# OoL digest — September 28th edition, part one

This week’s digest contains many publications so it is divided into two parts, the second part will be published toworrow. Today I’ll be focusing on astrobiology papers. The first three papers by Turbet, Sergeev and Fauchez describe results from the TRAPPIST-1 Habitable Atmosphere Intercomparison, which consist in GCM modeling of the TRAPPIST-1e spectroscopic features as seen by JWST, and subsequent habitability states. The fourth paper, by Gobat, studies the process of panspermia by modeling the probability of successful travel of organic compounds between stars with habitable planets. The fifth paper, by Höning, investigates the early habitability of Venus. The following paper by Kong reports machine learning applications on habitable planetary systems classification. We then have another paper, by Messmer this time, that applies statistical learning to discern spectral patterns of biosignatures through Raman spectroscopy. Finally, the two last papers examine PH$_3$ generation pathways on rocky planets (Omran) and the connection between the size of Mars and its limited habitability (Tian). Stay tuned for the second part!

Astrobiology

The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). Part II: Moist Cases – The Two Waterworlds – Sergeev et al. – preprint

Panspermia in a Milky Way-like Galaxy – Gobat et al. – preprint

Early habitability and crustal decarbonation of a stagnant-lid Venus – Höning et al. – preprint

Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning – Kong et al. – preprint

Phosphine Generation Pathways on Rocky Planets – Omran et al. – preprint

Potassium isotope composition of Mars reveals a mechanism of planetary volatile retention – Tian et al. – preprint

##### Alexandre Champagne‑Ruel
###### PhD Candidate - Astrophysics

My research interests include statistical physics, complex systems and major evolutionary transitions.