Noise Reduction Methods for Large-scale Intensity-mapping Measurements with Infrared Detector Arrays

Posted by klaurent Caltech

Kavli Affiliate: James Bock | First 5 Authors: Grigory Heaton, Walter Cook, James Bock, Jill Burnham, Sam Condon | Summary: Intensity mapping observations measure galaxy clustering fluctuations from spectral-spatial maps, requiring stable noise properties on large angular scales. We have developed specialized readouts and analysis methods for achieving large-scale noise stability with Teledyne 2048$times$2048 H2RG […]


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Developing integrated rate laws of complex self-assembly reactions using Lie symmetry: Kinetics of Abeta42, Abeta40 and Abeta38 co-aggregation

Posted by klaurent Harvard

Kavli Affiliate: L. Mahadevan | First 5 Authors: Alexander J. Dear, Georg Meisl, Sara Linse, L. Mahadevan, | Summary: The development of solutions to the kinetics of homomolecular self-assembly into amyloid fibrils using fixed-point methods, and their subsequent application to the analysis of in vitro kinetic experiments, has led to numerous advances in our understanding […]


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Discovery of X-ray Polarization from the Black Hole Transient Swift J1727.8-1613

Posted by klaurent MIT

Kavli Affiliate: Herman L. Marshall | First 5 Authors: Alexandra Veledina, Fabio Muleri, Michal Dovciak, Juri Poutanen, Ajay Ratheesh | Summary: We report the first detection of the X-ray polarization of the bright transient Swift J1727.8-1613 with the Imaging X-ray Polarimetry Explorer. The observation was performed at the beginning of the 2023 discovery outburst, when […]


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In-situ vs accreted Milky Way globular clusters: a new classification method and implications for cluster formation

Posted by klaurent Chicago

Kavli Affiliate: Andrey Kravtsov | First 5 Authors: Vasily Belokurov, Andrey Kravtsov, , , | Summary: We present a new scheme for the classification of the in-situ and accreted globular clusters (GCs). The scheme uses total energy $E$ and $z$-component of the orbital angular momentum and is calibrated using [Al/Fe] abundance ratio. We demonstrate that […]


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Simulating ionization feedback from young massive stars: impact of numerical resolution

Posted by klaurent MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]


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Simulating ionization feedback from young massive stars: impact of numerical resolution

Posted by dbos MIT

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yunwei Deng, Hui Li, Rahul Kannan, Aaron Smith, Mark Vogelsberger | Summary: Modelling galaxy formation in hydrodynamic simulations has increasingly adopted various radiative transfer methods to account for photoionization feedback from young massive stars. However, the evolution of HII regions around stars begins in dense star-forming clouds […]


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Kitaev chain in an alternating quantum dot-Andreev bound state array

Posted by klaurent Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


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Kitaev chain in an alternating quantum dot-Andreev bound state array

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Sebastian Miles, David van Driel, Michael Wimmer, Chun-Xiao Liu, | Summary: We propose to implement a Kitaev chain based on an array of alternating normal and superconductor hybrid quantum dots embedded in semiconductors. In particular, the orbitals in the dot and the Andreev bound states in the […]


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Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by klaurent Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: The application of Unbiased Learning to Rank (ULTR) is widespread in modern systems for training unbiased ranking models from biased click logs. The key is to explicitly model a generation process for user behavior and […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun | Summary: Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data based on examination hypothesis. Previous research found […]


Continue.. Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank