ICM-SHOX. Paper I: Methodology overview and discovery of a gas–dark matter velocity decoupling in the MACS J0018.5+1626 merger

Posted by Caltech

Kavli Affiliate: Sunil Golwala | First 5 Authors: Emily M. Silich, Elena Bellomi, Jack Sayers, John ZuHone, Urmila Chadayammuri | Summary: Galaxy cluster mergers are rich sources of information to test cluster astrophysics and cosmology. However, cluster mergers produce complex projected signals that are difficult to interpret physically from individual observational probes. Multi-probe constraints on […]


Continue.. ICM-SHOX. Paper I: Methodology overview and discovery of a gas–dark matter velocity decoupling in the MACS J0018.5+1626 merger

ICM-SHOX. Paper I: Methodology overview and discovery of a baryon–dark matter velocity decoupling in the MACS J0018.5+1626 merger

Posted by klaurent Caltech

Kavli Affiliate: Sunil Golwala | First 5 Authors: Emily M. Silich, Elena Bellomi, Jack Sayers, John ZuHone, Urmila Chadayammuri | Summary: Galaxy cluster mergers are rich sources of information to test cluster astrophysics and cosmology. However, cluster mergers produce complex projected signals that are difficult to interpret physically from individual observational probes. Multi-probe constraints on […]


Continue.. ICM-SHOX. Paper I: Methodology overview and discovery of a baryon–dark matter velocity decoupling in the MACS J0018.5+1626 merger

Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Posted by dbos Chicago

Kavli Affiliate: Lindsey Bleem | First 5 Authors: Josemanuel Hernandez, Lindsey Bleem, Thomas Crawford, Nicholas Huang, Yuuki Omori | Summary: We explore the relationship between the thermal Sunyaev-Zel’dovich (tSZ) power spectrum amplitude and the halo mass and redshift of galaxy clusters in South Pole Telescope (SPT) data, in comparison with three $N$-body simulations combined with […]


Continue.. Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Posted by dbos Chicago

Kavli Affiliate: Lindsey Bleem | First 5 Authors: Josemanuel Hernandez, Lindsey Bleem, Thomas Crawford, Nicholas Huang, Yuuki Omori | Summary: We explore the relationship between the thermal Sunyaev-Zel’dovich (tSZ) power spectrum amplitude and the halo mass and redshift of galaxy clusters in South Pole Telescope (SPT) data, in comparison with three $N$-body simulations combined with […]


Continue.. Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Posted by dbos Chicago

Kavli Affiliate: Lindsey Bleem | First 5 Authors: Josemanuel Hernandez, Lindsey Bleem, Thomas Crawford, Nicholas Huang, Yuuki Omori | Summary: We explore the relationship between the thermal Sunyaev-Zel’dovich (tSZ) power spectrum amplitude and the halo mass and redshift of galaxy clusters in South Pole Telescope (SPT) data, in comparison with three $N$-body simulations combined with […]


Continue.. Dissecting the Thermal SZ Power Spectrum by Halo Mass and Redshift in SPT-SZ Data and Simulations

Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Posted by dbos Cornell

Kavli Affiliate: Dan Luo | First 5 Authors: Shun Lei, Yixuan Zhou, Liyang Chen, Dan Luo, Zhiyong Wu | Summary: Zero-shot text-to-speech (TTS) synthesis aims to clone any unseen speaker’s voice without adaptation parameters. By quantizing speech waveform into discrete acoustic tokens and modeling these tokens with the language model, recent language model-based TTS models […]


Continue.. Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Posted by klaurent Cornell

Kavli Affiliate: Dan Luo | First 5 Authors: Shun Lei, Yixuan Zhou, Liyang Chen, Dan Luo, Zhiyong Wu | Summary: Zero-shot text-to-speech (TTS) synthesis aims to clone any unseen speaker’s voice without adaptation parameters. By quantizing speech waveform into discrete acoustic tokens and modeling these tokens with the language model, recent language model-based TTS models […]


Continue.. Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

On the maximum local mean order of sub-k-trees of a k-tree

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Tianlong Ma, Fengming Dong, Xian’an Jin, | Summary: For a k-tree T, a generalization of a tree, the local mean order of sub-k-trees of T is the average order of sub-k-trees of T containing a given k-clique. The problem whether the largest local mean order […]


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The Impact of Silence on Speech Anti-Spoofing

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Yuxiang Zhang, Zhuo Li, Jingze Lu, Hua Hua, Wenchao Wang | Summary: The current speech anti-spoofing countermeasures (CMs) show excellent performance on specific datasets. However, removing the silence of test speech through Voice Activity Detection (VAD) can severely degrade performance. In this paper, the impact of silence […]


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MarkNerf:Watermarking for Neural Radiance Field

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Lifeng Chen, Jia Liu, Yan Ke, Wenquan Sun, Weina Dong | Summary: A watermarking algorithm is proposed in this paper to address the copyright protection issue of implicit 3D models. The algorithm involves embedding watermarks into the images in the training set through an embedding network, and […]


Continue.. MarkNerf:Watermarking for Neural Radiance Field