Published May 5, 2021 | Version v1

Memory-efficient emulation of physical tabular data using quadtree decomposition dataset

  • 1. Michigan State University

Description

The datasets used for training and testing the quadtree emulator in the Memory-efficient emulation of physical tabular data using quadtree decomposition paper. The description of the datasets are as follows,

training_data_den0.00625_temp0.00625.hdf5 : Training data for the quadtree emulator

testing_data_den0.004166666666666667_temp0.004166666666666667.hdf5 : Testing data for quadtree emulator.

testing_data_timmes_den0.004166666666666667_temp0.004166666666666667.hdf5 : Values obtained using Timmes's implementation at the testing points.

The values in each dataset were computed from outputs from the EOS code hosted at https://github.com/jschwab/python-helmholtz. 

Files

Files (2.4 GB)

Name Size
md5:05635e7c95a05bf51afb1fb27881fc81
995.3 MB Download
md5:75bbbb590111d0e4361aaf3896516794
995.3 MB Download
md5:e9523d81c1072069230cc22cc297ff7a
442.8 MB Download