Unsupervised hyperspectral data mining and bioimaging by information entropy and self-modeling curve resolution

Posted by klaurent Oxford

Kavli Affiliate: Molly Stevens | Summary:Unsupervised estimation of the dimensionality of hyperspectral microspectroscopy datasets containing pure and mixed spectral features, and extraction of their representative endmember spectra, remains a challenge in biochemical data mining. We report a new versatile algorithm building on semi-nonnegativity constrained self-modeling curve resolution and information entropy, to estimate the quantity of […]


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A neural model of proximity to reward

Posted by klaurent Columbia

Kavli Affiliate: Costa, Rui | Authors: Paul Botros, Nuria Vendrell-Llopis, Rui Costa and Jose Carmena | Summary: Abstract Throughout learning, refinement of cortical activity in cortex, a process termed “credit assignment”, underlies the refinement of behavioral actions leading to reward. While previous research shows striatum’s role in linking behavior to reward, striatum’s role in linking […]


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The Aemulus Project VI: Emulation of beyond-standard galaxy clustering statistics to improve cosmological constraints

Posted by dbos Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Kate Storey-Fisher, Jeremy Tinker, Zhongxu Zhai, Joseph DeRose, Risa H. Wechsler | Summary: There is untapped cosmological information in galaxy redshift surveys in the non-linear regime. In this work, we use the AEMULUS suite of cosmological $N$-body simulations to construct Gaussian process emulators of galaxy clustering […]


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Observations of 4U 1626-67 with the Imaging X-ray Polarimetry Explorer

Posted by klaurent MIT

Kavli Affiliate: Norbert Schulz | Summary:We present measurements of the polarization of X-rays in the 2-8 keV band from the pulsar in the ultracompact low mass X-ray binary 4U1626-67 using data from the Imaging X-ray Polarimetry Explorer (IXPE). The 7.66 s pulsations were clearly detected throughout the IXPE observations as well as in the NICER […]


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Observations of 4U 1626-67 with the Imaging X-ray Polarimetry Explorer

Posted by dbos MIT

Kavli Affiliate: Norbert S. Schulz | First 5 Authors: Herman L. Marshall, Mason Ng, Daniele Rogantini, Jeremy Heyl, Sergey S. Tsygankov | Summary: We present measurements of the polarization of X-rays in the 2-8 keV band from the pulsar in the ultracompact low mass X-ray binary 4U1626-67 using data from the Imaging X-ray Polarimetry Explorer […]


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The hidden side of cosmic star formation at z > 3: Bridging optically-dark and Lyman break galaxies with GOODS-ALMA

Posted by klaurent Tokyo

Kavli Affiliate: John Silverman | First 5 Authors: Mengyuan Xiao, David Elbaz, Carlos Gómez-Guijarro, Lucas Leroy, Longji Bing | Summary: Our current understanding of the cosmic star formation history at z>3 is primarily based on UV-selected galaxies (i.e., LBGs). Recent studies of H-dropouts have revealed that we may be missing a large proportion of star […]


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Eccentricity to the rescue! Detecting Accelerating Eccentric Binaries in the LISA Band

Posted by klaurent Peking

Kavli Affiliate: Xian Chen | First 5 Authors: Zeyuan Xuan, Smadar Naoz, Xian Chen, , | Summary: Many gravitational wave (GW) sources in the LISA band are expected to have non-negligible eccentricity. Furthermore, many of them can undergo acceleration because they reside in the presence of a tertiary. Here we develop analytical and numerical methods […]


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Observational Constrains on Direct Electron Heating in Hot Accretion Flows from Sgr A* and M87*

Posted by klaurent Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Fu-Guo Xie, Ramesh Narayan, Feng Yuan, , | Summary: An important parameter in the theory of hot accretion flows around black holes is $delta$, which describes the fraction of “viscously” dissipated energy in the accretion flow that directly heats the electrons. The radiative efficiency of a hot […]


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CLAD: A Contrastive Learning based Approach for Background Debiasing

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Harshitha Machiraju, Oh-Hyeon Choung, Michael Herzog, Pascal Frossard | Summary: Convolutional neural networks (CNNs) have achieved superhuman performance in multiple vision tasks, especially image classification. However, unlike humans, CNNs leverage spurious features, such as background information to make decisions. This tendency creates different problems in […]


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