TESS Giants Transiting Giants II: The hottest Jupiters orbiting evolved stars

Kavli Affiliate: Alan M. Levine | First 5 Authors: Samuel K. Grunblatt, Nicholas Saunders, Meng Sun, Ashley Chontos, Melinda Soares-Furtado | Summary: Giant planets on short-period orbits are predicted to be inflated and eventually engulfed by their host stars. However, the detailed timescales and stages of these processes are not well known. Here we present […]


Continue.. TESS Giants Transiting Giants II: The hottest Jupiters orbiting evolved stars

Closing the spontaneous-scalarization window with binary pulsars

Kavli Affiliate: Lijing Shao | First 5 Authors: Junjie Zhao, Paulo C. C. Freire, Michael Kramer, Lijing Shao, Norbert Wex | Summary: Benefitting from the unequaled precision of the pulsar timing technique, binary pulsars are important testbeds of gravity theories, providing some of the tightest bounds on alternative theories of gravity. One class of well-motivated […]


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The ALMaQUEST Survey IX: The nature of the resolved star forming main sequence

Kavli Affiliate: Roberto Maiolino | First 5 Authors: William M. Baker, Roberto Maiolino, Asa F. L. Bluck, Lihwai Lin, Sara L. Ellison | Summary: We investigate the nature of the scaling relations between the surface density of star formation rate ($Sigma _{rm SFR}$), stellar mass ($Sigma _*$), and molecular gas mass ($Sigma _{rm H_2}$), aiming […]


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Systematic exploration of heavy element nucleosynthesis in protomagnetar outflows

Kavli Affiliate: Shunsaku Horiuchi | First 5 Authors: Nick Ekanger, Mukul Bhattacharya, Shunsaku Horiuchi, , | Summary: We study the nucleosynthesis products in neutrino-driven winds from rapidly rotating, highly magnetised and misaligned protomagnetars using the nuclear reaction network SkyNet. We adopt a semi-analytic parameterized model for the protomagnetar and systematically study the capabilities of its […]


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A pair of Sub-Neptunes transiting the bright K-dwarf TOI-1064 characterised with CHEOPS

Kavli Affiliate: George R. Ricker | First 5 Authors: Thomas G. Wilson, Elisa Goffo, Yann Alibert, Davide Gandolfi, Andrea Bonfanti | Summary: We report the discovery and characterisation of a pair of sub-Neptunes transiting the bright K-dwarf TOI-1064 (TIC 79748331), initially detected in TESS photometry. To characterise the system, we performed and retrieved CHEOPS, TESS, […]


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GRChombo: An adaptable numerical relativity code for fundamental physics

Kavli Affiliate: Ulrich Sperhake | First 5 Authors: Tomas Andrade, Llibert Areste Salo, Josu C. Aurrekoetxea, Jamie Bamber, Katy Clough | Summary: GRChombo is an open-source code for performing Numerical Relativity time evolutions, built on top of the publicly available Chombo software for the solution of PDEs. Whilst GRChombo uses standard techniques in NR, it […]


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Probing quantum many-body scars on a superconducting processor

Kavli Affiliate: Ke Wang | First 5 Authors: Pengfei Zhang, Hang Dong, Yu Gao, Liangtian Zhao, Jie Hao | Summary: Thermalization in complex and strongly interacting quantum many-body systems represents an obstacle to applications. It was recently suggested theoretically that quantum many-body scarring (QMBS) states embedded in the thermalized energy spectrum can overcome this difficulty. […]


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Many-body Hilbert space scarring on a superconducting processor

Kavli Affiliate: Ke Wang | First 5 Authors: Pengfei Zhang, Hang Dong, Yu Gao, Liangtian Zhao, Jie Hao | Summary: Quantum many-body scarring (QMBS) — a recently discovered form of weak ergodicity breaking in strongly-interacting quantum systems — presents opportunities for mitigating thermalization-induced decoherence in quantum information processsing. However, the existing experimental realizations of QMBS […]


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Preserving Domain Private Representation via Mutual Information Maximization

Kavli Affiliate: Jing Wang | First 5 Authors: Jiahong Chen, Jing Wang, Weipeng Lin, Kuangen Zhang, Clarence W. de Silva | Summary: Recent advances in unsupervised domain adaptation have shown that mitigating the domain divergence by extracting the domain-invariant representation could significantly improve the generalization of a model to an unlabeled data domain. Nevertheless, the […]


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