SEVN parameter file from the paper "Binary neutron star populations in the Milky Way" by Sgalletta et al., 2023 Article Swipe

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Cecilia Sgalletta , Giuliano Iorio , Michela Mapelli , M. Artale Celeste , Lumen Boco , Debatri Chattopadhyay , Andrea Lapi , Andrea Possenti , S. Rinaldi , Mario Spera ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.5281/zenodo.7887278

The repository contains the runtime parameters used in the SEVN simulations analysed in the paper "Binary neutron star populations in the Milky Way" by Sgalletta et al., 2023. Repository content: - used_params_Sgalletta2023.txt The file contains all the runtime parameters used in the SEVN simulations. The parameters that have been varied in different runs are indicated with **** and the explored values are reported in the comment. See the SEVN userguide (https://gitlab.com/sevncodes/sevn/-/blob/SEVN/resources/SEVN_userguide.pdf) for the description of each parameter

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Milky Way Neutron star Astrophysics Binary number Star (game theory) Physics Galaxy Mathematics Arithmetic

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Type: dataset
Language: en
Landing Page: https://doi.org/10.5281/zenodo.7887278
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4393780311

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OpenAlex ID: https://openalex.org/W4393780311

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DOI: https://doi.org/10.5281/zenodo.7887278

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Title: SEVN parameter file from the paper "Binary neutron star populations in the Milky Way" by Sgalletta et al., 2023

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Type: dataset

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Language: en

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Publication year: 2023

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Publication date: 2023-05-02

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Authors: Cecilia Sgalletta, Giuliano Iorio, Michela Mapelli, M. Artale Celeste, Lumen Boco, Debatri Chattopadhyay, Andrea Lapi, Andrea Possenti, S. Rinaldi, Mario Spera

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Landing page: https://doi.org/10.5281/zenodo.7887278

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Open access: Yes

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Concepts: Milky Way, Neutron star, Astrophysics, Binary number, Star (game theory), Physics, Galaxy, Mathematics, Arithmetic

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Cited by: 0

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abstract_inverted_index.different	52
abstract_inverted_index.indicated	55
abstract_inverted_index.parameter	77
abstract_inverted_index.userguide	70
abstract_inverted_index.parameters	5, 39, 46
abstract_inverted_index.repository	1
abstract_inverted_index.description	74
abstract_inverted_index.populations	18
abstract_inverted_index.simulations	10
abstract_inverted_index.simulations.	44
abstract_inverted_index.<strong>Repository	28
abstract_inverted_index.<em>used_params_Sgalletta2023.txt<br>	32
abstract_inverted_index.(https://gitlab.com/sevncodes/sevn/-/blob/SEVN/resources/SEVN_userguide.pdf)	71
cited_by_percentile_year
countries_distinct_count	3
institutions_distinct_count	10
citation_normalized_percentile