Zobrazeno 1 - 10
of 8 939
pro vyhledávání: '"Burns J."'
Neural network (NN) emulators of the global 21 cm signal need emulation error much less than the observational noise in order to be used to perform unbiased Bayesian parameter inference. To this end, we introduce $\texttt{21cmLSTM}$ -- a long short-t
Externí odkaz:
http://arxiv.org/abs/2410.07619
Although neural-network-based emulators enable efficient parameter estimation in 21-cm cosmology, the accuracy of such constraints is poorly understood. We employ nested sampling to fit mock data of the global 21-cm signal and high-$z$ galaxy ultravi
Externí odkaz:
http://arxiv.org/abs/2310.02503
Autor:
Akindele, O. A., Bernstein, A., Boyd, S., Burns, J., Calle, M., Coleman, J., Collins, R., Ezeribe, A., He, J., Holt, G., Jewkes, K., Jones, R., Kneale, L., Lewis, P., Malek, M., Mauger, C., Mitra, A., Muheim, F., Needham, M., Paling, S., Pickard, L., Quillin, S., Rex, J., Scovell, P. R., Shaw, T., Smith, G. D., Soos, G., Toth, C., Valder, S., Wade, B., Willett, H., Wilson, S.
Photomultiplier tubes (PMTs) are traditionally an integral part of large underground experiments as they measure the light emission from particle interactions within the enclosed detection media. The BUTTON experiment will utilise around 100 PMTs to
Externí odkaz:
http://arxiv.org/abs/2306.09926
We present an approach for autonomous sensor control for information gathering under partially observable, dynamic and sparsely sampled environments that maximizes information about entities present in that space. We describe our approach for the tas
Externí odkaz:
http://arxiv.org/abs/2211.01527
Autor:
Dwan, LN, Little, DG, Birke, O, Wojciechowski, EA, Mudge, AJ, McKay, MJ, St George, J, Burns, J
Publikováno v:
In Gait & Posture October 2024 114:243-249
