Emergent conformal boundaries from finite-entanglement scaling in matrix product states

Kavli Affiliate: Long Zhang | First 5 Authors: Rui-Zhen Huang, Long Zhang, Andreas M. Läuchli, Jutho Haegeman, Frank Verstraete | Summary: The use of finite entanglement scaling with matrix product states (MPS) has become a crucial tool for studying 1+1d critical lattice theories, especially those with emergent conformal symmetry. We argue that finite entanglement introduces […]


Continue.. Emergent conformal boundaries from finite-entanglement scaling in matrix product states

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Universal Asymptotics for High Energy CFT Data

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Jaeha Lee, Hirosi Ooguri, David Simmons-Duffin, | Summary: Equilibrium finite temperature observables of a CFT can be described by a local effective action for background fields — a "thermal effective action." This effective action determines the asymptotic density of states of a CFT as a […]


Continue.. Universal Asymptotics for High Energy CFT Data

Simulations of spin-driven AGN jets in gas-rich galaxy mergers

Kavli Affiliate: Debora Sijacki | First 5 Authors: Rosie Y. Talbot, Debora Sijacki, Martin A. Bourne, , | Summary: In this work, we use hydrodynamical simulations to explore the effects of kinetic AGN jet feedback on the progression and outcome of the major merger of two isolated, gas-rich galaxies. We present simulations that use the […]


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Problem specific classical optimization of Hamiltonian simulation

Kavli Affiliate: Felix Fischer | First 5 Authors: Refik Mansuroglu, Felix Fischer, Michael J. Hartmann, , | Summary: Nonequilibrium time evolution of large quantum systems is a strong candidate for quantum advantage. Variational quantum algorithms have been put forward for this task, but their quantum optimization routines suffer from trainability and sampling problems. Here, we […]


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Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$: Implications for Faint and Low-mass Populations in JWST

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Wenxiu Li, Kohei Inayoshi, Masafusa Onoue, Wanqiu He, Yoshiki Matsuoka | Summary: The evolution of the quasar luminosity function (QLF) is fundamental to understanding the cosmic evolution of black holes (BHs) through their accretion phases. In the era of the James Webb Space Telescope (JWST), Euclid, and […]


Continue.. Reconstruction of Cosmic Black Hole Growth and Mass Distribution from Quasar Luminosity Functions at $z>4$: Implications for Faint and Low-mass Populations in JWST

Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]


Continue.. Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Kavli Affiliate: Hu Zhan | First 5 Authors: Chen Qiu, Nicola R. Napolitano, Rui Li, Yuedong Fang, Crescenzo Tortora | Summary: Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions […]


Continue.. Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Little Red Dots: an abundant population of faint AGN at z~5 revealed by the EIGER and FRESCO JWST surveys

Kavli Affiliate: Robert A. Simcoe | First 5 Authors: Jorryt Matthee, Rohan P. Naidu, Gabriel Brammer, John Chisholm, Anna-Christina Eilers | Summary: Characterising the prevalence and properties of faint active galactic nuclei (AGN) in the early Universe is key for understanding the formation of supermassive black holes (SMBHs) and determining their role in cosmic reionization. […]


Continue.. Little Red Dots: an abundant population of faint AGN at z~5 revealed by the EIGER and FRESCO JWST surveys