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The Population of Tiny Near-Earth Objects Observed by NEOWISE

1 Pith paper cite this work, alongside 68 external citations. Polarity classification is still indexing.

1 Pith paper citing it
68 external citations · Pith
abstract

Only a very small fraction of the asteroid population at size scales comparable to the object that exploded over Chelyabinsk, Russia has been discovered to date, and physical properties are poorly characterized. We present previously unreported detections of 106 close approaching near-Earth objects (NEOs) by the Wide-field Infrared Survey Explorer mission's NEOWISE project. These infrared observations constrain physical properties such as diameter and albedo for these objects, many of which are found to be smaller than 100 m. Because these objects are intrinsically faint, they were detected by WISE during very close approaches to the Earth, often at large apparent on-sky velocities. We observe a trend of increasing albedo with decreasing size, but as this sample of NEOs was discovered by visible light surveys, it is likely that selection biases against finding small, dark NEOs influence this finding.

fields

astro-ph.EP 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Shape, Orientation and Colors Combined approach for Asteroids (SOCCA)

astro-ph.EP · 2026-06-16 · unverdicted · novelty 6.0

SOCCA extends HG1G2 by modeling the projected surface of a rotating triaxial ellipsoid to jointly retrieve absolute magnitude, phase parameters, spin state, and shape from sparse multi-band photometry, halving residuals and tripling precision on LSST simulations and Eugenia data.

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Showing 1 of 1 citing paper.

  • Shape, Orientation and Colors Combined approach for Asteroids (SOCCA) astro-ph.EP · 2026-06-16 · unverdicted · none · ref 148 · internal anchor

    SOCCA extends HG1G2 by modeling the projected surface of a rotating triaxial ellipsoid to jointly retrieve absolute magnitude, phase parameters, spin state, and shape from sparse multi-band photometry, halving residuals and tripling precision on LSST simulations and Eugenia data.