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Volume 7 Issue 4, April 2023

Learning to recognize life from afar

A framework that combines statistical ecology with machine learning can recognize and predict biosignature patterns at Pajonales, Chile. This targeted approach, based on non-random biosignature distributions, achieves a significantly higher probability of biosignature detection and may help guide the search for extant life on other planets.

See Warren-Rhodes et al.

Image: Spencer Lowell. Cover design: Bethany Vukomanovic.

Editorial

  • Missions from various space agencies are going to be busy delivering material from different bodies throughout the upcoming decade, looking forward to the return of samples from Mars.

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    Editorial

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Comment & Opinion

  • What is the link between the discovery of the relativistic expanding Universe and British imperialism? A public panel debate in the early days of relativistic cosmology shows how fundamental scientific research, whether there are obvious political stakeholders (like biosecurity and climate) or not, runs real-time risks of being repurposed for political ends.

    • Mike D. Schneider
    • Siska De Baerdemaeker
    Comment
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Books & Arts

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Research Highlights

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News & Views

  • The arrangement of dwarf galaxies in a thin plane surrounding the Milky Way has been thought to contradict the prevailing cosmological model of cold dark matter in the Universe. New work suggests that this arrangement may just be a temporary alignment, bringing our galaxy back into agreement with theoretical expectations once the radial distribution of satellites is taken into account.

    • Laura V. Sales
    • Julio F. Navarro
    News & Views
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Research Briefings

  • A probabilistic machine learning-based framework for recognizing and predicting microbial landscape patterns at nested spatial scales was developed. The approach substantially increased the probability of detecting biosignatures when tested at a Martian analogue in the high Andes. This search tool has applications for detecting biosignatures on terrestrial or icy planets.

    Research Briefing
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Reviews

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Research

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Amendments & Corrections

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Mission Control

  • ERIS takes over from and improves upon the key functionalities of the VLT’s former NACO and SINFONI instruments.

    • Kateryna Kravchenko
    • Helmut Feuchtgruber
    • Armando Riccardi
    Mission Control
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