Published January 10, 2017 | Version v1
Dataset Open

A modular set of synthetic spectral energy distributions for young stellar objects - Robitaille (2017) - v1.1

Description

These are the models released with the following publication:

A modular set of synthetic spectral energy distributions for young stellar objects, Robitaille (2017)

A companion repository is available on GitHub:

https://github.com/hyperion-rt/paper-2017-sed-models

In particular, a notebook is provided, demonstrating how the models here can be used:

https://github.com/hyperion-rt/paper-2017-sed-models/blob/master/notebook/using_the_models.ipynb

Note: the files here do not include polarization results, nor do they include the SEDs split by components (e.g. scattered versus direct light). The raw Hyperion output files which contain this information will be made available at a later date, and a link will be provided here.

For announcements of new versions of these models, you can subscribe to the following mailing list:

https://groups.google.com/forum/#!forum/protostars

For questions or issues using these models, you can open a GitHub issue in the companion repository:

https://github.com/hyperion-rt/paper-2017-sed-models/issues/new

MacOS X users: there is a bug in the bundled version of tar in MacOS X that causes issues when expanding some of the largest files here (this results in the flux.fits file being empty). To avoid this, you can use the GNU tar version which can be installed e.g. with Homebrew using brew install gnu-tar then using the gtar command instead of tar.

Files

Files (34.8 GB)

Name Size Download all
md5:80d83cc7f8fbf12f6699a22fc8c84523
29.3 MB Download
md5:23497106eeca529c453d32cef2e92e7e
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md5:062b34bd07e17c27d5e7941fdc931927
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md5:1e855b9f99c8dbf15c045fa7393cd8e7
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md5:0c639e738c46b7403f2f8e5d908b9317
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md5:c89a3e71fee9d74b1711a0493cccb6c6
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md5:c72801e2407e6a3a99ec61282fe701ca
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md5:d0d009b355fcc189ffe687f79849e832
1.6 GB Download
md5:44e13b9bb47d29bc43b0d589bad4379a
664.3 MB Download
md5:6c7a463c8663acacf84c0a7be91a6a0d
1.7 GB Download
md5:70db1eee4e70e9ec7be040d9f2e14a73
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md5:b292534ef391ea688797641bce3f774a
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md5:5afba6e53ac963bd37161daf508703f7
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md5:8c5fe62564cda1bda8548ef992153850
6.3 GB Download

Additional details

Related works

Is referenced by
10.1051/0004-6361/201425486 (DOI)
arXiv:1703.05765v1 (arXiv)
Is supplemented by
10.5281/zenodo.572233 (DOI)