Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter

Posted by klaurent Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Digvijay Wadekar, Leander Thiele, Francisco Villaescusa-Navarro, J. Colin Hill, Miles Cranmer | Summary: Complex systems (stars, supernovae, galaxies, and clusters) often exhibit low scatter relations between observable properties (e.g., luminosity, velocity dispersion, oscillation period, temperature). These scaling relations can illuminate the underlying physics and can provide […]


Continue.. Augmenting astrophysical scaling relations with machine learning : application to reducing the SZ flux-mass scatter

Evidence of large recoil velocity from a black hole merger signal

Posted by klaurent MIT

Kavli Affiliate: Salvatore Vitale | First 5 Authors: Vijay Varma, Sylvia Biscoveanu, Tousif Islam, Feroz H. Shaik, Carl-Johan Haster | Summary: The final black hole left behind after a binary black hole merger can attain a recoil velocity, or a "kick", reaching values up to 5000 km/s. This phenomenon has important implications for gravitational wave […]


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The CAMELS project: public data release

Posted by klaurent Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar, Lucia A. Perez, Pablo Villanueva-Domingo | Summary: The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynamic simulations and machine learning. CAMELS contains 4,233 cosmological simulations, 2,049 N-body […]


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Classification of solutions to several semi-linear polyharmonic equations and fractional equations

Posted by klaurent Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhuoran Du, Zhenping Feng, Yuan Li, , | Summary: We are concerned with the following semi-linear polyharmonic equation with integral constraint begin{align} left{begin{array}{rl} &(-Delta)^pu=u^gamma_+ ~~ mbox{ in }{mathbb{R}^n},\ nonumber &int_{mathbb{R}^n}u_+^{gamma}dx<+infty, end{array}right. end{align} where $n>2p$, $pgeq2$ and $pinmathbb{Z}$. We obtain for $gammain(1,frac{n}{n-2p})$ that any nonconstant solution satisfying certain […]


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Current Challenges in Cepheid Distance Calibrations Using Gaia EDR3

Posted by Chicago

Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Kayla A. Owens, Wendy L. Freedman, Barry F. Madore, Abigail J. Lee, | Summary: Using parallaxes from Gaia Early Data Release 3 (EDR3), we determine multi-wavelength BVI, JHK, and [3.6] & [4.5] micron absolute magnitudes for 37 nearby Milky Way Cepheids, covering the period range between […]


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A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More

Posted by klaurent MIT

Kavli Affiliate: Avi Shporer | First 5 Authors: Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu | Summary: We demonstrate that a neural network pre-trained on text and fine-tuned on code solves Mathematics problems by program synthesis. We turn questions into programming tasks, automatically generate programs, and then execute them, perfectly solving university-level […]


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A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level

Posted by klaurent MIT

Kavli Affiliate: Avi Shporer | First 5 Authors: Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu | Summary: We demonstrate that a neural network pre-trained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates new questions at a human level. We automatically synthesize programs using few-shot learning and […]


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QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Jiayi Wang, Ke Wang, Boxing Chen, Yu Zhao, Weihua Luo | Summary: Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quality of machine translation results without reference translations. […]


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DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification

Posted by klaurent Chicago

Kavli Affiliate: Brian Nord | First 5 Authors: Aleksandra Ćiprijanović, Diana Kafkes, Gregory Snyder, F. Javier Sánchez, Gabriel Nathan Perdue | Summary: Data processing and analysis pipelines in cosmological survey experiments introduce data perturbations that can significantly degrade the performance of deep learning-based models. Given the increased adoption of supervised deep learning methods for processing […]


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