The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations

Kavli Affiliate: Jia Liu | First 5 Authors: Adrian E. Bayer, Yici Zhong, Zack Li, Joseph DeRose, Yu Feng | Summary: Upcoming cosmological surveys have the potential to reach groundbreaking discoveries on multiple fronts, including the neutrino mass, dark energy, and inflation. Most of the key science goals require the joint analysis of datasets from […]


Continue.. The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations

The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations

Kavli Affiliate: Jia Liu | First 5 Authors: Adrian E. Bayer, Yici Zhong, Zack Li, Joseph DeRose, Yu Feng | Summary: Upcoming cosmological surveys have the potential to reach groundbreaking discoveries on multiple fronts, including the neutrino mass, dark energy, and inflation. Most of the key science goals require the joint analysis of datasets from […]


Continue.. The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations

Determination of $|V_{ub}|$ from simultaneous measurements of untagged $B^0toπ^- ell^+ ν_{ell}$ and $B^+toρ^0 ell^+ν_{ell}$ decays

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov | Summary: We present a measurement of $|V_{ub}|$ from a simultaneous study of the charmless semileptonic decays $B^0topi^- ell^+ nu_{ell}$ and $B^+torho^0 ell^+nu_{ell}$, where $ell = e, mu$. This measurement uses a data sample of 387 […]


Continue.. Determination of $|V_{ub}|$ from simultaneous measurements of untagged $B^0toπ^- ell^+ ν_{ell}$ and $B^+toρ^0 ell^+ν_{ell}$ decays

Determination of $|V_{ub}|$ from simultaneous measurements of untagged $B^0toπ^- ell^+ ν_{ell}$ and $B^+toρ^0 ell^+ν_{ell}$ decays

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle II Collaboration, I. Adachi, L. Aggarwal, H. Aihara, N. Akopov | Summary: We present a measurement of $|V_{ub}|$ from a simultaneous study of the charmless semileptonic decays $B^0topi^- ell^+ nu_{ell}$ and $B^+torho^0 ell^+nu_{ell}$, where $ell = e, mu$. This measurement uses a data sample of 387 […]


Continue.. Determination of $|V_{ub}|$ from simultaneous measurements of untagged $B^0toπ^- ell^+ ν_{ell}$ and $B^+toρ^0 ell^+ν_{ell}$ decays

Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference

Kavli Affiliate: Brian Nord | First 5 Authors: Sreevani Jarugula, Brian Nord, Abhijith Gandrakota, Aleksandra Ćiprijanović, | Summary: In this work, we present a scalable approach for inferring the dark energy equation-of-state parameter ($w$) from a population of strong gravitational lens images using Simulation-Based Inference (SBI). Strong gravitational lensing offers crucial insights into cosmology, but […]


Continue.. Population-level Dark Energy Constraints from Strong Gravitational Lensing using Simulation-Based Inference

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Eric D. Miller | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Catherine E. Grant | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness

Kavli Affiliate: Sven Herrmann | First 5 Authors: Artem Poliszczuk, Dan Wilkins, Steven W. Allen, Eric D. Miller, Tanmoy Chattopadhyay | Summary: Traditional cosmic ray filtering algorithms used in X-ray imaging detectors aboard space telescopes perform event reconstruction based on the properties of activated pixels above a certain energy threshold, within 3×3 or 5×5 pixel […]


Continue.. Towards efficient machine-learning-based reduction of the cosmic-ray induced background in X-ray imaging detectors: increasing context awareness