Published November 8, 2021
| Version v02.21.00
Dataset
Open
Dataset from: Rapid stellar and binary population synthesis with COMPAS
Authors/Creators
- COMPAS, Team
- Riley, Jeff1
- Agrawal, Poojan2
- Barrett, Jim W.3
- Boyett, Kristan N. K.4
- Broekgaarden, Floor S.5
- Chattopadhyay, Debatri2
- Gaebel, Sebastian M.6
- Gittins, Fabian7
- Hirai, Ryosuke1
- Howitt, George8
- Justham, Stephen9
- Khandelwal, Lokesh10
- Kummer, Floris10
- Lau, Mike Y. M.1
- Mandel, Ilya1
- de Mink, Selma E.11
- Neijssel, Coenraad3
- Riley, Tim1
- van Son, Lieke5
- Stevenson, Simon2
- Vigna-Gomez, Alejandro12
- Vinciguerra, Serena10
- Wagg, Tom5
- Willcox, Reinhold1
- 1. School of Physics and Astronomy, Monash University, Clayton, Victoria 3800, Australia
- 2. Centre for Astrophysics and Supercomputing, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
- 3. Institute of Gravitational Wave Astronomy and School of Physics and Astronomy, University of Birmingham, Birmingham, B15 2TT, United Kingdom
- 4. Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford OX1 3RH, UK
- 5. Center for Astrophysics \textbar{} Harvard $\&$ Smithsonian, 60 Garden St., Cambridge, MA 02138, USA
- 6. Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Callinstrasse 38, D-30167 Hannover, Germany
- 7. Mathematical Sciences and STAG Research Centre, University of Southampton, Southampton SO17 1BJ, UK
- 8. \affiliation{School of Physics, University of Melbourne, Parkville, Victoria, 3010, Australia
- 9. School of Astronomy \& Space Science, University of the Chinese Academy of Sciences, Beijing 100012, China
- 10. Anton Pannekoek Institute of Astronomy and GRAPPA, Science Park 904, University of Amsterdam, 1098XH Amsterdam, The Netherlands
- 11. Max Planck Institute for Astrophysics, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany
- 12. DARK, Niels Bohr Institute, University of Copenhagen, Jagtvej 128, 2200, Copenhagen, Denmark
Description
This data set is used to produce Figure 16 of the COMPAS Paper (Team COMPAS et al. 2021).
The file contains the output of 10,000,000 binaries evolved using COMPAS v02.21.00, using adaptive importance sampling (STROOPWAFEL) , sampling from a metallicity uniform in \(\log(Z) \in [10^{-4},0.03]\). More details can be found in the `Run_Details` group.
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Contents
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- COMPAS simulation output:
The hdf5 file Includes necessary information about the simulated binaries in the following groups:
BSE_Double_Compact_Objects
BSE_Common_Envelopes
BSE_RLOF
BSE_Supernovae
BSE_System_Parameters
Run_Details
We point the reader to the documentation at https://compas.science/docs, for information and instructions regarding the contained data.
- Rate Data
The hdf5 file contains 1 groups with BBH merger rate data for every BBH with an inspiral time that is smaller than the age of the Universe. This group contains a dataset "DCOmask" which can be used to point from the "DoubleCompactObjects" to the data contained in the respective rates datasets.
We include the rates for one realization of the metallicity-dependent SFRD as discussed in the manuscript.
The metallicity-dependent SFRD used is the phenomenological metallicity-dependent SFRD as described in Neijssel et al. 2019, this contained in:
'Rates_mu00.035_muz-0.23_alpha0.0_sigma00.39_sigmaz0.0'
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The rates were calculated by running ```FastCosmicIntegration.py``` from COMPAS's post-processing tools.
For a more detailed explanation of the workings of COMPAS's post-processing tools, please the docs https://compas.science/docs
Files
Files
(10.2 GB)
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md5:34e25cc7be60a1b874e39d12c73f840e
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10.2 GB | Download |