Giter VIP home page Giter VIP logo

sourcextractorplusplus's Introduction

SourceXtractor++

Conda Fedora package Build RPM Coverity Documentation CodeFactor

The next generation SExtractor.

Documentation: https://astrorama.github.io/SourceXtractorPlusPlus/

Installation

Conda

SourceXtractor++ is available on Anaconda Cloud for Linux and MacOSX

conda install -c conda-forge -c astrorama sourcextractor==0.19.2

We would recommend, however, to install it into its own environment.

conda create -n sourcex -c astrorama -c conda-forge sourcextractor==0.19.2
conda activate sourcex

Note: If you want the development version to test a future functionality or bugfix, it can also be done with conda:

conda create -n sourcex-dev -c astrorama/label/develop -c astrorama -c conda-forge sourcextractor=x.xx
conda activate sourcex-dev

We recommend always using an explicit version number as there is no guarantee that conda will install the latest version otherwise.

Fedora

SourceXtractor++ is shipped directly in Fedora. It can be installed simply as follows:

sudo dnf install sourcextractor++

We also build our own RPMs as part of our CI setup They can be installed adding a .repo file under /etc/yum.repos.d with the following content:

# Stable and tagged versions
# This is the recommended way to install sourcextractor++
[Astrorama]
name=Astrorama
baseurl=http://repository.astro.unige.ch/euclid/fedora/$releasever/$basearch
enabled=1
gpgcheck=0

# Enable this to get the stable (untagged) version
[Astrorama-Stable]
name=Astrorama Stable
baseurl=http://repository.astro.unige.ch/euclid/devel/stable/fedora/$releasever/$basearch
enabled=0
gpgcheck=0

# Enable this to get the development version
# Use with care!
[Astrorama-Develop]
name=Astrorama Develop
baseurl=http://repository.astro.unige.ch/euclid/devel/develop/fedora/$releasever/$basearch
enabled=0
gpgcheck=0

And install with

dnf install SourceXtractorPlusPlus

Test Data Set

A test data set covering various data reduction scenarios is available here. It contains the input data, all relevant configuration files, the SourceXtractor++ commands and the expected output results for a reference. The test data set is described as a pre-print for the corresponding conference proceedings.

Discussion group for SourceXtractor++ users

In order to facilitate an active discussion among SourceXtractor++ users we have created a users group. We encourage all users to directly join the group (if a google account is at hand) or to ask us to add you as a member (open an issue on the github page.

References and Acknowledgment

While we are working on several refereed papers describing SourceXtractor++ and its software architecture, the software package can be referenced with two ADASS conference proceedings:

Resources for the SourceXtractor++ development are in most part provided by funding from the Euclid satellite project via the various national agencies. For Euclid Consortium papers it is sufficient to point to the SourceXtractor++ webpage and add the standard EC acknowledgement text.

For scientific publication which are non EC papers we would be greatful if the following acknowledgment could be added:

This research made use of {\tt SourceXtractor++}\footnote{https://github.com/astrorama/SourceXtractorPlusPlus},
an open source software package developed for the Euclid satellite project.

sourcextractorplusplus's People

Contributors

ayllon avatar marcschefer avatar mkuemmel avatar nikoapos avatar ebertin avatar dubath avatar degauden avatar seguri avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.