Reflection Spectra Repository for Cool Giant Planets
<p>Supplementary material for <a href="http://iopscience.iop.org/article/10.3847/1538-4357/aabb05"><em>Exploring H2O Prominence in Reflection Spectra of Cool Giant Planets</em></a> - ApJ 858, 69 (2018).</p> <p>This repository contains 65520 model reflection spectra of cool giant planets. The grid explores the influence of metallicity, gravity, effective temperature, and sedimentation efficiency on H<sub>2</sub>O absorption signatures in giant planet atmospheres. We also include two animations to visualise how the prominence of H<sub>2</sub>O absorption evolves over this parameter space. The included models range over:</p> <p>*m => 1-100 x solar (log(m) @ 0.0, 0.5, 1.0, 1.5, 1.7, 2.0 dex) <-- log(m) = 1.7 new for V2 of the database.<br> *g => 1-100 m/s<sup>2</sup> (evenly over log(g) in steps of 0.1 dex)<br> *T<sub>eff</sub> => 150-400 K (linearly in steps of 10 K)<br> *f<sub>sed</sub> => 1-10 (linearly in steps of 1)</p> <p>(V 1.0, March 30th 2018):</p> <blockquote> <p>Initial release of the reflection spectra repository. </p> </blockquote> <p>(V 2.0, Oct 1st 2019): </p> <blockquote> <p>The cool giant reflection spectra grid has been re-computed using the latest version of the PICASO albedo code (doi: <a href="https://arxiv.org/ct?url=https%3A%2F%2Fdx.doi.org%2F10.3847%2F1538-4357%2Fab1b51&v=77076c4a">10.3847/1538-4357/ab1b51</a>). This fixes a few bugs and adds new model features (e.g. Raman scattering, see Batalha+2019).</p> <p>The new grid is packaged as a HDF5 file with an accompanying python script 'Open_Albedo_Database.py'. The python script is provided to show how to open the albedo database, plot the spectra, and save spectra as a .txt file. The user need only change 4 lines (specifying log(m), log(g), T<sub>eff</sub>, f<sub>sed</sub>) and run the python script to produce a plot of the albedo spectra (both with and without H<sub>2</sub>O absorption).</p> </blockquote> <p><strong>NEW</strong>: (V 2.1, Oct 3rd 2019): </p> <blockquote> <p>Fixed a bug causing models with log(g) = 3.4 or 3.9 to not display cloud opacity.</p> </blockquote>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 8