Synthetic J-H-K-W1-W2-W3-G-B-V photometry for random population of binary & single stars
<p>Table of synthetic photometry for ~800k stars, randomly distributed in the following ranges:</p> <ul> <li>mass_A = (0.2, 2.0)</li> <li>log10(age) = (8.0, 9.9)</li> <li>feh = N(0, 0.2)</li> <li>distance = (50, 2000) [pc]</li> <li>A_V = (0, 1)</li> <li>q (mass ratio) = (0.2, 1); mass_B = q * mass_A</li> </ul> <p>The table has columns for all the synthetic photometry as well as columns for the true properties and a boolean column for "is_binary"; the synthetic photometry is only a sum of the two stars if is_binary is True; otherwise the photometry is just for the primary star. Synthetic photometry is done using the MIST model grids, implemented by isochrones (github.com/timothydmorton/isochrones)</p> <p>The purpose of this table is to act a synthetic training set for single/binary classification algorithms.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0