This is the first stable release of UNSIO (1.0.0)
Unsio is still improving and a python wrapper is available which open UNSIO to the great world of python !
With only one API based on UNSIO, you can develop analysis programs in C, C++, Fortran and now Python language !
A lot of bugs have been fixed, and new features have been introduced:
- Improved MAC OSX installation
- Nemo : support mulitple snapshots with different numbers of particles
- Sqlite3DB : sqlite3 database improved (see sqlite3 doc )
To download latest Unsio package, go to download page
Documentation is available here
Unsio is getting better and better. A lot of bugs have been fixed, and new features have been introduced:
- Ramses : mettalicity and particles identities support added
- Nemo : softening support added (reading/writing)
- Sqlite3DB : sqlite3 database added (see Sqlite3Db )
- Installation : binaries are linked against installed shared libraries.
To download latest Unsio package, go to download page
A 17 millions dark matter particles movies, rendered with glnemo2, has been done at French supercomputer CINES . Ramses code has been used to run the simulation and glnemo2 to render the movie.
Simulation initial conditions have been run by Emmanuel Nezri and Pol Mollitor.
Unsio beta test is open. A lot of bugs have been fixed and wiki has been improved with a complete documentation about howto develop project using unsio from fortran and c/c++ language.
Please do not hesitate to post bugs reports and features request from the web interface
The version 0.5.0 of the ETC-42 is now available and it can be downloaded from here .
Changes highlights:
- Arbitrary bi-variate function PSF support
- Central pixel SNR
- Source with flat energy flux
- Basic Adaptive Optics support
- VOTable drag and drop support
You can see the full change log on the Downloads page.
Glnemo2 proceedings given at ADASS conference is available for download here.