Nonrelativistic CFTs at Large Charge: Casimir Energy and Logarithmic Enhancements

Kavli Affiliate: Simeon Hellerman | First 5 Authors: Simeon Hellerman, Domenico Orlando, Vito Pellizzani, Susanne Reffert, Ian Swanson | Summary: The unitary Fermi gas, by virtue of its description as a nonrelativistic conformal field theory, has proven an interesting system by which the quantum properties of CFT can be held to experimental verification. Here, we […]


Continue.. Nonrelativistic CFTs at Large Charge: Casimir Energy and Logarithmic Enhancements

Nonrelativistic CFTs at Large Charge: Casimir Energy and Logarithmic Enhancements

Kavli Affiliate: Simeon Hellerman | First 5 Authors: Simeon Hellerman, Domenico Orlando, Vito Pellizzani, Susanne Reffert, Ian Swanson | Summary: The unitary Fermi gas, by virtue of its description as a nonrelativistic conformal field theory, has proven an interesting system by which the quantum properties of CFT can be held to experimental verification. Here, we […]


Continue.. Nonrelativistic CFTs at Large Charge: Casimir Energy and Logarithmic Enhancements

HSC Year 1 cosmology results with the minimal bias method: HSC$times$BOSS galaxy-galaxy weak lensing and BOSS galaxy clustering

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Sunao Sugiyama, Masahiro Takada, Hironao Miyatake, Takahiro Nishimichi, Masato Shirasaki | Summary: We present cosmological parameter constraints from a blinded joint analysis of galaxy-galaxy weak lensing, $Delta!Sigma(R)$, and projected correlation function, $w_mathrm{p}(R)$, measured from the first-year HSC (HSC-Y1) data and SDSS spectroscopic galaxies over $0.15<z<0.7$. We use […]


Continue.. HSC Year 1 cosmology results with the minimal bias method: HSC$times$BOSS galaxy-galaxy weak lensing and BOSS galaxy clustering

CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

Kavli Affiliate: Jia Liu | First 5 Authors: Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li | Summary: In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data. Previous methods either employ a complex pipeline which splits the joint task into […]


Continue.. CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

Broken Conformal Window

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Hitoshi Murayama, Bea Noether, Digvijay Roy Varier, , | Summary: We show that the edges of the conformal window of supersymmetric $SU(N_c)$ QCD, perturbed by Anomaly Mediated Supersymmetry Breaking (AMSB), break chiral symmetry. We do so by perturbatively expanding around Banks–Zaks fixed points and taking advantage of […]


Continue.. Broken Conformal Window

Broken Conformal Window

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Dan Kondo, Hitoshi Murayama, Bea Noether, Digvijay Roy Varier, | Summary: We show that near the edges of the conformal window of supersymmetric $SU(N_c)$ QCD, perturbed by Anomaly Mediated Supersymmetry Breaking (AMSB), chiral symmetry can be broken depending on the initial conditions of the RG flow. We […]


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In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Nicoletta Krachmalnicoff, Tomotake Matsumura, Elena de la Hoz, Soumen Basak, Alessandro Gruppuso | Summary: We present a demonstration of the in-flight polarization angle calibration for the JAXA/ISAS second strategic large class mission, LiteBIRD, and estimate its impact on the measurement of the tensor-to-scalar ratio parameter, r, using […]


Continue.. In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

Galaxy shapes of Light (GaLight): a 2D modeling of galaxy images

Kavli Affiliate: John D. Silverman | First 5 Authors: Xuheng Ding, Simon Birrer, Tommaso Treu, John D. Silverman, | Summary: Galight is a Python-based open-source package that can be used to perform two-dimensional model fitting of optical and near-infrared images to characterize the light distribution of galaxies with components including a disk, bulge, bar, and […]


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Inferring halo masses with Graph Neural Networks

Kavli Affiliate: David N. Spergel | First 5 Authors: Pablo Villanueva-Domingo, Francisco Villaescusa-Navarro, Daniel Anglés-Alcázar, Shy Genel, Federico Marinacci | Summary: Understanding the halo-galaxy connection is fundamental in order to improve our knowledge on the nature and properties of dark matter. In this work we build a model that infers the mass of a halo […]


Continue.. Inferring halo masses with Graph Neural Networks