This is a python package which consolidates tools for constructing summary statistics from spectroscopic surveys of the universe's Large-Scale Structure (LSS). It is built to support the Learning the Universe CMASS (ltu-cmass) pipeline.
Currently, ili-summarizer supports summary statistic calculation with halo count fields. The available statistics include:
- Two-point statistics
- Three-point statistics
- Wavelet statistics
- Nearest Neighbor statistics
- Environment Satistics
- Void Statistics
Follow the instructions detailed in INSTALL.md.
If you have comments, questions, or feedback, please write us an issue. You can also contact Carolina Cuesta (cuestalz@mit.edu) or Matthew Ho (matthew.annam.ho@gmail.com).
Below is a list of contributors to this repository. (Please add your name here!)
- Carolina Cuesta-Lazaro (MIT)
- Matthew Ho (IAP)
- Deaglan Bartlett (IAP)
This work was supported by the Simons Collaboration on "Learning the Universe".