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PoET: the Paranal solar ESPRESSO Telescope

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arxiv 2505.08540 v1 pith:F6OV7EL4 submitted 2025-05-13 astro-ph.SR astro-ph.EPastro-ph.IM

PoET: the Paranal solar ESPRESSO Telescope

Nuno C. Santos , Alexandre Cabral , In\^es Leite , Alain Smette , Manuel Abreu , David Alves , Jorge H.C. Martins , Manuel Monteiro
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Andr\'e Silva Bachar Wehbe Jimmy Arancibia Gerardo \'Avila Stephane Brillant C\'esar C\'ardenas Ricardo Clara Ricardo Gafeira Daniel Gaytan Christophe Lovis Nicolas Miranda Pedro Moreno Ant\'onio Oliveira Angel Otarola Francesco Pepe Pascual Rojas Ricardo Schmutzer Danuta Sosnowska Pierre van der Heyden Khaled Al Moulla Vardan Adibekyan Alba Barka Susana C. C. Barros Pedro Branco Eduardo Cristo Yuri Damasceno Olivier Demangeon William Dethier Jo\~ao P. Faria Jo\~ao Gomes da Silva Eduardo Gon\c{c}alves Jennifer P. Lucero Jos\'e Rodrigues Carmen San Nicolas Martinez \^Angela Santos S\'ergio Sousa Pedro T. P. Viana
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The detection and characterisation of other "Earths", orbiting other suns, is a bold objective of present-day astrophysics. However, this quest is severely challenged by astrophysical "noise" from the host stars, whose signatures distort the observed spectra. Motivated by this problem, we are building a dedicated facility, the Paranal solar ESPRESSO Telescope (PoET). PoET will collect solar light and channel it into the ESPRESSO spectrograph, allowing us to use the Sun as a proxy to unambiguously identify and understand the sources of relevant variability in solar-type stars.

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Cited by 2 Pith papers

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    Deep neural networks using temperature-based spectral representations recover planetary Doppler signals with amplitudes of at least 25 cm/s from HARPS-N solar spectra under cross-validation.