The Ragozzine research group studies exoplanets and Kuiper Belt Objects using theoretical orbital dynamics, advanced statistical techniques, computational data analysis, and the best astronomical data.
Selected Publications
Only three binaries have been identified among the Centaur population. Because their perihelia are significantly closer than those of other trans-Neptunian binaries (TNBs), these systems allow a detailed look at tight binaries in the broader trans-Neptunian object population and provide critical insight into the disruption of binaries as they enter the Centaur population. Using recent and archival Hubble Space Telescope observations, along with Keck data, we present a spin–orbit study of Typhon–Echidna. We find that the binary’s mutual orbit is inconsistent with a Keplerian orbit; more detailed non-Keplerian fits show that the mutual orbit is rapidly precessing. We measure Typhon’s dynamical oblateness, J2, at ∼10σ confidence and find that Typhon’s rotation pole is ≳20° misaligned with the binary’s mutual orbit. Assuming Typhon has a triaxial shape, our results, combined with rotational light curves and thermal measurements from the literature, suggest ellipsoidal semiaxes of km, km, and km. We further investigate the observational consequences of the complex spin–orbit dynamics, including light-curve alteration by axial precession of Typhon and substantial changes to the system’s mutual event season. Based on the system’s dynamically excited state, we suggest a recent encounter with a giant planet may have substantially altered the system, potentially consistent with a binary in an early stage of disruption. This hypothesis can be tested with resolved photometric observations of the system. Our investigation highlights how non-Keplerian dynamics enhance our understanding of TNB systems and motivates ongoing observations of TNBs with astrometry, photometry, and stellar occultations.
With the great success of stellar occultations in probing trans-Neptunian objects (TNOs), these observations have become ubiquitous, leading to significant advances in our knowledge of TNOs. As stellar occultation predictions have improved, it has become feasible to predict and observe stellar occultations by satellites of TNOs. In this work, we develop a robust methodology for predicting occultations by large TNO satellites based on the most up-to-date and accurate ephemerides available. We validated our methodology by reproducing several previously recorded occultations by Hi‘iaka, and then used it to predict—and successfully observe—stellar occultations of two other satellites, Namaka and Tinia. As a demonstration of the scientific return of such occultations, we provide the detailed prediction, observation, and analysis of the Tinia occultation. For the satellite of Uni (2002 UX25), we recorded two positive occultation chords that yielded projected circular and elliptical profiles with equivalent diameters of 180.8 ± 0.6 and 193.0 ± 1.0 km, respectively. Using the published absolute magnitude for the system and Tinia’s relative brightness with respect to the primary, we derived an absolute magnitude of HV = 6.476 ± 0.183 mag for Tinia. This corresponds to geometric albedo values of ρV = 0.139 ± 0.023 and ρV = 0.122 ± 0.02 for circular and elliptical solutions, respectively. Under the assumption of equal albedos, we obtained a diameter of D = 571 ± 53 km and D = 610 ± 53 km for the primary. Our methods provide a precise, simple, open-source technique for predicting TNO satellite occultations, enabling diverse investigations into the properties of TNOs and their satellites as demonstrated for Tinia.
The shapes and densities of midsized and large trans-Neptunian objects (TNOs) are pivotal for understanding a variety of important aspects of planet formation. In this work, we present a Bayesian shape modeling method that combines constraints from rotational light curves and satellite orbits to construct three-dimensional shape models of TNOs. We use it to reanalyze three stellar occultations of the TNOs (229762) G!kún∣∣’hòmdímà (2007 UK126), (136108) Haumea, and (174567) Varda. By assuming that their satellites (or rings) orbit in their respective equatorial planes, we are able to derive unique shape models for both G!kún∣∣’hòmdímà and Haumea. Our derived shape for G!kún∣∣’hòmdímà is spheroidal with km and km, with a system density kg m−3. For Haumea, we find km, km, and km, providing kg m−3. For Varda, after updating its mutual orbit with its satellite Ilmarë, we find that currently published data are unable to fully constrain its three-dimensional shape. Intriguingly, Varda’s elongated limb appears to point toward its satellite at the time of the occultation. With a ∼2% chance of such an alignment happening randomly, this may be suggestive of a frozen-in tidal and/or rotational bulge. Our work emphasizes the importance of how external constraints can improve occultation analyses. With continued observations of rotational light curves, stellar occultations, and satellite orbits, these—and other—TNOs can have their shapes and densities further refined.
We present You Only Stack Once (YOSO), an automated pipeline designed to detect faint, slow-moving solar system objects in wide-field astronomical surveys. The pipeline integrates a novel Gaussian motion filter (GMoF) that operates at the pixel level to enhance the signal-to-noise ratio for objects exhibiting a range of apparent rates of motion. Unlike conventional shift-and-stack methods, which rely on discrete velocity trials, GMoF amplifies trails while suppressing random noise and static background features. Applied to a subset of DEEP observations from the Dark Energy Camera, YOSO discovered 45 out of 73 previously detected objects, as well as 11 new trans-Neptunian objects. It also discovered 216 objects in the near solar system. Although alternative shift-and-stack methods are sensitive to objects about 0.88 mag fainter, YOSO’s false-positive rate is extremely low, since it detects only sources that exhibit a trail and are consistent with a point source when shifted at the right rate. We show how this method can be deployed on large surveys like LSST, and be adapted for other domains that require motion-based signal enhancement, including exoplanet imaging through angular differential imaging and near-Earth object (NEO) detection for missions like the NEO Surveyor. YOSO thus provides a versatile, scalable approach for extracting faint, motion-dependent signals in the era of data-intensive astronomy.