pith. sign in

arxiv: 0811.3732 · v1 · submitted 2008-11-23 · 🌌 astro-ph

Time-Resolved Near-Infrared Photometry of Extreme Kuiper Belt Object Haumea

classification 🌌 astro-ph
keywords haumeanear-infraredsurfaceobjectphotometrybeltcolordata
0
0 comments X
read the original abstract

We present time-resolved near-infrared (J and H) photometry of the extreme Kuiper belt object (136108) Haumea (formerly 2003 EL61) taken to further investigate rotational variability of this object. The new data show that the near-infrared peak-to-peak photometric range is similar to the value at visible wavelengths, \Delta m_R = 0.30+/-0.02 mag. Detailed analysis of the new and previous data reveals subtle visible/near-infrared color variations across the surface of Haumea. The color variations are spatially correlated with a previously identified surface region, redder in B-R and darker than the mean surface. Our photometry indicates that the J-H colors of Haumea (J-H=-0.057+/-0.016 mag) and its brightest satellite Hi'iaka (J-H=-0.399+/-0.034 mag) are significantly (>9 sigma) different. The satellite Hi'iaka is unusually blue in J-H, consistent with strong 1.5 micron water-ice absorption. The phase coefficient of Haumea in the J-band is found to increase monotonically with wavelength in the range 0.4<lambda<1.3. We compare our findings with other Solar system objects and discuss implications regarding the surface of Haumea.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Prospects for detecting surface color heterogeneity on asteroid surfaces from sparse multiband photometric survey data

    astro-ph.EP 2026-05 conditional novelty 6.0

    The paper proposes a statistical test for asteroid surface color heterogeneity from sparse multiband photometry and evaluates its performance and sensitivity to model errors through Monte Carlo simulations of syntheti...