
This dataset was created to train and test a neural network for examining the model dependence of the Fisher matrix in cosmology. It contains instances generated from ΛCDM and wCDM cosmological models. Each instance corresponds to the upper triangular part of the Fisher matrix computed for a given cosmology. The ΛCDM instances are labeled as 1 and the wCDM instances as 0. The data was used in: https://github.com/amata21/LCDM_null_tests_SPHEREx
Machine learning, Physical cosmology, Fisher matrix
Machine learning, Physical cosmology, Fisher matrix
| 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 |
