dbos – Page 518 – Kavli Institute Pre-Print Publications

Performance metrics for the continuous distribution of entanglement in multi-user quantum networks

Posted by dbos July 3, 2023Delft

Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Stephanie Wehner, , , | Summary: Entangled states shared among distant nodes are frequently used in quantum network applications. When quantum resources are abundant, entangled states can be continuously distributed across the network, allowing nodes to consume them whenever necessary. This continuous distribution of […]

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EIGER IV: The cool 10$^4$K circumgalactic environment of high-$z$ galaxies reveals remarkably efficient IGM enrichment

Posted by dbos July 3, 2023MIT

Kavli Affiliate: Robert A. Simcoe | First 5 Authors: Rongmon Bordoloi, Robert A. Simcoe, Jorryt Matthee, Daichi Kashino, Ruari Mackenzie | Summary: We report new observations of the cool diffuse gas around 29, $2.3<z<6.3$ galaxies, using deep JWST/NIRCam slitless grism spectroscopy around the sightline to the quasar J0100+2802. The galaxies span a stellar mass range […]

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Mapping the imprints of stellar and AGN feedback in the circumgalactic medium with X-ray microcalorimeters

Posted by dbos July 3, 2023MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Gerrit Schellenberger, Ákos Bogdán, John A. ZuHone, Benjamin D. Oppenheimer, Nhut Truong | Summary: The Astro2020 Decadal Survey has identified the mapping of the circumgalactic medium (CGM, gaseous plasma around galaxies) as a key objective. We explore the prospects for characterizing the CGM in and around nearby […]

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The Atacama Cosmology Telescope: High-resolution component-separated maps across one-third of the sky

Posted by dbos July 3, 2023Stanford

Kavli Affiliate: Kent Irwin | First 5 Authors: William R. Coulton, Mathew S. Madhavacheril, Adriaan J. Duivenvoorden, J. Colin Hill, Irene Abril-Cabezas | Summary: Observations of the millimeter sky contain valuable information on a number of signals, including the blackbody cosmic microwave background (CMB), Galactic emissions, and the Compton-$y$ distortion due to the thermal Sunyaev-Zel’dovich […]

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The Atacama Cosmology Telescope: High-resolution component-separated maps across one-third of the sky

Posted by dbos July 3, 2023Stanford

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The Atacama Cosmology Telescope: High-resolution component-separated maps across one-third of the sky

Posted by dbos July 3, 2023Stanford

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Nitrogen-vacancy magnetometry of CrSBr by diamond membrane transfer

Posted by dbos July 3, 2023Delft

Kavli Affiliate: Toeno Van Der Sar | First 5 Authors: Talieh S. Ghiasi, Michael Borst, Samer Kurdi, Brecht G. Simon, Iacopo Bertelli | Summary: Magnetic imaging using nitrogen-vacancy (NV) spins in diamonds is a powerful technique for acquiring quantitative information about sub-micron scale magnetic order. A major challenge for its application in the research on […]

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A Transparent and Nonlinear Method for Variable Selection

Posted by dbos July 1, 2023Caltech

Kavli Affiliate: Lihong Wang | First 5 Authors: Keyao Wang, Huiwen Wang, Jichang Zhao, Lihong Wang, | Summary: Variable selection is a procedure to attain the truly important predictors from inputs. Complex nonlinear dependencies and strong coupling pose great challenges for variable selection in high-dimensional data. In addition, real-world applications have increased demands for interpretability […]

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Whole Cross-Sectional Human Ultrasound Tomography

Posted by dbos June 30, 2023Caltech

Kavli Affiliate: Lihong V. Wang | First 5 Authors: David C. Garrett, Jinhua Xu, Yousuf Aborahama, Geng Ku, Konstantin Maslov | Summary: Ultrasonography is a vital component of modern clinical care, with handheld probes routinely used for diagnostic imaging and procedural guidance. However, handheld ultrasound imaging is limited by factors such as the partial-cross-sectional field […]

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The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks

Posted by dbos June 30, 2023MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziqian Zhong, Ziming Liu, Max Tegmark, Jacob Andreas, | Summary: Do neural networks, trained on well-understood algorithmic tasks, reliably rediscover known algorithms for solving those tasks? Several recent studies, on tasks ranging from group arithmetic to in-context linear regression, have suggested that the answer is yes. Using […]

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