39 citations
- California Institute of TechnologyUS2 papers
- Center for Astrophysics Harvard & SmithsonianUS2 papers
- NASA Exoplanet Science InstituteUS2 papers
- Search for Extraterrestrial IntelligenceUS2 papers
- Université de MontréalCA2 papers
- University of California, BerkeleyUS2 papers
- University of California, Los AngelesUS2 papers
- University of California, RiversideUS2 papers
- University of California, Santa CruzUS2 papers
- University of Southern QueenslandAU2 papers
- Acton InstituteUS1 paper
- American Institute of Aeronautics and AstronauticsUS1 paper
5 papers
Turbulent mixing of a hydrogen jet in crossflow: direct numerical simulation and model assessment
Yiqing Wang, Chao Xu, Riccardo Scarcelli +3
A numerical study for a hydrogen (H2) jet in an air crossflow (JICF) was performed using direct numerical simulation (DNS), large eddy simulation (LES), and Reynolds-averaged Navie…
Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty
Kai Ren, Colin Chen, Hyeontae Sung +3
We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty. Specifically, we consider the uncertainty that arises from…
The TESS-Keck Survey. VIII. Confirmation of a Transiting Giant Planet on an Eccentric 261 day Orbit with the Automated Planet Finder Telescope
Paul A. Dalba, Stephen R. Kane, Diana Dragomir +72
We report the discovery of TOI-2180 b, a 2.8 giant planet orbiting a slightly evolved G5 host star. This planet transited only once in Cycle 2 of the primary Transiting…
Giant Outer Transiting Exoplanet Mass (GOT 'EM) Survey. II. Discovery of a Failed Hot Jupiter on a 2.7 Year, Highly Eccentric Orbit
Paul A. Dalba, Stephen R. Kane, Zhexing Li +13
Radial velocity (RV) surveys have discovered giant exoplanets on au-scale orbits with a broad distribution of eccentricities. Those with the most eccentric orbits are valuable labo…
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
Fan Zeng, Adam Jacobson, David Smith +3
A key capability for autonomous underground mining vehicles is real-time accurate localisation. While significant progress has been made, currently deployed systems have several li…