Understanding eccentric temperate giants: an in-depth study of the architecture and stellar obliquity of the TOI-2134 system

Posted by klaurent MIT

Kavli Affiliate: Andrew Vanderburg | Summary:We revisit the TOI-2134 planetary system with three new high-cadence TESS sectors and 98 more spectra. This new analysis confirms the two orbiting planets by simultaneously modelling a total of eight sectors of corrected TESS photometry and 280 HARPS-N and SOPHIE radial velocities: an inner mini-Neptune in a near-circular $9.229198pm0.000003$ […]


Continue.. Understanding eccentric temperate giants: an in-depth study of the architecture and stellar obliquity of the TOI-2134 system

Understanding eccentric temperate giants: an in-depth study of the architecture and stellar obliquity of the TOI-2134 system

Posted by klaurent MIT

Kavli Affiliate: Andrew Vanderburg | Summary:We revisit the TOI-2134 planetary system with three new high-cadence TESS sectors and 98 more spectra. This new analysis confirms the two orbiting planets by simultaneously modelling a total of eight sectors of corrected TESS photometry and 280 HARPS-N and SOPHIE radial velocities: an inner mini-Neptune in a near-circular $9.229198pm0.000003$ […]


Continue.. Understanding eccentric temperate giants: an in-depth study of the architecture and stellar obliquity of the TOI-2134 system

The “dark dips” phenomenon in the LSST Camera on-sky images

Posted by klaurent Stanford

Kavli Affiliate: Andrew Rasmussen | Summary:When the commissioning camera (ComCam), and then the LSST Camera, started taking on-sky images at the Vera Rubin Observatory, some of the ITL STA3800 CCDs exhibited a previously undocumented effect. When a sufficiently bright star is superimposed over the sky background, the sensor columns that contain the star appear slightly […]


Continue.. The “dark dips” phenomenon in the LSST Camera on-sky images

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding and answer reasoning within a single trajectory, causing early semantic hypotheses to bias evidence localization. We term this failure mode premature semantic commitment, where biased grounding retrieves incomplete evidence and […]


Continue.. EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding and answer reasoning within a single trajectory, causing early semantic hypotheses to bias evidence localization. We term this failure mode premature semantic commitment, where biased grounding retrieves incomplete evidence and […]


Continue.. EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao| Summary:Long-video reasoning is fundamentally constrained by how models acquire and utilize visual evidence. Existing tool-augmented video frameworks often interleave temporal grounding and answer reasoning within a single trajectory, causing early semantic hypotheses to bias evidence localization. We term this failure mode premature semantic commitment, where biased grounding retrieves incomplete evidence and […]


Continue.. EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection