End-to-End Modeling of the TDM Readout System for CMB-S4

Kavli Affiliate: Kent Irwin | First 5 Authors: David C. Goldfinger, Zeeshan Ahmed, Darcy R. Barron, W. Bertrand Doriese, Malcolm Durkin | Summary: The CMB-S4 experiment is developing next-generation ground-based microwave telescopes to observe the Cosmic Microwave Background with unprecedented sensitivity. This will require an order of magnitude increase in the 100 mK detector count, […]


Continue.. End-to-End Modeling of the TDM Readout System for CMB-S4

Identification of High-Redshift Galaxy Overdensities in GOODS-N and GOODS-S

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Jakob M. Helton, Fengwu Sun, Charity Woodrum, Kevin N. Hainline, Christopher N. A. Willmer | Summary: We conduct a systematic search for high-redshift galaxy overdensities at $4.9 < z_{,mathrm{spec}} < 8.9$ in both the GOODS-N and GOODS-S fields using JWST/NIRCam imaging from JADES and JEMS in addition […]


Continue.. Identification of High-Redshift Galaxy Overdensities in GOODS-N and GOODS-S

Identification of High-Redshift Galaxy Overdensities in GOODS-N and GOODS-S

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Jakob M. Helton, Fengwu Sun, Charity Woodrum, Kevin N. Hainline, Christopher N. A. Willmer | Summary: We conduct a systematic search for high-redshift galaxy overdensities at $4.9 < z_{,mathrm{spec}} < 8.9$ in both the GOODS-N and GOODS-S fields using JWST/NIRCam imaging from JADES and JEMS in addition […]


Continue.. Identification of High-Redshift Galaxy Overdensities in GOODS-N and GOODS-S

Detection of the CMB lensing — galaxy bispectrum

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Gerrit S. Farren, Blake D. Sherwin, Boris Bolliet, Toshiya Namikawa, Simone Ferraro | Summary: We present a first measurement of the galaxy-galaxy-CMB lensing bispectrum. The signal is detected at $26sigma$ and $22sigma$ significance using two samples from the unWISE galaxy catalog at mean redshifts $bar{z}=0.6$ and $1.1$ […]


Continue.. Detection of the CMB lensing — galaxy bispectrum

Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

Kavli Affiliate: Claudio Ricci | First 5 Authors: Fucheng Zhong, Nicola R. Napolitano, Caroline Heneka, Rui Li, Franz Erik Bauer | Summary: Large sky spectroscopic surveys have reached the scale of photometric surveys in terms of sample sizes and data complexity. These huge datasets require efficient, accurate, and flexible automated tools for data analysis and […]


Continue.. Galaxy Spectra neural Network (GaSNet). II. Using Deep Learning for Spectral Classification and Redshift Predictions

The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). We used nearby spiral galaxies to generate simulated images at […]


Continue.. The robustness in identifying and quantifying high-redshift bars using JWST observations

The robustness in identifying and quantifying high-redshift bars using JWST observations

Kavli Affiliate: Luis C. Ho | First 5 Authors: Xinyue Liang, Si-Yue Yu, Taotao Fang, Luis C. Ho, | Summary: Understanding the methodological robustness in identifying and quantifying high-redshift bars is essential for studying their evolution with the {it James} {it Webb} Space Telescope (JWST). Using a sample of nearby spiral galaxies, we created simulated […]


Continue.. The robustness in identifying and quantifying high-redshift bars using JWST observations

Reinforcement learning pulses for transmon qubit entangling gates

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov | Summary: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since […]


Continue.. Reinforcement learning pulses for transmon qubit entangling gates

Reinforcement learning pulses for transmon qubit entangling gates

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov | Summary: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since […]


Continue.. Reinforcement learning pulses for transmon qubit entangling gates

Reinforcement learning pulses for transmon qubit entangling gates

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Ho Nam Nguyen, Felix Motzoi, Mekena Metcalf, K. Birgitta Whaley, Marin Bukov | Summary: The utility of a quantum computer depends heavily on the ability to reliably perform accurate quantum logic operations. For finding optimal control solutions, it is of particular interest to explore model-free approaches, since […]


Continue.. Reinforcement learning pulses for transmon qubit entangling gates