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Main Authors: Squicciarini, Vito, Mirova, Irina, Anderson, Francis D., He, Zhiyuan, al-Khwarizmi, Wahman
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2503.24242
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author Squicciarini, Vito
Mirova, Irina
Anderson, Francis D.
He, Zhiyuan
al-Khwarizmi, Wahman
author_facet Squicciarini, Vito
Mirova, Irina
Anderson, Francis D.
He, Zhiyuan
al-Khwarizmi, Wahman
contents High angular resolution holds the key to extending our knowledge in several domains of astronomical research. In addition to the development of new instruments, advancements in post-processing algorithms can enhance the performances attainable in an observation, turning archival observations into a treasure. We developed a machine-learning tool, named zoom-in, that is able to improve the angular resolution of an astronomical image by a factor of $\sim 100$ by optimally recombining short-cadence sequences of images. After training our model on real-life photographs, we tested our method on archival images of the Moon taken through ESO instruments. We were able to achieve a remarkable spatial resolution of $\sim 1$ m of the lunar surface. While analyzing one of the fields from the sample, we discovered structures of clear anthropic origin inside the Aristarchus crater. The features appear to be consistent with ancient ruins of cities and castles. A thorough analysis of the relevant literature allowed us to conclude that this valley corresponds to the one described in Ludovico Ariosto's "Orlando Furioso": a place where all the items lost by humans gather and pile up. Analyses of the surface brightness from our images, indicating an abnormally high albedo of $\sim 0.25$, further corroborate this idea suggesting a conspicuous presence of glass. We infer the presence of >1 billion flasks of human wits on the lunar surface, whose origin we investigate in detail. We urge for a dedicated mission, astolfo, to be carried out by Artemis astronauts in order to recover human wits and bring them back to the Earth.
format Preprint
id arxiv_https___arxiv_org_abs_2503_24242
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Orlando's flask: detection of a lost-and-found valley on the Moon
Squicciarini, Vito
Mirova, Irina
Anderson, Francis D.
He, Zhiyuan
al-Khwarizmi, Wahman
Earth and Planetary Astrophysics
High angular resolution holds the key to extending our knowledge in several domains of astronomical research. In addition to the development of new instruments, advancements in post-processing algorithms can enhance the performances attainable in an observation, turning archival observations into a treasure. We developed a machine-learning tool, named zoom-in, that is able to improve the angular resolution of an astronomical image by a factor of $\sim 100$ by optimally recombining short-cadence sequences of images. After training our model on real-life photographs, we tested our method on archival images of the Moon taken through ESO instruments. We were able to achieve a remarkable spatial resolution of $\sim 1$ m of the lunar surface. While analyzing one of the fields from the sample, we discovered structures of clear anthropic origin inside the Aristarchus crater. The features appear to be consistent with ancient ruins of cities and castles. A thorough analysis of the relevant literature allowed us to conclude that this valley corresponds to the one described in Ludovico Ariosto's "Orlando Furioso": a place where all the items lost by humans gather and pile up. Analyses of the surface brightness from our images, indicating an abnormally high albedo of $\sim 0.25$, further corroborate this idea suggesting a conspicuous presence of glass. We infer the presence of >1 billion flasks of human wits on the lunar surface, whose origin we investigate in detail. We urge for a dedicated mission, astolfo, to be carried out by Artemis astronauts in order to recover human wits and bring them back to the Earth.
title Orlando's flask: detection of a lost-and-found valley on the Moon
topic Earth and Planetary Astrophysics
url https://arxiv.org/abs/2503.24242