Skip to main content
zenodoopen

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.&nbsp;</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