Data and Software for Astrometric Binary Classification
<p>The following data set and software accompany the paper "Astrometric Binary Classification Via Artificial Neural Networks" by Joe Smith, accepted to the Astrophysical Journal (ApJ) in August 2024. </p> <p>The data and the data mining techniques used to create the data set to train the ANN can be found in Section 2.2 of the paper - this data set is provided below for ease of access. There is also a code file containing the model's weights, architecture, training configuration, and additional information:</p> <p>1. astrobinary_data.csv<br>2. ann_model.keras</p> <p>To make classifications, the ANN can be loaded via the ann_model.keras file with the following Python script:</p> <p>import tensorflow as tf<br>ann_model = tf.keras.models.load_model('ann_model.keras')<br>ann_model.summary()<br><br>DISCLAIMER:<br>If you download and use this ANN model, please cite the paper above.</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 0