Modular Parametrization as Polyakov Path Integral: Cases with CM Elliptic Curves as Target Spaces

Kavli Affiliate: Taizan Watari | Summary:For an elliptic curve E over an abelian extension k/K with CM by K of Shimura type, the L-functions of its [k:K] Galois representations are Mellin transforms of Hecke theta functions; a modular parametrization (surjective map) from a modular curve to E pulls back the 1-forms on E to give […]


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Effect of surface chemistry on incorporation of nanoparticles within calcite single crystals

Kavli Affiliate: Joanna Aizenberg | First 5 Authors: Giulia Magnabosco, Iryna Polishchuk, Francesco Palomba, Enrico Rampazzo, Luca Prodi | Summary: Inclusion of additives into calcite crystals allows one to embed non-native proprieties into the inorganic matrix and obtain new functional materials. Up to now, few parameters have been taken into account to evaluate the efficiency […]


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Spectral analysis on standard locally homogeneous spaces

Kavli Affiliate: Toshiyuki Kobayashi | Summary:Let $X=G/H$ be a reductive homogeneous space with $H$ noncompact, endowed with a $G$-invariant pseudo-Riemannian structure. Let $L$ be a reductive subgroup of $G$ acting properly on $X$ and $Γ$ a torsion-free discrete subgroup of $L$. Under the assumption that the complexification $X_mathbb C$ is $L_mathbb C$-spherical, we prove an […]


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Symmetry-breaking and spin-blockage effects on carrier dynamics in single-layer tungsten diselenide

Kavli Affiliate: Nathan Lewis | Summary:Understanding carrier creation and evolution in materials initiated by pulsed optical excitation is central to developing ultrafast optoelectronics. We demonstrate herein that the dynamic response of a system can be drastically modified when its physical dimension is reduced to the atomic scale, the ultimate limit of device miniaturization. A comparative […]


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Benchmarking the Neural Linear Model for Regression

Kavli Affiliate: Christopher Ober| First 5 Authors: Sebastian W. Ober, Sebastian W. Ober, , , | Summary:The neural linear model is a simple adaptive Bayesian linear regression method that has recently been used in a number of problems ranging from Bayesian optimization to reinforcement learning. Despite its apparent successes in these settings, to the best […]


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Optimizing neutron moderators for a spallation-driven ultracold-neutron source at TRIUMF

Kavli Affiliate: A. C. Davis | Summary:We report on our efforts to optimize the geometry of neutron moderators and converters for the TRIUMF UltraCold Advanced Neutron (TUCAN) source using MCNP simulations. It will use an existing spallation neutron source driven by a 19.3 kW proton beam delivered by TRIUMF’s 520 MeV cyclotron. Spallation neutrons will […]


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Mitigating the impact of fiber assignment on clustering measurements from deep galaxy redshift surveys

Kavli Affiliate: Naoyuki Tamura | Summary:We examine the impact of fiber assignment on clustering measurements from fiber-fed spectroscopic galaxy surveys. We identify new effects which were absent in previous, relatively shallow galaxy surveys such as Baryon Oscillation Spectroscopic Survey . Specifically, we consider deep surveys covering a wide redshift range from z=0.6 to z=2.4, as […]


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Hamiltonian deformations in quantum mechanics, $Tbar T$, and SYK

Kavli Affiliate: David J. Gross | First 5 Authors: David J. Gross, Jorrit Kruthoff, Andrew Rolph, Edgar Shaghoulian, | Summary: Motivated by $Tbar T$, we introduce and study a wide class of solvable deformations of quantum-mechanical theories. These deformations map the Hamiltonian to a function of itself. We solve these theories by computing all finite-temperature […]


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It’s easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets

Kavli Affiliate: Michael Brenner | First 5 Authors: Subhashini Venugopalan, Arunachalam Narayanaswamy, Samuel Yang, Anton Geraschenko, Scott Lipnick | Summary: Confounding variables are a well known source of nuisance in biomedical studies. They present an even greater challenge when we combine them with black-box machine learning techniques that operate on raw data. This work presents […]


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Ultrafast Tracking of Exciton and Charge Carrier Transport in Optoelectronic Materials on the Nanometer Scale

Kavli Affiliate: Philipp Kukura | Summary:We present a novel optical transient absorption and reflection microscope based on a diffraction-limited pump pulse in combination with a wide-field probe pulse, for the spatio-temporal investigation of ultrafast population transport in thin films. The microscope achieves a temporal resolution down to 12 fs and simultaneously provides sub-10 nm spatial […]


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