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  1. Free, publicly-accessible full text available September 26, 2025
  2. Abstract The eccentricity of a substellar companion is an important tracer of its formation history. Directly imaged companions often present poorly constrained eccentricities. A recently developed prior framework for orbit fitting called “observable-based priors” has the advantage of improving biases in derived orbit parameters for objects with minimal phase coverage, which is the case for the majority of directly imaged companions. We use observable-based priors to fit the orbits of 21 exoplanets and brown dwarfs in an effort to obtain the eccentricity distributions with minimized biases. We present the objects’ individual posteriors compared to their previously derived distributions, showing in many cases a shift toward lower eccentricities. We analyze the companions’ eccentricity distribution at a population level, and compare this to the distributions obtained with the traditional uniform priors. We fit a Beta distribution to our posteriors using observable-based priors, obtaining shape parametersα= 1.09 0.22 + 0.30 andβ= 1.42 0.25 + 0.33 . This represents an approximately flat distribution of eccentricities. The derivedαandβparameters are consistent with the values obtained using uniform priors, though uniform priors lead to a tail at high eccentricities. We find that separating the population into high- and low-mass companions yields different distributions depending on the classification of intermediate-mass objects. We also determine via simulation that the minimal orbit coverage needed to give meaningful posteriors under the assumptions made for directly imaged planets is ≈15% of the inferred period of the orbit. 
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  3. Evans, Christopher J.; Bryant, Julia J.; Motohara, Kentaro (Ed.)
  4. Seagroves, Scott; Barnes, Austin; Metevier, Anne; Porter, Jason; Hunter, Lisa (Ed.)
    The Institute for Scientist and Engineer Educators (ISEE) Professional Development Program (PDP) has led to the generation of several activities geared toward training in astronomical instrumentation. These include activities developed for the Center for Adaptive Optics summer school and the AstroTech Instrumentation Summer School. The goal of these activities has been to provide the participants with hands-on experience to convey challenging concepts in instrumentation. The inclusion of practices from PDP led to activities that prioritized inquiry-based approaches over the more traditional formulaic lab-based training and activities. Our panel will review the design of these activities and discuss approaches that increase the likelihood of achieving the learning goals. We will also discuss ways in which these activities can help encourage students with little previous experience in instrumentation to consider additional studies in instrumentation. Finally, we will reflect on the importance of facilitators for these activities and the role PDP plays in training facilitators. 
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  5. Evans, Christopher J.; Bryant, Julia J.; Motohara, Kentaro (Ed.)
  6. Vernet, Joël R; Bryant, Julia J; Motohara, Kentaro (Ed.)
    Free, publicly-accessible full text available July 31, 2025
  7. Ruane, Garreth J (Ed.)
  8. Geyl, Roland; Navarro, Ramón (Ed.)
  9. Abstract While the Milky Way nuclear star cluster (MW NSC) has been studied extensively, how it formed is uncertain. Studies have shown it contains a solar and supersolar metallicity population that may have formed in situ, along with a subsolar-metallicity population that may have formed via mergers of globular clusters and dwarf galaxies. Stellar abundance measurements are critical to differentiate between formation scenarios. We present new measurements of [M/H] and α -element abundances [ α /Fe] of two subsolar-metallicity stars in the Galactic center. These observations were taken with the adaptive-optics-assisted high-resolution ( R = 24,000) spectrograph NIRSPEC in the K band (1.8–2.6 micron). These are the first α -element abundance measurements of subsolar-metallicity stars in the MW NSC. We measure [M/H] = − 0.59 ± 0.11, [ α /Fe] = 0.05 ± 0.15 and [M/H] = − 0.81 ± 0.12, [ α /Fe] = 0.15 ± 0.16 for the two stars at the Galactic center; the uncertainties are dominated by systematic uncertainties in the spectral templates. The stars have an [ α /Fe] in between the [ α /Fe] of globular clusters and dwarf galaxies at similar [M/H] values. Their abundances are very different than the bulk of the stars in the nuclear star cluster. These results indicate that the subsolar-metallicity population in the MW NSC likely originated from infalling dwarf galaxies or globular clusters and are unlikely to have formed in situ. 
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  10. Abstract The kinematics and dynamics of stellar and substellar populations within young, still-forming clusters provide valuable information for constraining theories of formation mechanisms. Using Keck II NIRSPEC+AO data, we have measured radial velocities for 56 low-mass sources within 4′ of the core of the Orion Nebula Cluster (ONC). We also remeasure radial velocities for 172 sources observed with SDSS/APOGEE. These data are combined with proper motions measured using HST ACS/WFPC2/WFC3IR and Keck II NIRC2, creating a sample of 135 sources with all three velocity components. The velocities measured are consistent with a normal distribution in all three components. We measure intrinsic velocity dispersions of ( σ v α , σ v δ , σ v r ) = (1.64 ± 0.12, 2.03 ± 0.13, 2.56 − 0.17 + 0.16 ) km s −1 . Our computed intrinsic velocity dispersion profiles are consistent with the dynamical equilibrium models from Da Rio et al. (2014) in the tangential direction but not in the line-of-sight direction, possibly indicating that the core of the ONC is not yet virialized, and may require a nonspherical potential to explain the observed velocity dispersion profiles. We also observe a slight elongation along the north–south direction following the filament, which has been well studied in previous literature, and an elongation in the line-of-sight to tangential velocity direction. These 3D kinematics will help in the development of realistic models of the formation and early evolution of massive clusters. 
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