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

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 […]


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Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation

Kavli Affiliate: Aaron Roodman | First 5 Authors: Sydney Erickson, Sebastian Wagner-Carena, Phil Marshall, Martin Millon, Simon Birrer | Summary: Strongly lensed quasars can be used to constrain cosmological parameters through time-delay cosmography. Models of the lens masses are a necessary component of this analysis. To enable time-delay cosmography from a sample of $mathcal{O}(10^3)$ lenses, […]


Continue.. Lens Modeling of STRIDES Strongly Lensed Quasars using Neural Posterior Estimation