
This repository contains model weights, predictions, and chains used for Figures 5 ,6,8, 9, 11, 12, 13, 14 in Erickson et al. '25. For more details on how to use these files, please see this jupyter notebook, which uses these files as input, and shows how to re-create the figures mentioned above. - hierarchical_inference.tgz contains MCMC chains for all lens mass population models. - model_predictions.tgz contains all neural network predictions (i.e. mass model posteriors) - test_sets.tgz contains input images/data.tfrecords for simulated verification test sets - trained_models.tgz contains weights of trained neural networks used to generate predictions
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
