Welcome to SPHYNX!

SPHYNX is an SPH hydrocode with its focus on Astrophysical applications.

SPHYNX includes state-of-the-art methods that allow it to address subsonic hydrodynamical instabilities and strong shocks, which are ubiquitous in astrophysical scenarios. SPHYNX, is of Newtonian type and grounded on the Euler-Lagrange formulation of the smoothed-particle hydrodynamics technique. Its distinctive features are: 

• the use of an integral approach to estimating the gradients; 
• the use of a flexible family of interpolators called sinc kernels, which suppress pairing instability; 
• and the incorporation of a new type of volume elements which provides a better partition of the unity. Unlike other modern formulations, which consider volume elements linked to pressure, our volume element choice relies in density. SPHYNX is, therefore, a density-based SPH code.

To download SPHYNX please, fill out the form below.

This is a basic version of SPHYNX 3D. It includes a 3D gravity solver and the hydrodynamic modules. This version is prepared to simulate an Evrard Collapse.

SPHYNX is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. 

If you use SPHYNX please, cite the main paper in Astronomy & Astrophysics (A&A, 606, A78, 2017). We would also be very happy to see which exciting results you achieve with our code, so pictures, videos, and references are welcome, so that we can publish them here.

Sub-stellar engulfment by a main sequence star: where is the lithium? 
Cabezón, R. M.; Abia C.; Domínguez I.; García-Senz, D.;
Accepted at A&A

Axisymmetric magneto-hydrodynamics with SPH
García-Senz, D.; Wissing, R.; Cabezón, R. M.
Accepted for International SPHERIC Workshop (2022)

Conservative, density-based smoothed particle hydrodynamics with improved partition of the unity and better estimation of gradients
García-Senz, D.; Cabezón, R. M.; Escartín, J. A.
A&A 659, A175 (2022)

A Smoothed Particle Hydrodynamics Mini-App for Exascale
Cavelan, A.; Cabezón, R. M.; Grabarczyk, M.; Ciorba, F. M.
PASC20, ACM proceedings for PASC conference (2020)

Self-gravitating barotropic equilibrium configurations of rotating bodies with SPH 
García-Senz, D.; Cabezón, R. M.; Blanco-Iglesias, J.M.; Lorén-Aguilar, P.
A&A 637, A61 (2020)

Two-level dynamic load balancing for high performance scientific applications
Mohammed, A.; Cavelan, A.; Ciorba, F.; Cabezón, R. M.; Banicescu, I.
SIAM proceedings of the Conference on Parallel Processing for Scientific Computing PP20 (2020)

Explosion of fast spinning sub-Chandrasekhar mass white dwarfs
Domínguez, I.; Cabezón, R. M.; García-Senz, D.
Nuclei in the Cosmos XV. Springer Proceedings in Physics, 219 (2019)

SPH-EXA: Enhancing the Scalability of SPH codes via an Exascale-ready SPH mini-app
Guerrera, D.; Cavelan, A.; Cabezón, R. M.; Imbert, D.; Piccinali, J.-G.; Mohammed, A.; Mayer, L.; Reed, D.; Ciorba, F.
arXiv:1905.03344

Detection of silent data corruptions in Smooth Particle Hydrodynamics simulations
Cavelan, A.; Cabezón, R. M.; Ciorba, F.
Proceedings for IEEE/ACM International Symposium on Cluster Computing and the Grid CCGrid'19 (2019)

Core-collapse Supernovae in the hall of mirrors. A three-dimensional code comparison project.
Cabezón, R. M.; Pan, K.-C.; Liebendörfer, M.; Kuroda, T.; Ebinger, K.; Heinimann, O.; Thielemann, K.-F.; Perego, A.
Astronomy & Astrophysics 619, A118 (2018)

Detection of silent data corruptions in Smooth Particle Hydrodynamics simulations
Cavelan, A.; Ciorba, F.; Cabezón, R. M.
Accepted for CCGrid'19

Surface and core detonations in rotating white dwarfs
García-Senz, D.; Cabezón, R. M.; Domínguez, I. 
Astrophysical Journal, 862, 27 (2018)

DIAPHANE: a portable radiation transport library for astrophysical applications.
Reed, D.; Dykes, T.; Cabezón, R. M.; Gheller, C.; Mayer, L. 
Computer Physics Communications, 226, 1 (2018)

An advanced leakage scheme for neutrino treatment in astrophysical simulations.
Perego, A.; Cabezón, R. M.; Käppeli, R. 
Astrophysical Journal Supplement Series, 223, 22 (2016)

Type Ia Supernovae: Can Coriolis force break the symmetry of the gravitational confined detonation explosion mechanism?
García-Senz, D.; Cabezón, R. M.; Domínguez, I.; Thielemann, F. K. 
Astrophysical Journal, 819, 132 (2016)

Equalizing resolution in smoothing particle hydrodynamics calculations using self-adaptive sinc kernels.
García-Senz, D.; Cabezón, R. M.; Escartín, J. A.; Ebinger, K. 
Astronomy & Astrophysics, 570, A14 (2014)

High resolution simulations of the head-on collision of white dwarfs.
García-Senz, D.; Cabezón, R. M.; Arcones, A.; Relaño, A.; Thielemann, F.-K. 
MNRAS, 436, 3413 (2013)

Smoothed Particle Hydrodynamics: checking a tensor approach to calculating gradients.
Escartín, J. A.; García-Senz, D.; Cabezón R. M. 
Highlights of Spanish Astrophysics VII.
Proceedings of the X Scientific Meeting of the Spanish Astronomical Society (2013)

Testing the concept of integral approach to derivatives within the smoothed particle hydrodynamics technique in astrophysical scenarios.
Cabezón, R. M.; García-Senz, D.; Escartín J. A. 
Astronomy & Astrophysics, 545, A112 (2012)

Improving smoothed particle hydrodynamics with an integral approach to calculating gradients.
García-Senz, D.; Cabezón, R. M.; Escartín, J. 
Astronomy & Astrophysics, 538, A9 (2012)

The main authors of SPHYNX are Rubén M. Cabezón and Domingo García-Senz.

For questions, bug-reports, and/or suggestions you can contact them writting an email to:

• ruben.cabezon <at> unibas.ch
• domingo.garcia <at> upc.edu

Installing SPHYNX is very easy:

1. After downloading SPHYNX, uncompress it with 
   tar xjvf sphynx-<version>.tar.bz2
2. This will create a directory named SPHYNX-<version>
3. Done!

In order to run SPHYNX you need a fortran compiler and an MPI library. Current version has been tested with Intel cluster compiler and GNU fortran compiler.

• Documentation + short tutorial (PDF)
• ICs for 3D wind-cloud interaction test (zip - 110 MB)

SPHYNX takes part on the SPH-EXA project, founded by the Platform fro Advanced Scientific Computing (PASC), aiming at the development of a scalable and fault tolerant SPH co-design code that can benefit from the next generation Exascale supercomputers.

2019

2018

2017