Gopakumar-Vafa type invariants of holomorphic symplectic 4-folds

Kavli Affiliate: Yukinobu Toda | First 5 Authors: Yalong Cao, Georg Oberdieck, Yukinobu Toda, , | Summary: Using reduced Gromov-Witten theory, we define new invariants which capture the enumerative geometry of curves on holomorphic symplectic 4-folds. The invariants are analogous to the BPS counts of Gopakumar and Vafa for Calabi-Yau 3-folds, Klemm and Pandharipande for […]


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Comparing weak lensing peak counts in baryonic correction models to hydrodynamical simulations

Kavli Affiliate: Jia Liu | First 5 Authors: Max E. Lee, Tianhuan Lu, Zoltán Haiman, Jia Liu, Ken Osato | Summary: Next-generation weak lensing (WL) surveys, such as by the Vera Rubin Observatory’s LSST, the $textit{Roman}$ Space Telescope, and the $textit{Euclid}$ space mission, will supply vast amounts of data probing small, highly nonlinear scales. Extracting […]


Continue.. Comparing weak lensing peak counts in baryonic correction models to hydrodynamical simulations

New Physics Searches at Kaon and Hyperon Factories

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Evgueni Goudzovski, Diego Redigolo, Kohsaku Tobioka, Jure Zupan, Gonzalo Alonso-Alvarez | Summary: Rare meson decays are among the most sensitive probes of both heavy and light new physics. Among them, new physics searches using kaons benefit from their small total decay widths and the availability of very […]


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Cold Atoms in Space: Community Workshop Summary and Proposed Road-Map

Kavli Affiliate: Yevgeny V. Stadnik | First 5 Authors: Ivan Alonso, Cristiano Alpigiani, Brett Altschul, Henrique Araujo, Gianluigi Arduini | Summary: We summarize the discussions at a virtual Community Workshop on Cold Atoms in Space concerning the status of cold atom technologies, the prospective scientific and societal opportunities offered by their deployment in space, and […]


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Probabilistic Mass Mapping with Neural Score Estimation

Kavli Affiliate: Jia Liu | First 5 Authors: Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck | Summary: Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, the recovery of dark matter maps constitutes […]


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Current Challenges in Cepheid Distance Calibrations Using Gaia EDR3

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Kayla A. Owens, Wendy L. Freedman, Barry F. Madore, Abigail J. Lee, | Summary: Using parallaxes from Gaia Early Data Release 3 (EDR3), we determine multi-wavelength BVI, JHK, and [3.6] & [4.5] micron absolute magnitudes for 37 nearby Milky Way Cepheids, covering the period range between […]


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RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes

Kavli Affiliate: Salman Habib | First 5 Authors: Salman Habib, Allison Beemer, Joerg Kliewer, , | Summary: In this work we propose RELDEC, a novel approach for sequential decoding of moderate length low-density parity-check (LDPC) codes. The main idea behind RELDEC is that an optimized decoding policy is subsequently obtained via reinforcement learning based on […]


Continue.. RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes