Extracting high-order cosmological information in galaxy surveys with power spectra

Kavli Affiliate: Chiaki Hikage | First 5 Authors: Yuting Wang, Gong-Bo Zhao, Kazuya Koyama, Will J. Percival, Ryuichi Takahashi | Summary: The reconstruction method was proposed more than a decade ago to boost the signal of baryonic acoustic oscillations measured in galaxy redshift surveys, which is one of key probes for dark energy. After moving […]


Continue.. Extracting high-order cosmological information in galaxy surveys with power spectra

Extracting high-order cosmological information in galaxy surveys with power spectra

Kavli Affiliate: Chiaki Hikage | First 5 Authors: Yuting Wang, Gong-Bo Zhao, Kazuya Koyama, Will J. Percival, Ryuichi Takahashi | Summary: The “reconstruction" method was proposed more than a decade ago to boost the signal of baryonic acoustic oscillations measured in galaxy redshift surveys, which is one of key probes for dark energy. After moving […]


Continue.. Extracting high-order cosmological information in galaxy surveys with power spectra

Extracting high-order cosmological information in galaxy surveys with power spectra

Kavli Affiliate: Chiaki Hikage | First 5 Authors: Yuting Wang, Gong-Bo Zhao, Kazuya Koyama, Will J. Percival, Ryuichi Takahashi | Summary: The reconstruction method was proposed more than a decade ago to boost the signal of baryonic acoustic oscillations measured in galaxy redshift surveys, which is one of key probes for dark energy. After moving […]


Continue.. Extracting high-order cosmological information in galaxy surveys with power spectra

Constructing graphs having Laplacian pair state transfer by an edge perturbation

Kavli Affiliate: Jing Wang | First 5 Authors: Wei Wang, Xiaogang Liu, Jing Wang, , | Summary: In this paper, we give some sufficient conditions for graphs with an edge perturbation between twin vertices to have Laplacian perfect pair state transfer as well as Laplacian pretty good pair state transfer. By those sufficient conditions, we […]


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InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

Kavli Affiliate: Ke Wang | First 5 Authors: Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo Mandic | Summary: Denoising diffusion probabilistic models (diffusion models for short) require a large number of iterations in inference to achieve the generation quality that matches or surpasses the state-of-the-art generative models, which invariably results in slow inference […]


Continue.. InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training

Predicting the Exoplanet Yield of the TESS Prime and Extended Missions Through Years 1-7

Kavli Affiliate: Roland Vanderspek | First 5 Authors: Michelle Kunimoto, Joshua N. Winn, George R. Ricker, Roland Vanderspek, | Summary: The Transiting Exoplanet Survey Satellite (TESS) has discovered $sim$5000 planets and planet candidates after three and a half years of observations. With a planned second Extended Mission spanning Years 5 – 7 on the horizon, […]


Continue.. Predicting the Exoplanet Yield of the TESS Prime and Extended Missions Through Years 1-7

Exceptional dynamics of interacting spin liquids

Kavli Affiliate: Frank Wilczek | First 5 Authors: Kang Yang, Daniel Varjas, Emil J. Bergholtz, Sid Morampudi, Frank Wilczek | Summary: We show that interactions in quantum spin liquids can result in non-Hermitian phenomenology that differs qualitatively from mean-field expectations. We demonstrate this in two prominent cases through the effects of phonons and disorder on […]


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Revisiting the Dark Matter Interpretation of Excess Rates in Semiconductors

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Peter Abbamonte, Daniel Baxter, Yonatan Kahn, Gordan Krnjaic, Noah Kurinsky | Summary: In light of recent results from low-threshold dark matter detectors, we revisit the possibility of a common dark matter origin for multiple excesses across numerous direct detection experiments, with a focus on the excess rates […]


Continue.. Revisiting the Dark Matter Interpretation of Excess Rates in Semiconductors