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:1411.0674, 1506.03492, 1506.09116, 1711.10038, 1811.05979, 2003.02281, and 1302.4442.

**• 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.

**• pdetclassifier: Gravitational-wave selection effects using neural-network classifiers**

Training samples and pre-trained neural networks to estimate LIGO/Virgo detectability. Supporting arXiv:2007.06585.

## 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. 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.

**• binaryBHexp: The binary black hole explorer**

On-the-fly visualization of precessing binary black holes. Use ours, or do your own with our code. Supporting arXiv:1811.06552.

**• Milky Way Satellites Shining Bright in Gravitational Waves**

LISA white dwarf posteriors. Supporting arXiv:2002.10465.