ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Navarro, J. F.'

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[ascl:1806.019] SYGMA: Modeling stellar yields for galactic modeling
Ritter, C.; Côté, B.; Herwig, F.; Navarro, J. F.; Fryer, C.

SYGMA (Stellar Yields for Galactic Modeling Applications) follows the ejecta of simple stellar populations as a function of time to model the enrichment and feedback from simple stellar populations. It is the basic building block of the galaxy code One-zone Model for the Evolution of GAlaxies (OMEGA, ascl:1806.018) and is part of the NuGrid Python Chemical Evolution Environment (NuPyCEE, ascl:1610.015). Stellar yields of AGB and massive stars are calculated with the same nuclear physics and are provided by the NuGrid collaboration.

[ascl:2312.009] GravSphere: Jeans modeling code
Read, J. I.; Steger, P.; Walker, M. G.; Genina, A.; Frenk, C. S.; Cole, S.; Benítez-Llambay, A.; Ludlow, A. D.; Navarro, J. F.; Oman, K. A.; Robertson, A.; Collins, M. L. M.; Ibata, R. A.; Rich, R. M.; Martin, N. F.; Peñarrubia, J.; Chapman, S. C.; Tollerud, E. J.; Weisz, D. R.

The non-parametric Jeans code GravSphere models discrete data and can be used to model dark matter distributions in galaxies. It can also recover the density ρ(r) and velocity anisotropy β(r) of spherical stellar systems, assuming only that they are in a steady state. Real or mock data are prepared by using the included binulator.py code; the repository also includes many examples for exploring the GravSphere's capabilities.