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tlpipe

The Tianlai pipeline.

https://github.com/tianlaiproject/tlpipe

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (3.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

The Tianlai pipeline.

Basic Info
  • Host: GitHub
  • Owner: TianlaiProject
  • License: other
  • Language: Python
  • Default Branch: master
  • Size: 14.8 MB
Statistics
  • Stars: 14
  • Watchers: 10
  • Forks: 10
  • Open Issues: 0
  • Releases: 0
Created over 10 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.rst 

=====================
Tianlai data pipeline
=====================

This is a Python project for the Tianlai data pipeline.

Installation
============

See INSTALL.rst

How to
======

Refer to the example in :file:`example/` to see how to write an input pipeline file
and execute the pipeline.

Document
========

Documentation can be found at ``_.

Another documentation which does not build so successful can be found at ``_, which will usually be more up to date.

Owner

  • Name: TianlaiProject
  • Login: TianlaiProject
  • Kind: organization

Citation (CITATION.cff) 

cff-version: 1.1.0
message: "Please cite the following works when using this software: https://ui.adsabs.harvard.edu/abs/2020ascl.soft11006Z"
authors:
- family-names: Zuo
  given-names: Shifan
title: "tlpipe: Data processing pipeline for the Tianlai experiment"
version: v0.1.0
date-released: 2015
identifiers:
 - type: "ascl-id"
   value: "2011.006"
 - type: "doi"
   value: PLACEHOLDER
 - type: "bibcode"
   value: "2020ascl.soft11006Z"
abstract: "tlpipe processes the drift scan survey data from the Tianlai experiment; the Tainlai project is a 21cm intensity mapping experiment aimed at detecting dark energy by measuring the baryon acoustic oscillation (BAO) features in the large scale structure power spectrum. tlpipe performs offline data processing tasks such as radio frequency interference (RFI) flagging, array calibration, binning, and map-making, in addition to other tasks. It includes utility functions needed for the data analysis, such as data selection, transformation, visualization and others. tlpipe implements a number of new algorithms are implemented, including the eigenvector decomposition method for array calibration and the Tikhnov regularization for m-mode analysis."

GitHub Events

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Dependencies

doc/requirements.txt pypi
  • Sphinx ==1.3.5
  • funcsigs *
  • mock *
  • numpy *
  • sphinx_rtd_theme ==0.1.9
requirements.txt pypi
  • cython *
  • h5py *
  • healpy *
  • matplotlib *
  • numpy *
  • pyephem *
  • scipy *
docker/ubuntu14.04/Dockerfile docker
  • ubuntu 14.04 build
setup.py pypi