Astrophysicist & software developer

Francesco Amadori

Unveiling the atmospheres of distant worlds

PhD researcher in Physics: characterize exoplanet atmospheres combining low- and high-resolution spectroscopic datasets

I study what distant worlds' atmospheres are made of, decoding the chemical fingerprints starlight leaves behind as it filters through.

Portrait of Francesco Amadori

Why now

A golden age for exoplanets

We now know of thousands of planets orbiting other stars, and the challenge has shifted from simply finding them to understanding them. We can finally understand what these distant worlds are made of, and what their chemistry reveals about how planets form and evolve.

The question

Are we alone?

It's the oldest question we have, and for the first time in history we have the tools to chase a real answer. When a planet crosses in front of its star, a sliver of starlight filters through its atmosphere and comes out imprinted with the gases it met along the way: water, methane, carbon monoxide, and one day, perhaps, the chemical hints of life.

My job is to read those fingerprints.

What I do

Characterizing exoplanet atmospheres

My goal is to work out what these atmospheres are actually made of (which molecules are present, in what amounts, at what temperatures) and to tie that composition back to how a planet formed and evolved. Reading that chemistry is the first step; asking whether any of it could point to life comes later, and only once the composition is firmly pinned down.

To do this I lean on two very different views of the same spectrum. From the ground, high-resolution spectroscopy splits the light finely enough to resolve individual molecular lines: it tells which gases are there and how the atmosphere is moving. This is the regime of instruments like GIANO-B at the Telescopio Nazionale Galileo (TNG) and IGRINS today, and of ANDES on the future Extremely Large Telescope (ELT). From space, low-resolution data from the James Webb Space Telescope (JWST) and the Hubble Space Telescope (HST) trades that fine detail for the broad shape of the spectrum, which constrains overall abundances and the presence of clouds. Each view is blind to what the other sees best, so I analyze them jointly, recovering atmospheric properties that neither could reach alone.

To turn these spectra into physical numbers (temperatures, pressures, abundances), I rely on Bayesian retrievals, comparing thousands of model atmospheres against what we actually observe. For now I focus on the atmospheres of Neptune- to Saturn-sized planets, with a growing interest in the smaller sub-Neptunes and, eventually, rocky worlds, the regime where the chemical hints of life may one day become readable.

My flagship project

GUIBRUSHR®

GUIBRUSHR (Graphic User Interface for Bayesian Retrieval Using Spectroscopy at High Resolution) is the analysis pipeline I lead the development of at INAF–OATo. I rewrote the original IDL codebase in Python, added CPU and GPU parallelization, and built it around a single idea: letting researchers model atmospheres at high and low resolution within one consistent, GUI-driven workflow. No configuration-file gymnastics required.

See how GUIBRUSHR works →

My edge

A computer scientist who became an astronomer

I started in computer science, then followed a lifelong fascination with the sky into astronomy and astrophysics. That dual background is the heart of how I work: I build the software that modern exoplanet science increasingly depends on, and I understand the physics it has to serve.

WASP-107b
Multi-instrument atmospheric characterization of a warm super-Neptune
TNG observer
Primary observer for the GAPS programme (HARPS-N & GIANO-B), La Palma
INAF · ESPLORA
High-resolution exoplanet spectroscopy under PRIN 2022
Toward the ELT
Building tools ready for ANDES, the high-resolution spectrograph of the Extremely Large Telescope (ELT)