Zobrazeno 1 - 10
of 321
pro vyhledávání: '"Croft, Rupert A C"'
The apparent angular positions of quasars are deflected on the sky by the gravitational field sourced by foreground matter. This weak lensing effect is measurable through the distortions it introduces in the lensed quasar spectra. Discrepancies in th
Externí odkaz:
http://arxiv.org/abs/2410.20014
AI-assisted super-resolution cosmological simulations IV: An emulator for deterministic realizations
Autor:
Zhang, Xiaowen, Lachance, Patrick, Dasgupta, Ankita, Croft, Rupert A. C., Di Matteo, Tiziana, Ni, Yueying, Bird, Simeon, Li, Yin
Super-resolution (SR) models in cosmological simulations use deep learning (DL) to rapidly supplement low-resolution (LR) runs with statistically correct, fine details. The SR technique preserves large-scale structures by conditioning on a low-resolu
Externí odkaz:
http://arxiv.org/abs/2408.09051
Autor:
Zhou, Yihao, Chen, Huanqing, Di Matteo, Tiziana, Ni, Yueying, Croft, Rupert A. C., Bird, Simeon
We study quasar proximity zones in a simulation that includes a self-consistent quasar formation model and realistic IGM environments. The quasar host halo is $10^{13}\ M_{\mathrm{\odot}}$ at $z=6$, more massive than typical halos studied in previous
Externí odkaz:
http://arxiv.org/abs/2309.11571
Autor:
Zhang, Xiaowen, Lachance, Patrick, Ni, Yueying, Li, Yin, Croft, Rupert A. C., Di Matteo, Tiziana, Bird, Simeon, Feng, Yu
In this work, we extend our recently developed super-resolution (SR) model for cosmological simulations to produce fully time consistent evolving representations of the particle phase-space distribution. We employ a style-based constrained generative
Externí odkaz:
http://arxiv.org/abs/2305.12222
We evaluate the performance of the Lyman-$\alpha$ forest weak gravitational lensing estimator of Metcalf et al. on forest data from hydrodynamic simulations and ray-traced simulated lensing potentials. We compare the results to those obtained from th
Externí odkaz:
http://arxiv.org/abs/2209.04564
Autor:
Marshall, Madeline A., Watts, Katelyn, Wilkins, Stephen, Di Matteo, Tiziana, Kuusisto, Jussi K., Roper, William J., Vijayan, Aswin P., Ni, Yueying, Feng, Yu, Croft, Rupert A. C.
We present a mock image catalogue of ~100,000 MUV=-22.5 to -19.6 mag galaxies at z=7-12 from the BlueTides cosmological simulation. We create mock images of each galaxy with the James Webb (JWST), Hubble, Roman, and Euclid Space Telescopes, as well a
Externí odkaz:
http://arxiv.org/abs/2206.08941
We explore how information in images of nearby galaxies can be used to estimate their distance. We train a convolutional Neural Network (NN) to do this, using galaxy images from the Illustris simulation. We show that if the NN is trained on data with
Externí odkaz:
http://arxiv.org/abs/2204.09135
We explore the use of Deep Learning to infer the temperature of the intergalactic medium from the transmitted flux in the high redshift Lyman-alpha forest. We train Neural Networks on sets of simulated spectra from redshift z=2-3 outputs of cosmologi
Externí odkaz:
http://arxiv.org/abs/2112.05721
Autor:
Marshall, Madeline A., Wilkins, Stephen, Di Matteo, Tiziana, Roper, William J., Vijayan, Aswin P., Ni, Yueying, Feng, Yu, Croft, Rupert A. C.
We study the sizes of galaxies in the Epoch of Reionization using a sample of ~100,000 galaxies from the BlueTides cosmological hydrodynamical simulation from z=7 to 11. We measure the galaxy sizes from stellar mass and luminosity maps, defining the
Externí odkaz:
http://arxiv.org/abs/2110.12075
Autor:
Ni, Yueying, Li, Yin, Lachance, Patrick, Croft, Rupert A. C., Di Matteo, Tiziana, Bird, Simeon, Feng, Yu
In this work, we expand and test the capabilities of our recently developed super-resolution (SR) model to generate high-resolution (HR) realizations of the full phase-space matter distribution, including both displacement and velocity, from computat
Externí odkaz:
http://arxiv.org/abs/2105.01016