Welcome, these are my latest news:

Line-transition Compression Code:

Repack (Cubillos, 2017) identifies the strong lines that dominate the spectrum from the large-majority of weaker lines. Repack preserves the full line-by-line (LBL) information of the strong lines, and compresses the opacity from the weak lines into a continuum opacity as function of wavenumber and temperature.

Repack reproduces ~99% of the original opacity (but reducing LBL info from ~billion to ~million lines), it considers the temperature dependence of the lines, and works with the HITEMP, Exomol, and Kurucz's TiO databases. The code is available at https://github.com/pcubillos/repack/.


Fitting and MCMC Code Released:

The Multi-core Markov-chain Monte Carlo (MC3, Cubillos et al., 2017) code is a general-purpose Python/C software to fit parameterized models to a data set in a statistically robust manner. MC3 provides best-fit and credible-region estimation through Levenberg-Marquardt optimization and Differential-evolution MCMC, respectively. The code is available at http://pcubillos.github.io/MCcubed/


Mass-loss constraints for low-density Neptune-like planets:

Some found exoplanets have bulk densities so low that their atmospheres cannot retain their light particles (H/He) due to Jeans Escape, yet, only a significant H/He content can explain their low densities. Are we not measuring well their masses? Are we misinterpreting their radii? There is something we are not getting right (Cubillos et al., 2017).





Coming Soon:

The Python Radiative-Transfer in a Bayesian framework (Pyrat Bay), an open-source code to model exoplanet atmospheric spectra.


About Me:

Currently, I'm a post-doctoral researcher at the Space Research Institute in Graz, Austria. There, I work with the Group for Exoplanet Characterization and Observation (GECO) since October 2015. My research interests are the study of extrasolar planet atmospehres, either through transit time-series data analysis or atmospheric modeling and retrieval.

Other interests: Tea enthusiast, astronomic socialism, and getting better at being human.


Space Research Institute, Austrian Academy of Sciences. Schmiedlstrasse 6, 8042 Graz, Austria.
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