Zobrazeno 1 - 10
of 6 269
pro vyhledávání: '"P, Timmerman"'
Autor:
van Weeren, R. J., Timmerman, R., Vaidya, V., Gendron-Marsolais, M. -L., Botteon, A., Roberts, I. D., Hlavacek-Larrondo, J., Bonafede, A., Brüggen, M., Brunetti, G., Cassano, R., Cuciti, V., Edge, A. C., Gastaldello, F., Groeneveld, C., Shimwell, T. W.
The Perseus cluster is the brightest X-ray cluster in the sky and is known as a cool-core galaxy cluster. Being a very nearby cluster, it has been extensively studied. This has provided a comprehensive view of the physical processes that operate in t
Externí odkaz:
http://arxiv.org/abs/2410.02863
Autor:
Diepeveen, N. A., Pereira, C. Robalo, Mazzanti, M., Ackerman, Z. E. D., Gallagher, L. P. H., Timmerman, T., Gerritsma, R., Schüssler, R. X.
We present spectroscopic data for four metastable state clear-out transitions between 399 nm and 412 nm for all even long-lived isotopes of Yb$^+$ as well as their hyperfine structure in $^{171}$Yb$^+$. The strong $^2 \rm{D}_{3/2} \rightarrow {}^1[1/
Externí odkaz:
http://arxiv.org/abs/2408.07380
Training intelligent agents to navigate highly interactive environments presents significant challenges. While guided meta reinforcement learning (RL) approach that first trains a guiding policy to train the ego agent has proven effective in improvin
Externí odkaz:
http://arxiv.org/abs/2407.15839
Autor:
Rutherford, Nathan, Mendes, Melissa, Svensson, Isak, Schwenk, Achim, Watts, Anna L., Hebeler, Kai, Keller, Jonas, Prescod-Weinstein, Chanda, Choudhury, Devarshi, Raaijmakers, Geert, Salmi, Tuomo, Timmerman, Patrick, Vinciguerra, Serena, Guillot, Sebastien, Lattimer, James M.
Publikováno v:
ApJ Letters, 971, L19 (2024)
Pulse profile modeling of X-ray data from NICER is now enabling precision inference of neutron star mass and radius. Combined with nuclear physics constraints from chiral effective field theory ($\chi$EFT), and masses and tidal deformabilities inferr
Externí odkaz:
http://arxiv.org/abs/2407.06790
Autor:
Zhang, Haozhao, Dohopolski, Michael, Stojadinovic, Strahinja, Giuliani, Luiza, Anand, Soummitra, Kim, Heejung, Pompos, Arnold, Godley, Andrew, Jiang, Steve, Dan, Tu, Wardak, Zabi, Timmerman, Robert, Peng, Hao
Purpose: We aimed to develop a data-driven multiomics approach integrating radiomics, dosiomics, and delta features to predict treatment response at an earlier stage (intra-treatment) for brain metastases (BMs) patients treated with PULSAR. Methods:
Externí odkaz:
http://arxiv.org/abs/2407.04040
We develop a framework for on-the-fly machine learned force field molecular dynamics simulations based on the multipole featurization scheme that overcomes the bottleneck with the number of chemical elements. Considering bulk systems with up to 6 ele
Externí odkaz:
http://arxiv.org/abs/2404.07961
The paper presents a technique using reinforcement learning (RL) to adapt the control gains of a quadcopter controller. Specifically, we employed Proximal Policy Optimization (PPO) to train a policy which adapts the gains of a cascaded feedback contr
Externí odkaz:
http://arxiv.org/abs/2403.07216
PULSAR (personalized, ultra-fractionated stereotactic adaptive radiotherapy) is the adaptation of stereotactic ablative radiotherapy towards personalized cancer management. For the first time, we applied a transformer-based attention mechanism to inv
Externí odkaz:
http://arxiv.org/abs/2403.04175
Autor:
Timmerman, R., van Weeren, R. J., Botteon, A., Röttgering, H. J. A., Morabito, L. K., Sweijen, F.
Publikováno v:
A&A 687, A31 (2024)
Radio-mode feedback associated with the active galactic nuclei (AGN) at the cores of galaxy clusters injects large amount of energy into the intracluster medium (ICM), offsetting radiative losses through X-ray emission. This mechanism prevents the IC
Externí odkaz:
http://arxiv.org/abs/2403.03242
Publikováno v:
Diagn Progn Res 8, 14 (2024)
Random forests have become popular for clinical risk prediction modelling. In a case study on predicting ovarian malignancy, we observed training c-statistics close to 1. Although this suggests overfitting, performance was competitive on test data. W
Externí odkaz:
http://arxiv.org/abs/2402.18612