Characterization, deployment, and in-flight performance of the BLAST-TNG cryogenic receiver

Kavli Affiliate: Dale Li | First 5 Authors: Ian Lowe, Peter A. R. Ade, Peter C. Ashton, Jason E. Austermann, Gabriele Coppi | Summary: The Next Generation Balloon-borne Large Aperture Submillimeter Telescope (BLAST-TNG) is a submillimeter polarimeter designed to map interstellar dust and galactic foregrounds at 250, 350, and 500 microns during a 24-day Antarctic […]


Continue.. Characterization, deployment, and in-flight performance of the BLAST-TNG cryogenic receiver

Reducing the Athena WFI charged particle background: Results from Geant4 simulations

Kavli Affiliate: Marshall W. Bautz | First 5 Authors: Catherine E. Grant, Eric D. Miller, Marshall W. Bautz, Tanja Eraerds, Silvano Molendi | Summary: One of the science goals of the Wide Field Imager (WFI) on ESA’s Athena X-ray observatory is to map hot gas structures in the universe, such as clusters and groups of […]


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W=0 Complex Structure Moduli Stabilization on CM-type K3 x K3 Orbifolds:—Arithmetic, Geometry and Particle Physics—

Kavli Affiliate: Taizan Watari | First 5 Authors: Keita Kanno, Taizan Watari, , , | Summary: It is an important question in string compactification whether complex structure moduli stabilization inevitably ends up with a vacuum expectation value of the superpotential < W > of the order of the Planck scale cubed. Any thoughts on volume […]


Continue.. W=0 Complex Structure Moduli Stabilization on CM-type K3 x K3 Orbifolds:—Arithmetic, Geometry and Particle Physics—

In-flight performance of the BLAST-TNG telescope platform

Kavli Affiliate: Dale Li | First 5 Authors: Gabriele Coppi, Peter A. R. Ade, Peter C. Ashton, Jason E. Austermann, Erin G. Cox | Summary: The Next Generation Balloon-Borne Large Aperture Submillimeter Telescope (BLAST-TNG) was a unique instrument for characterizing the polarized submillimeter sky at high-angular resolution. BLAST-TNG flew from the Long Duration Balloon Facility […]


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Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Kavli Affiliate: Daniel Needleman | First 5 Authors: Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian Leahy, Helen Yang | Summary: Blastomere instance segmentation is important for analyzing embryos’ abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. Amodal instance segmentation aims to recover the complete silhouette of an object […]


Continue.. Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Kavli Affiliate: Daniel Needleman | First 5 Authors: Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian Leahy, Helen Yang | Summary: Blastomere instance segmentation is important for analyzing embryos’ abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. Amodal instance segmentation aims to recover the complete silhouette of an object […]


Continue.. Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Kavli Affiliate: Daniel Needleman | First 5 Authors: Won-Dong Jang, Donglai Wei, Xingxuan Zhang, Brian Leahy, Helen Yang | Summary: Blastomere instance segmentation is important for analyzing embryos’ abnormality. To measure the accurate shapes and sizes of blastomeres, their amodal segmentation is necessary. Amodal instance segmentation aims to recover the complete silhouette of an object […]


Continue.. Learning Vector Quantized Shape Code for Amodal Blastomere Instance Segmentation

Deploying deep learning in OpenFOAM with TensorFlow

Kavli Affiliate: Elise Jennings | First 5 Authors: Romit Maulik, Himanshu Sharma, Saumil Patel, Bethany Lusch, Elise Jennings | Summary: We outline the development of a data science module within OpenFOAM which allows for the in-situ deployment of trained deep learning architectures for general-purpose predictive tasks. This module is constructed with the TensorFlow C API […]


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GPI 2.0: Upgrades to the IFS including new spectral modes

Kavli Affiliate: Arlene Aleman | First 5 Authors: Mary Anne Limbach, Jeffrey Chilcote, Quinn Konopacky, Robert De Rosa, Randall Hamper | Summary: The Gemini Planet Imager (GPI) is a high-contrast imaging instrument designed to directly image and characterize exoplanets. GPI is currently undergoing several upgrades to improve performance. In this paper, we discuss the upgrades […]


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