Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Kavli Affiliate: Aaron Roodman | Summary:Strongly lensed Active Galactic Nuclei (AGN) with an observable time delay can be used to constrain the expansion history of the Universe through time-delay cosmography (TDC). As the sample of time-delay lenses grows to statistical size, with $mathcalO$(1000) lensed AGN forecast to be observed by the Vera C. Rubin Observatory […]


Continue.. Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Kavli Affiliate: Aaron Roodman | Summary:Strongly lensed Active Galactic Nuclei (AGN) with an observable time delay can be used to constrain the expansion history of the Universe through time-delay cosmography (TDC). As the sample of time-delay lenses grows to statistical size, with $mathcalO$(1000) lensed AGN forecast to be observed by the Vera C. Rubin Observatory […]


Continue.. Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Kavli Affiliate: Aaron Roodman| First 5 Authors: Sydney Erickson, Sydney Erickson, , , | Summary:Strongly lensed Active Galactic Nuclei (AGN) with an observable time delay can be used to constrain the expansion history of the Universe through time-delay cosmography (TDC). As the sample of time-delay lenses grows to statistical size, with $mathcalO$(1000) lensed AGN forecast […]


Continue.. Investigating the Dark Energy Constraint from Strongly Lensed AGN at LSST-Scale

Variable-temperature attenuator calibration method for on-wafer microwave noise characterization of low-noise amplifiers

Kavli Affiliate: Austin Minnich | Summary:Low-noise cryogenic microwave amplifiers are widely used in applications such as radio astronomy and quantum computing. On-wafer noise characterization of cryogenic low-noise transistors is desirable because it facilitates more rapid characterization of devices prior to packaging, but obtaining accurate noise measurements is difficult due to the uncertainty arising from the […]


Continue.. Variable-temperature attenuator calibration method for on-wafer microwave noise characterization of low-noise amplifiers

Probing scalar-neutrino and scalar-dark-matter interactions with PandaX-4T

Kavli Affiliate: Yingjie Peng| First 5 Authors: PandaX Collaboration, PandaX Collaboration, , , | Summary:Scalar-mediated interactions may exist among neutrinos, dark matter particles, or between the two. Double $β$-decay experiments provide a powerful tool to probe such exotic interactions. Using $^136$Xe double $β$-decay data from PandaX-4T, we perform the first direct spectral search in the […]


Continue.. Probing scalar-neutrino and scalar-dark-matter interactions with PandaX-4T

Measurement of Exclusive $π^+$–argon Interactions Using ProtoDUNE-SP

Kavli Affiliate: David Shoemaker| First 5 Authors: DUNE Collaboration, DUNE Collaboration, , , | Summary:We present the measurement of $π^+$–argon inelastic cross sections using the ProtoDUNE Single-Phase liquid argon time projection chamber in the incident $π^+$ kinetic energy range of 500 — 800 MeV in multiple exclusive channels (absorption, charge exchange, and the remaining inelastic […]


Continue.. Measurement of Exclusive $π^+$–argon Interactions Using ProtoDUNE-SP

Learning Cosmology from Nearest Neighbour Statistics

Kavli Affiliate: Tom Abel | Summary:Extracting cosmological parameters from galaxy/halo catalogues with sub-percent level accuracy is an important aspect of modern cosmology, especially in view of ongoing and upcoming surveys such as Euclid, DESI, and LSST. While traditional two-point statistics have been known to be suboptimal for this task, recently proposed k-Nearest Neighbour (kNN) based […]


Continue.. Learning Cosmology from Nearest Neighbour Statistics

Learning Cosmology from Nearest Neighbour Statistics

Kavli Affiliate: Tom Abel | Summary:Extracting cosmological parameters from galaxy/halo catalogues with sub-percent level accuracy is an important aspect of modern cosmology, especially in view of ongoing and upcoming surveys such as Euclid, DESI, and LSST. While traditional two-point statistics have been known to be suboptimal for this task, recently proposed k-Nearest Neighbour (kNN) based […]


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Above-Unity Coherent Cooperativity of Tin-Vacancy Centers in Diamond Photonic Crystal Cavities

Kavli Affiliate: Ronald Hanson | Summary:The tin-vacancy center in diamond (SnV) has emerged as a compelling building block for realizing next-generation quantum networks thanks to its excellent optical and spin properties. Coupling to photonic crystal cavities (PCCs) promises to further enhance the SnV light-matter interface and unlock a diverse range of entanglement generation protocols. Recent […]


Continue.. Above-Unity Coherent Cooperativity of Tin-Vacancy Centers in Diamond Photonic Crystal Cavities

RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Weakly-Supervised Video Anomaly Detection aims to identify anomalous events using only video-level labels, balancing annotation efficiency with practical applicability. However, existing methods often oversimplify the anomaly space by treating all abnormal events as a single category, overlooking the diverse semantic and temporal […]


Continue.. RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection