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Dataset supporting the University of Southampton Doctoral thesis: Shining lights, even in death: Modelling the optical and ultraviolet emission from tidal disruption events

Dataset supporting the University of Southampton Doctoral thesis: Shining lights, even in death: Modelling the optical and ultraviolet emission from tidal disruption events
Dataset supporting the University of Southampton Doctoral thesis: Shining lights, even in death: Modelling the optical and ultraviolet emission from tidal disruption events
This dataset contains: Provided in the data set are the parameter file required to run the simulations yourself, as well as the raw data that was output from the simulation software. This includes the synthetic spectra (.spec, .log_spec, .spec_tot, etc) and tables of wind variables in ASCII format. In some cases scripts have been provided to re-generate figures created for the thesis using the data provided in this repository. Additional software will be required in some cases to use these script, which can be found at https://github.com/saultyevil/pypython and https://github.com/agnwinds/python.
University of Southampton
Parkinson, Edward, John
2e087f5f-41c4-4cbb-9e9c-83c64f9add76
Parkinson, Edward, John
2e087f5f-41c4-4cbb-9e9c-83c64f9add76

Parkinson, Edward, John (2022) Dataset supporting the University of Southampton Doctoral thesis: Shining lights, even in death: Modelling the optical and ultraviolet emission from tidal disruption events. University of Southampton doi:10.5258/SOTON/D2201 [Dataset]

Record type: Dataset

Abstract

This dataset contains: Provided in the data set are the parameter file required to run the simulations yourself, as well as the raw data that was output from the simulation software. This includes the synthetic spectra (.spec, .log_spec, .spec_tot, etc) and tables of wind variables in ASCII format. In some cases scripts have been provided to re-generate figures created for the thesis using the data provided in this repository. Additional software will be required in some cases to use these script, which can be found at https://github.com/saultyevil/pypython and https://github.com/agnwinds/python.

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Published date: 3 May 2022
Related URLs:

Identifiers

Local EPrints ID: 473021
URI: http://eprints.soton.ac.uk/id/eprint/473021
DOI: doi:10.5258/SOTON/D2201
PURE UUID: 1e7e49f8-c30b-469a-971b-4a9a63f3bd4f
ORCID for Edward, John Parkinson: ORCID iD orcid.org/0000-0003-3902-052X

Catalogue record

Date deposited: 09 Jan 2023 17:38
Last modified: 05 May 2023 19:36

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Contributors

Creator: Edward, John Parkinson ORCID iD

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