Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Kavli Affiliate: Chihway Chang | First 5 Authors: Dhayaa Anbajagane, Shivam Pandey, Chihway Chang, , | Summary: Semi-analytic methods can generate baryon-corrected fields from N-body simulations (“baryonification”) and are rapidly becoming a ubiquitous tool in modeling structure formation on non-linear scales. We extend this formalism to consistently model the weak lensing and thermal Sunyaev-Zeldovich (tSZ) […]


Continue.. Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Kavli Affiliate: Chihway Chang | First 5 Authors: Dhayaa Anbajagane, Shivam Pandey, Chihway Chang, , | Summary: Semi-analytic methods can generate baryon-corrected fields from N-body simulations (“baryonification”) and are rapidly becoming a ubiquitous tool in modeling structure formation on non-linear scales. We extend this formalism to consistently model the weak lensing and thermal Sunyaev-Zeldovich (tSZ) […]


Continue.. Map-level baryonification: Efficient modelling of higher-order correlations in the weak lensing and thermal Sunyaev-Zeldovich fields

Discovering Dark Matter with the MUonE Experiment

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Isaac R. Wang, , | Summary: The MUonE experiment aims to extract the hardonic contribution the muon anomalous magnetic moment from a precise measurement of the muon-electron differential scattering cross section. We show that MUonE can also discover thermal relic dark matter using […]


Continue.. Discovering Dark Matter with the MUonE Experiment

Discovering Dark Matter with the MUonE Experiment

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Isaac R. Wang, , | Summary: The MUonE experiment aims to extract the hadronic contribution to the muon anomalous magnetic moment from a precise measurement of the muon-electron differential scattering cross section. We show that MUonE can also discover thermal relic dark matter […]


Continue.. Discovering Dark Matter with the MUonE Experiment

A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Thomas A. Callister, Reed Essick, Daniel E. Holz, , | Summary: Characterization of search selection effects comprises a core element of gravitational-wave data analysis. Knowledge of selection effects is needed to predict observational prospects for future surveys and is essential in the statistical inference of astrophysical […]


Continue.. A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Axion Dark Matter eXperiment around 3.3 μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: C. Bartram, C. Boutan, T. Braine, J. H. Buckley, T. J. Caligiure | Summary: We report the results of a QCD axion dark matter search with discovery ability for Dine-Fischler-Srednicki-Zhitnitsky (DFSZ) axions using an axion haloscope. Sub-Kelvin noise temperatures are reached with an ultra low-noise Josephson parametric […]


Continue.. Axion Dark Matter eXperiment around 3.3 μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability

Axion Dark Matter eXperiment around 3.3 μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: C. Bartram, C. Boutan, T. Braine, J. H. Buckley, T. J. Caligiure | Summary: We report the results of a QCD axion dark matter search with discovery ability for Dine-Fischler-Srednicki-Zhitnitsky (DFSZ) axions using an axion haloscope. Sub-Kelvin noise temperatures are reached with an ultra low-noise Josephson parametric […]


Continue.. Axion Dark Matter eXperiment around 3.3 μeV with Dine-Fischler-Srednicki-Zhitnitsky Discovery Ability