Towards windproofing LIGO: Reducing the effect of wind-driven floor tilt by using rotation sensors in active seismic isolation

Posted by klaurent MIT

Kavli Affiliate: Richard Mittleman | First 5 Authors: Michael P. Ross, Krishna Venkateswara, Conor Mow-Lowry, Sam Cooper, Jim Warner | Summary: Modern gravitational-wave observatories require robust low-frequency active seismic isolation in order to keep the interferometer at its ideal operating conditions. Seismometers are used to measure both the motion of the ground and isolated platform. […]


Continue.. Towards windproofing LIGO: Reducing the effect of wind-driven floor tilt by using rotation sensors in active seismic isolation

Towards windproofing LIGO: Reducing the effect of wind-driven floor tilt by using rotation sensors in active seismic isolation

Posted by klaurent Stanford

Kavli Affiliate: Brian Lantz | First 5 Authors: Michael P. Ross, Krishna Venkateswara, Conor Mow-Lowry, Sam Cooper, Jim Warner | Summary: Modern gravitational-wave observatories require robust low-frequency active seismic isolation in order to keep the interferometer at its ideal operating conditions. Seismometers are used to measure both the motion of the ground and isolated platform. […]


Continue.. Towards windproofing LIGO: Reducing the effect of wind-driven floor tilt by using rotation sensors in active seismic isolation

Absorption line abundances in the SMC-like galaxy UGC 5282: evidence for ISM dilution from inflows on kiloparsec scales

Posted by klaurent Chicago

Kavli Affiliate: Donald G. York | First 5 Authors: David V. Bowen, Todd M. Tripp, Edward B. Jenkins, Max Pettini, Doron Chelouche | Summary: We present an HST Cosmic Origins Spectrograph (COS) spectrum of the QSO SDSS J095109.12+330745.8 ($z_{em} = 0.645$) whose sightline passes through the SMC-like dwarf galaxy UGC 5282 ($M_B = -16.0$, $cz […]


Continue.. Absorption line abundances in the SMC-like galaxy UGC 5282: evidence for ISM dilution from inflows on kiloparsec scales

Systematic Phase Curve Study of Known Transiting Systems from Year 1 of the TESS Mission

Posted by klaurent MIT

Kavli Affiliate: Robert F. Goeke | First 5 Authors: Ian Wong, Avi Shporer, Tansu Daylan, Björn Benneke, Tara Fetherolf | Summary: We present a systematic phase curve analysis of known transiting systems observed by the Transiting Exoplanet Survey Satellite (TESS) during year one of the primary mission. Using theoretical predictions for the amplitude of the […]


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Lagrangian Neural Networks

Posted by klaurent Tokyo

Kavli Affiliate: David Spergel | First 5 Authors: Miles Cranmer, Sam Greydanus, Stephan Hoyer, Peter Battaglia, David Spergel | Summary: Accurate models of the world are built upon notions of its underlying symmetries. In physics, these symmetries correspond to conservation laws, such as for energy and momentum. Yet even though neural network models see increasing […]


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Enhancing a Near-Term Quantum Accelerator’s Instruction Set Architecture for Materials Science Applications

Posted by klaurent Delft

Kavli Affiliate: Leonardo Dicarlo | First 5 Authors: Xiang Zou, Shavindra P. Premaratne, M. Adriaan Rol, Sonika Johri, Viacheslav Ostroukh | Summary: Quantum computers with tens to hundreds of noisy qubits are being developed today. To be useful for real-world applications, we believe that these near-term systems cannot simply be scaled-down non-error-corrected versions of future […]


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Twist Gap and Global Symmetry in Two Dimensions

Posted by klaurent Tokyo

Kavli Affiliate: Hirosi Ooguri | First 5 Authors: Nathan Benjamin, Hirosi Ooguri, Shu-Heng Shao, Yifan Wang, | Summary: We show that every compact, unitary two-dimensional CFT with an abelian conserved current has vanishing twist gap for charged primary fields with respect to the $mathfrak{u}(1)times$Virasoro algebra. This means that either the chiral algebra is enhanced by […]


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On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks

Posted by klaurent Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu, | Summary: Deep convolutional neural networks (CNNs) trained with logistic and softmax losses have made significant advancement in visual recognition tasks in computer vision. When training data exhibit class imbalances, the class-wise reweighted version of logistic and softmax […]


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Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations

Posted by klaurent Berkeley

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Xiaowei Xie, Kristin A. Persson, David W. Small, , | Summary: Machine Learning (ML) approximations to Density Functional Theory (DFT) potential energy surfaces (PESs) are showing great promise for reducing the computational cost of accurate molecular simulations, but at present they are not applicable to varying […]


Continue.. Incorporating electronic information into Machine Learning potential energy surfaces via approaching the ground-state electronic energy as a function of atom-based electronic populations