Zobrazeno 1 - 10
of 57 215
pro vyhledávání: '"A, Faber"'
Autor:
Schmidt, Paul Philip, Hartmann, Felix, Faber, Lea, Metzler, Ralf, Anders, Janet, Hoffmann-Vogel, Regina
Pb on Si(111)-(7x7) shows surprising nucleation and mass transport dynamics at odds with standard theories. To create local imbalances on stable Pb islands we use the tip of a scanning force microscope. We enforce a short, local contact between the i
Externí odkaz:
http://arxiv.org/abs/2412.03337
Autor:
Faber, Eleonore, Schober, Bernd
We study the connection between Conway-Coxeter frieze patterns and the data of the minimal resolution of a complex curve singularity: using Popescu-Pampu's notion of the lotus of a singularity, we describe a bijection between the dual resolution grap
Externí odkaz:
http://arxiv.org/abs/2412.02422
Autor:
Arenas, Javier Quintero, Cartaya, Claudia Quinteros, Lafarga, Andrea Padilla, Moraila, Carlos, Faber, Johannes, Koehler, Jonas, Srivastava, Nishtha
Earthquake early warning systems are crucial for protecting areas that are subject to these natural disasters. An essential part of these systems is the detection procedure. Traditionally these systems work with seismograph data, but high rate GNSS d
Externí odkaz:
http://arxiv.org/abs/2412.00264
Autor:
Faber, Jonas Thoen, Joshi, Reetika, van der Voort, Luc Rouppe, Wedemeyer, Sven, Fletcher, Lyndsay, Aulanier, Guillaume, Nóbrega-Siverio, Daniel
Context. Since the mechanism of energy release from solar flares is still not fully understood, the study of fine-scale features developing during flares becomes important for progressing towards a consistent picture of the essential physical mechani
Externí odkaz:
http://arxiv.org/abs/2411.18233
This paper presents a comprehensive framework aimed at enhancing education in modeling, optimal control, and nonlinear Model Predictive Control~(MPC) through a practical greenhouse climate control model. The framework includes a detailed mathematical
Externí odkaz:
http://arxiv.org/abs/2410.23793
Artificial intelligence plays a crucial role in robotics, with reinforcement learning (RL) emerging as one of the most promising approaches for robot control. However, several key challenges hinder its broader application. First, many RL methods rely
Externí odkaz:
http://arxiv.org/abs/2410.06347
Autor:
Sharma, Kritti, Ravi, Vikram, Connor, Liam, Law, Casey, Ocker, Stella Koch, Sherman, Myles, Kosogorov, Nikita, Faber, Jakob, Hallinan, Gregg, Harnach, Charlie, Hellbourg, Greg, Hobbs, Rick, Hodge, David, Hodges, Mark, Lamb, James, Rasmussen, Paul, Somalwar, Jean, Weinreb, Sander, Woody, David, Leja, Joel, Anand, Shreya, Das, Kaustav Kashyap, Qin, Yu-Jing, Rose, Sam, Dong, Dillon Z., Miller, Jessie, Yao, Yuhan
Fast Radio Bursts (FRBs) are millisecond-duration events detected from beyond the Milky Way. FRB emission characteristics favor highly magnetized neutron stars, or magnetars, as the sources, as evidenced by FRB-like bursts from a galactic magnetar, a
Externí odkaz:
http://arxiv.org/abs/2409.16964
Autor:
Connor, Liam, Ravi, Vikram, Sharma, Kritti, Ocker, Stella Koch, Faber, Jakob, Hallinan, Gregg, Harnach, Charlie, Hellbourg, Greg, Hobbs, Rick, Hodge, David, Hodges, Mark, Kosogorov, Nikita, Lamb, James, Law, Casey, Rasmussen, Paul, Sherman, Myles, Somalwar, Jean, Weinreb, Sander, Woody, David
Approximately half of the Universe's dark matter resides in collapsed halos; significantly less than half of the baryonic matter (protons and neutrons) remains confined to halos. A small fraction of baryons are in stars and the interstellar medium wi
Externí odkaz:
http://arxiv.org/abs/2409.16952
Autor:
Wang, Xiaohan, Luo, Yifei, Faber, S. M., Koo, David C., Mao, Shude, Westfall, Kyle B., Lu, Shengdong, Wang, Weichen, Bundy, Kevin, Boardman, N., Avila-Reese, Vladimir, Fernández-Trincado, José G., Lane, Richard R.
We investigate how the stellar rotational support changes as a function of spatially resolved stellar population age ($\rm D_n4000$) and relative central stellar surface density ($\Delta \Sigma_1$) for MaNGA isolated/central disk galaxies. We find th
Externí odkaz:
http://arxiv.org/abs/2408.02669
Multiple Object Tracking (MOT) is a computer vision task that has been employed in a variety of sectors. Some common limitations in MOT are varying object appearances, occlusions, or crowded scenes. To address these challenges, machine learning metho
Externí odkaz:
http://arxiv.org/abs/2407.18288