerville, Rachel S. Srisawat, Chaichalit Vega-Martínez, Cristian A. Yi, Sukyoung K. |
| author_facet | Knebe, Alexander Pearce, Frazer R. Thomas, Peter A. Benson, Andrew Blaizot, Jeremy Bower, Richard Carretero, Jorge Castander, Francisco J. Cattaneo, Andrea Cora, Sofia A. Croton, Darren J. Cui, Weiguang Cunnama, Daniel De Lucia, Gabriella Devriendt, Julien E. Elahi, Pascal Jahan Font, Andreea Fontanot, Fabio Garcia-Bellido, Juan Gargiulo, Ignacio D. Gonzalez-Perez, Violeta Helly, John Henriques, Bruno Hirschmann, Michaela Lee, Jaehyun Mamon, Gary A. Monaco, Pierluigi Onions, Julian Padilla, Nelson D. Power, Chris Pujol, Arnau Skibba, R.A. Somerville, Rachel S. Srisawat, Chaichalit Vega-Martínez, Cristian A. Yi, Sukyoung K. |
| author_sort | Knebe, Alexander |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | We present a comparison of 14 galaxy formation models: 12 different semi-analytical models and 2 halo occupation distribution models for galaxy formation based upon the same cosmological simulation and merger tree information derived from it. The participating codes have proven to be very successful in their own right but they have all been calibrated independently using various observational data sets, stellar models, and merger trees. In this paper, we apply them without recalibration and this leads to a wide variety of predictions for the stellar mass function, specific star formation rates, stellar-to-halo mass ratios, and the abundance of orphan galaxies. The scatter is much larger than seen in previous comparison studies primarily because the codes have been used outside of their native environment within which they are well tested and calibrated. The purpose of the ‘nIFTy comparison of galaxy formation models’ is to bring together as many different galaxy formation modellers as possible and to investigate a common approach to model calibration. This paper provides a unified description for all participating models and presents the initial, uncalibrated comparison as a baseline for our future studies where we will develop a common calibration framework and address the extent to which that reduces the scatter in the model predictions seen here. |
| first_indexed | 2025-11-14T19:48:57Z |
| format | Article |
| id | nottingham-42493 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:48:57Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-424932020-05-04T17:09:36Z https://eprints.nottingham.ac.uk/42493/ nIFTy cosmology: comparison of galaxy formation models Knebe, Alexander Pearce, Frazer R. Thomas, Peter A. Benson, Andrew Blaizot, Jeremy Bower, Richard Carretero, Jorge Castander, Francisco J. Cattaneo, Andrea Cora, Sofia A. Croton, Darren J. Cui, Weiguang Cunnama, Daniel De Lucia, Gabriella Devriendt, Julien E. Elahi, Pascal Jahan Font, Andreea Fontanot, Fabio Garcia-Bellido, Juan Gargiulo, Ignacio D. Gonzalez-Perez, Violeta Helly, John Henriques, Bruno Hirschmann, Michaela Lee, Jaehyun Mamon, Gary A. Monaco, Pierluigi Onions, Julian Padilla, Nelson D. Power, Chris Pujol, Arnau Skibba, R.A. Somerville, Rachel S. Srisawat, Chaichalit Vega-Martínez, Cristian A. Yi, Sukyoung K. We present a comparison of 14 galaxy formation models: 12 different semi-analytical models and 2 halo occupation distribution models for galaxy formation based upon the same cosmological simulation and merger tree information derived from it. The participating codes have proven to be very successful in their own right but they have all been calibrated independently using various observational data sets, stellar models, and merger trees. In this paper, we apply them without recalibration and this leads to a wide variety of predictions for the stellar mass function, specific star formation rates, stellar-to-halo mass ratios, and the abundance of orphan galaxies. The scatter is much larger than seen in previous comparison studies primarily because the codes have been used outside of their native environment within which they are well tested and calibrated. The purpose of the ‘nIFTy comparison of galaxy formation models’ is to bring together as many different galaxy formation modellers as possible and to investigate a common approach to model calibration. This paper provides a unified description for all participating models and presents the initial, uncalibrated comparison as a baseline for our future studies where we will develop a common calibration framework and address the extent to which that reduces the scatter in the model predictions seen here. Oxford University Press 2015-06-30 Article PeerReviewed Knebe, Alexander, Pearce, Frazer R., Thomas, Peter A., Benson, Andrew, Blaizot, Jeremy, Bower, Richard, Carretero, Jorge, Castander, Francisco J., Cattaneo, Andrea, Cora, Sofia A., Croton, Darren J., Cui, Weiguang, Cunnama, Daniel, De Lucia, Gabriella, Devriendt, Julien E., Elahi, Pascal Jahan, Font, Andreea, Fontanot, Fabio, Garcia-Bellido, Juan, Gargiulo, Ignacio D., Gonzalez-Perez, Violeta, Helly, John, Henriques, Bruno, Hirschmann, Michaela, Lee, Jaehyun, Mamon, Gary A., Monaco, Pierluigi, Onions, Julian, Padilla, Nelson D., Power, Chris, Pujol, Arnau, Skibba, R.A., Somerville, Rachel S., Srisawat, Chaichalit, Vega-Martínez, Cristian A. and Yi, Sukyoung K. (2015) nIFTy cosmology: comparison of galaxy formation models. Monthly Notices of the Royal Astronomical Society, 451 (4). pp. 4029-4059. ISSN 1365-2966 methods: analytical – methods: numerical – galaxies: evolution – galaxies: haloes – cosmology: theory – dark matter https://academic.oup.com/mnras/article-lookup/doi/10.1093/mnras/stv1149 doi:10.1093/mnras/stv1149 doi:10.1093/mnras/stv1149 |
| spellingShingle | methods: analytical – methods: numerical – galaxies: evolution – galaxies: haloes – cosmology: theory – dark matter Knebe, Alexander Pearce, Frazer R. Thomas, Peter A. Benson, Andrew Blaizot, Jeremy Bower, Richard Carretero, Jorge Castander, Francisco J. Cattaneo, Andrea Cora, Sofia A. Croton, Darren J. Cui, Weiguang Cunnama, Daniel De Lucia, Gabriella Devriendt, Julien E. Elahi, Pascal Jahan Font, Andreea Fontanot, Fabio Garcia-Bellido, Juan Gargiulo, Ignacio D. Gonzalez-Perez, Violeta Helly, John Henriques, Bruno Hirschmann, Michaela Lee, Jaehyun Mamon, Gary A. Monaco, Pierluigi Onions, Julian Padilla, Nelson D. Power, Chris Pujol, Arnau Skibba, R.A. Somerville, Rachel S. Srisawat, Chaichalit Vega-Martínez, Cristian A. Yi, Sukyoung K. nIFTy cosmology: comparison of galaxy formation models |
| title | nIFTy cosmology: comparison of galaxy formation models |
| title_full | nIFTy cosmology: comparison of galaxy formation models |
| title_fullStr | nIFTy cosmology: comparison of galaxy formation models |
| title_full_unstemmed | nIFTy cosmology: comparison of galaxy formation models |
| title_short | nIFTy cosmology: comparison of galaxy formation models |
| title_sort | nifty cosmology: comparison of galaxy formation models |
| topic | methods: analytical – methods: numerical – galaxies: evolution – galaxies: haloes – cosmology: theory – dark matter |
| url | https://eprints.nottingham.ac.uk/42493/ https://eprints.nottingham.ac.uk/42493/ https://eprints.nottingham.ac.uk/42493/ |