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GUIbrush®: Characterizing the atmospheres of the new worlds with Python

Python Torino
September 27, 2023

GUIbrush®: Characterizing the atmospheres of the new worlds with Python

Video: https://video.linux.it/w/igKJp9HopEWjsA69zsQTkd?start=57m12s&stop=2h9m45s

Vediamo un progetto basato su Python per il recupero delle proprietà atmosferiche dei pianeti extrasolari, concentrandoci sulle sfide astrofisiche e computazionali.

Dott. Paolo Giacobbe — Ricercatore presso l'Osservatorio Astrofisico di Torino

Python Torino

September 27, 2023

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    Paolo Giacobbe1 & Francesco Amadori1 (1INAF-Osservatorio Astrofisico di Torino, Pino Torinese, Italy.)
  2. When it all began (?) On 6 October 1995, Michel

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  3. Why study exoplanetary atmospheres? The Holy Grall of an exoplanetologist

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  4. Why study exoplanetary atmospheres? ▪We are in the era of

    comparative exoplanetology ▪Already now we reveal a rich diversity of chemical compositions and atmospheric processes hitherto unseen in the Solar System. ▪The spectrum of an exoplanet reveals the physical, chemical, and biological processes that have shaped its history and govern its future.
  5. A graphical representation of the Trappist-1 system Credit: NASA/JPL-Caltech/Robert Hurt

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  6. Variation of the C/O ratio of the gas in a

    disc due to freeze-out (Madhusudan 2019, Booth+2017).
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  8. At high spectral resolution, molecular features are resolved into a

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    exoplanet’s spectrum. Disentangle moving planet lines from stationary telluric & stellar lines High Resolution ( R = 25,000 - 100,000) Transmission Spectroscopy Snellen et al. (2010) C - HD209458b
  10. VS

  11. Guibrush® is coded in Python > 3.8 THE DEMCMC is

    parallelized with the Multiprocessing Python library DEMCMC PetitRadTrans: Radiative Transfer Code ~10 sec for one model in the 0.9-2.5 micron range GPU? The goal is a 100x faster code for ANDES/JWST range, 3D models, etc etc
  12. The “final” matrix for Giano is 102’400 x 60 =

    6’144’000 Bottleneck #3 The model reprocessing