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Showing 1–6 of 6 results
Advanced filters: Author: Bruce Elmegreen Clear advanced filters
  • New and archival observations of the low-metallicity dwarf irregular galaxy WLM show that it contains carbon monoxide, the main tracer for interstellar clouds capable of forming stars, and suggest that in small galaxies both star-forming cores and carbon monoxide become increasingly rare as the metallicity decreases.

    • Bruce G. Elmegreen
    • Monica Rubio
    • Andreas Schruba
    Research
    Nature
    Volume: 495, P: 487-489
  • To understand the birth of stars, observations of the clouds in which they form are key; here, interferometric observations are reported of carbon monoxide clouds in the galaxy WLM, which has a metallicity that is 13 per cent of the value of our Sun.

    • Monica Rubio
    • Bruce G. Elmegreen
    • Phil Cigan
    Research
    Nature
    Volume: 525, P: 218-221
  • Observations of two faint galaxies with a low abundance of elements heavier than helium show that the galaxies have an efficiency of star formation less than one-tenth of that of the Milky Way and similar galaxies. See Letter p.335

    • Bruce Elmegreen
    News & Views
    Nature
    Volume: 514, P: 310-311
  • Observations by the Ultra-Violet Imaging Telescope on AstroSat reveal ten blue compact dwarf galaxies with excess far-ultraviolet emission in their outer region, indicating star formation in accreting disks.

    • Anshuman Borgohain
    • Kanak Saha
    • Shyam N. Tandon
    Research
    Nature
    Volume: 607, P: 459-462
  • The detection of Lyman continuum emission with a high escape fraction from a low-mass clumpy galaxy at z = 1.42, in a redshift range where previously no similar sources were detected, opens up a new window to constrain the shape of the ionization spectrum.

    • Kanak Saha
    • Shyam N. Tandon
    • Mieke Paalvast
    Research
    Nature Astronomy
    Volume: 4, P: 1185-1194
  • This Review discusses quantum optimization, focusing on the potential of exact, approximate and heuristic methods, core algorithmic building blocks, problem classes and benchmarking metrics. The challenges for quantum optimization are considered, and next steps are suggested for progress towards achieving quantum advantage.

    • Amira Abbas
    • Andris Ambainis
    • Christa Zoufal
    Reviews
    Nature Reviews Physics
    Volume: 6, P: 718-735