The AGORA High-resolution Galaxy Simulations Comparison Project. V: Satellite Galaxy Populations In A Cosmological Zoom-in Simulation of A Milky Way-mass Halo

Posted by klaurent Stanford

Kavli Affiliate: Tom Abel | First 5 Authors: Minyong Jung, Santi Roca-Fàbrega, Ji-hoon Kim, Anna Genina, Loic Hausammann | Summary: We analyze and compare the satellite halo populations at $zsim2$ in the high-resolution cosmological zoom-in simulations of a $10^{12},{rm M}_{odot}$ target halo ($z=0$ mass) carried out on eight widely-used astrophysical simulation codes ({sc Art-I}, {sc […]


Continue.. The AGORA High-resolution Galaxy Simulations Comparison Project. V: Satellite Galaxy Populations In A Cosmological Zoom-in Simulation of A Milky Way-mass Halo

A short proof for Rankin–Cohen brackets and generating operators

Posted by dbos Tokyo

Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the concept of lqlq{generating operators}rqrq for a countable family of operators introduced in the recent paper (arXiv:2306.16800), we find a method to reconstruct the Rankin–Cohen brackets from a very simple multivariable contour integral, and obtain a new […]


Continue.. A short proof for Rankin–Cohen brackets and generating operators

A short proof for Rankin–Cohen brackets and generating operators

Posted by dbos Tokyo

Kavli Affiliate: Toshiyuki Kobayashi | First 5 Authors: Toshiyuki Kobayashi, Michael Pevzner, , , | Summary: Motivated by the concept of "generating operators" for a countable family of operators introduced in the recent paper (arXiv:2306.16800), we find a method to reconstruct the Rankin–Cohen brackets from a very simple multivariable contour integral, and obtain a new […]


Continue.. A short proof for Rankin–Cohen brackets and generating operators

The AGORA High-resolution Galaxy Simulations Comparison Project. VI. Similarities and Differences in the Circumgalactic Medium

Posted by klaurent Stanford

Kavli Affiliate: Tom Abel | First 5 Authors: Clayton Strawn, Santi Roca-Fàbrega, Joel R. Primack, Ji-hoon Kim, Anna Genina | Summary: We analyze the circumgalactic medium (CGM) for eight commonly-used cosmological codes in the AGORA collaboration. The codes are calibrated to use identical initial conditions, cosmology, heating and cooling, and star formation thresholds, but each […]


Continue.. The AGORA High-resolution Galaxy Simulations Comparison Project. VI. Similarities and Differences in the Circumgalactic Medium

On the evolution of the observed Mass-to-Length relationship for star-forming filaments

Posted by dbos Stanford

Kavli Affiliate: Susan E. Clark | First 5 Authors: Jiancheng Feng, Rowan J. Smith, Alvaro Hacar, Susan E. Clark, Daniel Seifried | Summary: The interstellar medium is threaded by a hierarchy of filaments from large scales (~ 100 pc) to small scales (~ 0.1pc). The masses and lengths of these nested structures may reveal important […]


Continue.. On the evolution of the observed Mass-to-Length relationship for star-forming filaments

Opening the AI black box: program synthesis via mechanistic interpretability

Posted by klaurent MIT

Kavli Affiliate: Max Tegmark | First 5 Authors: Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide | Summary: We present MIPS, a novel method for program synthesis based on automated mechanistic interpretability of neural networks trained to perform the desired task, auto-distilling the learned algorithm into Python code. We test MIPS on […]


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Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

A Novel Paradigm in Solving Multiscale Problems

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving paradigm is proposed through modelling large-scale dynamics […]


Continue.. A Novel Paradigm in Solving Multiscale Problems