Zobrazeno 1 - 10
of 437 132
pro vyhledávání: '"A Hannah"'
Simulating large, strongly interacting fermionic systems remains a major challenge for existing numerical methods. In this work, we present, for the first time, the application of neural quantum states - specifically, hidden fermion determinant state
Externí odkaz:
http://arxiv.org/abs/2411.10430
Autor:
Collier, Hannah, Hayes, Laura A., Purkhart, Stefan, Krucker, Säm, Ryan, Daniel F., Polito, Vanessa, Veronig, Astrid M., Harra, Louise K., Berghmans, David, Kraaikamp, Emil, Dominique, Marie, Dolla, Laurent R., Verbeeck, Cis
Aims: This paper aims to demonstrate the importance of short-exposure extreme ultraviolet (EUV) observations of solar flares in the study of particle acceleration, heating and energy partition in flares. This work highlights the observations now avai
Externí odkaz:
http://arxiv.org/abs/2411.09319
Autor:
Larson, Hannah, Vakil, Ravi
We state and prove a form of Bott periodicity (for $U(n)$) in an algebraic setting (so, $GL(n)$) which makes sense over $\mathbb{Z}$, which also specializes to Bott periodicity in the usual sense (hence giving yet another proof of classical Bott peri
Externí odkaz:
http://arxiv.org/abs/2411.09122
Autor:
Bellenbaum, Hannah M., Bachmann, Benjamin, Kraus, Dominik, Gawne, Thomas, Böhme, Maximilian P., Döppner, Tilo, Fletcher, Luke B., MacDonald, Michael J., Moldabekov, Zhandos A., Preston, Thomas R., Vorberger, Jan, Dornheim, Tobias
Warm dense matter (WDM) plays an important role in astrophysical objects and technological applications, but the rigorous diagnostics of corresponding experiments is notoriously difficult. In this work, we present a model-free analysis of x-ray Thoms
Externí odkaz:
http://arxiv.org/abs/2411.06830
Autor:
Awadalla, Anas, Xue, Le, Shu, Manli, Yan, An, Wang, Jun, Purushwalkam, Senthil, Shen, Sheng, Lee, Hannah, Lo, Oscar, Park, Jae Sung, Guha, Etash, Savarese, Silvio, Schmidt, Ludwig, Choi, Yejin, Xiong, Caiming, Xu, Ran
We introduce BLIP3-KALE, a dataset of 218 million image-text pairs that bridges the gap between descriptive synthetic captions and factual web-scale alt-text. KALE augments synthetic dense image captions with web-scale alt-text to generate factually
Externí odkaz:
http://arxiv.org/abs/2411.07461
Autor:
Earnshaw, Hannah P., Patti, Gauri, Brightman, Murray, Sathyaprakash, Rajath, Walton, Dominic J., Fuerst, Felix, Roberts, Timothy P., Harrison, Fiona A.
We present preliminary results of a Chandra Large Program to monitor the ultraluminous X-ray source (ULX) populations of three nearby, ULX-rich galaxies over the course of a year, finding the ULX population to show a variety of long-term variability
Externí odkaz:
http://arxiv.org/abs/2411.07459
Autor:
Lee, Lilian L., Schreiber, Natascha M. Förster, Price, Sedona H., Liu, Daizhong, Genzel, Reinhard, Davies, Richard I, Tacconi, Linda J., Shimizu, Thomas T., Shachar, Amit Nestor, Salcedo, Juan M. Espejo, Pastras, Stavros, Wuyts, Stijn, Lutz, Dieter, Renzini, Alvio, Übler, Hannah D., Herrera-Camus, Rodrigo, Sternberg, Amiel
Spatially-resolved emission line kinematics are invaluable to investigating fundamental galaxy properties and have become increasingly accessible for galaxies at $z\gtrsim0.5$ through sensitive near-infrared imaging spectroscopy and millimeter interf
Externí odkaz:
http://arxiv.org/abs/2411.07312
Autor:
McAleese, Hannah, Agrawal, Anuj, Vasan, Vivek, Campbell, Conall J., Hawkins, Adam G., Kilper, Daniel C., Paternostro, Mauro, Ruffini, Marco
Distributing entanglement over long distances remains a challenge due to its fragility when exposed to environmental effects. In this work, we compare various entanglement distribution protocols in a realistic noisy fiber network. We focus specifical
Externí odkaz:
http://arxiv.org/abs/2411.07306
Autor:
Ambrose, Hannah E., Whitworth, A. P.
We explore the relative percentages of binary systems and higher-order multiples that are formed by pure stellar dynamics, within a small subcluster of $N$ stars. The subcluster is intended to represent the fragmentation products of a single isolated
Externí odkaz:
http://arxiv.org/abs/2411.07290
Autor:
Ibarra-García-Padilla, Eduardo, Lange, Hannah, Melko, Roger G, Scalettar, Richard T, Carrasquilla, Juan, Bohrdt, Annabelle, Khatami, Ehsan
Neural quantum states (NQS) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly-correlated systems. Here, we apply recurrent neural networks (RNNs) and autoregressive transformer neural networks to the Fermi-Hubb
Externí odkaz:
http://arxiv.org/abs/2411.07144