Using occultation-derived sizes and Herschel thermal data, the study identifies three previously unknown likely binary TNOs and reports satellite size estimates while confirming no sizable satellites are needed for three others.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
astro-ph.EP 4years
2026 4roles
background 1polarities
background 1representative citing papers
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.
Updated shape model of Arrokoth finds significantly larger volume, 2:1 lobe ratio, spherical small lobe and oblate large lobe compared to prior work.
CARMApy provides a Python interface to the ExoCARMA microphysics code, enabling simulation of cloud particle size distributions and rates in exoplanet atmospheres with claimed consistency to prior versions and speed gains of 1.9x single-threaded and 3.8x multithreaded.
citing papers explorer
-
Probing close-in satellites of Trans-Neptunian Objects through thermal and direct size measurements
Using occultation-derived sizes and Herschel thermal data, the study identifies three previously unknown likely binary TNOs and reports satellite size estimates while confirming no sizable satellites are needed for three others.
-
Shape, Orientation and Colors Combined approach for Asteroids (SOCCA)
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.
-
The Shape of (486958) Arrokoth
Updated shape model of Arrokoth finds significantly larger volume, 2:1 lobe ratio, spherical small lobe and oblate large lobe compared to prior work.
-
CARMApy: An Open-Source Python Framework for Simulating Microphysical Clouds in Planetary Atmospheres
CARMApy provides a Python interface to the ExoCARMA microphysics code, enabling simulation of cloud particle size distributions and rates in exoplanet atmospheres with claimed consistency to prior versions and speed gains of 1.9x single-threaded and 3.8x multithreaded.