Coronagraph-based wavefront sensors for the high Strehl regime

Kavli Affiliate: Bruce Macintosh | First 5 Authors: Vincent Chambouleyron, J. Kent Wallace, Rebecca Jensen-Clem, Bruce Macintosh, | Summary: A crucial component of the high-contrast instrumental chain in astronomy is the wavefront sensor (WFS). A key property of this component is its sensitivities, which reflect its ability to efficiently use incoming photons to encode the […]


Continue.. Coronagraph-based wavefront sensors for the high Strehl regime

Ion manipulation from liquid Xe to vacuum: Ba-tagging for a nEXO upgrade and future 0νb{eta}b{eta} experiments

Kavli Affiliate: Giorgio Gratta | First 5 Authors: Dwaipayan Ray, Robert Collister, Hussain Rasiwala, Lucas Backes, Ali V. Balbuena | Summary: Neutrinoless double beta decay ($0 nu beta beta$) provides a way to probe physics beyond the Standard Model of particle physics. The upcoming nEXO experiment will search for $0nubetabeta$ decay in $^{136}$Xe with a […]


Continue.. Ion manipulation from liquid Xe to vacuum: Ba-tagging for a nEXO upgrade and future 0νb{eta}b{eta} experiments

Ion manipulation from liquid Xe to vacuum: Ba-tagging for a nEXO upgrade and future $0 νββ$ experiments

Kavli Affiliate: Giorgio Gratta | First 5 Authors: Dwaipayan Ray, Robert Collister, Hussain Rasiwala, Lucas Backes, Ali V. Balbuena | Summary: Neutrinoless double beta decay {($0nubetabeta$)} provides a way to probe physics beyond the Standard Model of particle physics. The upcoming nEXO experiment will search for $0nubetabeta$ decay in $^{136}$Xe with a projected half-life sensitivity […]


Continue.. Ion manipulation from liquid Xe to vacuum: Ba-tagging for a nEXO upgrade and future $0 νββ$ experiments

Correcting for Selection Biases in the Determination of the Hubble Constant from Time-Delay Cosmography

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Tian Li, Thomas E. Collett, Philip J. Marshall, Sydney Erickson, Wolfgang Enzi | Summary: The time delay between multiple images of strongly lensed quasars has been used to infer the Hubble constant. The primary systematic uncertainty for time-delay cosmography is the mass-sheet transform (MST), which preserves […]


Continue.. Correcting for Selection Biases in the Determination of the Hubble Constant from Time-Delay Cosmography

Correcting for Selection Biases in the Determination of the Hubble Constant from Time-Delay Cosmography

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Tian Li, Thomas E. Collett, Philip J. Marshall, Sydney Erickson, Wolfgang Enzi | Summary: The time delay between multiple images of strongly lensed quasars has been used to infer the Hubble constant. The primary systematic uncertainty for time-delay cosmography is the mass-sheet transform (MST), which preserves […]


Continue.. Correcting for Selection Biases in the Determination of the Hubble Constant from Time-Delay Cosmography

GRB Redshift Estimation using Machine Learning and the Associated Web-App

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Aditya Narendra, Maria Dainotti, Milind Sarkar, Aleksander Lenart, Malgorzata Bogdan | Summary: Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increase in the number of GRBs with determined redshifts, as […]


Continue.. GRB Redshift Estimation using Machine Learning and the Associated Web-App

GRB Redshift Estimation using Machine Learning and the Associated Web-App

Kavli Affiliate: Vahe Petrosian | First 5 Authors: Aditya Narendra, Maria Dainotti, Milind Sarkar, Aleksander Lenart, Malgorzata Bogdan | Summary: Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increase in the number of GRBs with determined redshifts, as […]


Continue.. GRB Redshift Estimation using Machine Learning and the Associated Web-App

Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Riya Dinesh Deshpande, Faheem A. Khan, Qasim Zeeshan Ahmed, , | Summary: As the number of devices getting connected to the vehicular network grows exponentially, addressing the numerous challenges of effectively allocating spectrum in dynamic vehicular environment becomes increasingly difficult. Traditional methods may not suffice to tackle […]


Continue.. Spectrum Sharing using Deep Reinforcement Learning in Vehicular Networks