Davide Gerosa

Caltech

Research material

Here you can find my public numerical codes and some online material supporting my publications.

Public repositories are available on github (or here for a nicer list). Some of the pages below contain the same information of the repositories’ README, some others instead have more results.

From here:

• precession: Dynamics of spinning black-hole binaries with python. 
Public python module to perform post-Newtornian evolution of precessing exploiting multi-timescale methods. The code is described carefully arXiv:1605.01067 and has by now been used in many papers by us and others.

• spinprecession: Black-hole binary inspiral: a precession-averaged approach. 
Some animations and data on black-hole binary spin precession, supporting arXiv:1506.03492, 1411.0674 and 1506.09116.

• corecollapse: Numerical simulations of stellar collapse in scalar-tensor theories of gravity
Did you know supernova can be used to test gravity? Animations and data release on core-collapse simulations in scalar-tensor theories of gravity, supporting arXiv:1602.06952.

• surrkick: Black-hole kicks from numerical-relativity surrogate models
Public python module to extract black hole recoils from waveform approximants by directly integrating the linear momentum flux in gravitational waves. The approach is described in arXiv:1802.04276, here we also provide some animations from that paper.

• gwdet: Detectability of gravitational-wave signals from compact binary coalescences
Tiny python module to compute the probability that a gravitational-signal will be detected averaging over sky location, detector antenna pattern, etc.

• spops: “S”pinning black-hole binary “Pop”ulation “S”ynthesis
Database containing population synthesis simulations from arXiv:1808.02491, together with a simple python code to query it.

From there:

• welovespins: Asymmetries and selection biases in effective-spin measurements
Estimate your own effective-spin posterior with the recipe presented in arXiv:1805.03046.

• gw_catalog_mining: Mining gravitational-wave catalogs
What are we going to do with thousands of gravitational wave observations? Maybe Gaussain process emulators and hierarchical analyses. Want to know more? Webpage and public code supporting arXiv:1806.08365.

• GWpriors: Impact of bayesian priors on the characterization of binary black hole coalescences
Full posterior samples of the three LIGO 01 events, obtained under a variety of astrophysically motivated prior assumptions. Data release supporting arXiv:1707.04637.

• surfinBH: SURrogate FINal Black Hole properties for mergers of binary black holes 
Public python module to estimate post-merger masses, spins and kicks for generic systems (yes, this includes spin precession). Supporting arXiv:1809.09125.