Search Results - "Enßlin, Torsten A."

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  1. 1

    Information Theory for Fields by Enßlin, Torsten A.

    Published in Annalen der Physik (01-03-2019)
    “…A physical field has an infinite number of degrees of freedom since it has a field value at each location of a continuous space. Therefore, it is impossible to…”
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  2. 2

    Bayesian non-linear large-scale structure inference of the Sloan Digital Sky Survey Data Release 7 by Jasche, Jens, Kitaura, Francisco S., Li, Cheng, Enßlin, Torsten A.

    “…In this work, we present the first non-linear, non-Gaussian full Bayesian large-scale structure analysis of the cosmic density field conducted so far. The…”
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  3. 3

    Jets, bubbles, and heat pumps in galaxy clusters by Chen, Yi-Hao, Heinz, Sebastian, Enßlin, Torsten A

    “…Abstract Feedback from active galactic nucleus (AGN) jets has been proposed to counteract the catastrophic cooling in many galaxy clusters. However, it is…”
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  4. 4

    Simulating cosmic rays in clusters of galaxies – II. A unified scheme for radio haloes and relics with predictions of the γ-ray emission by Pfrommer, Christoph, Enßlin, Torsten A., Springel, Volker

    “…The thermal plasma of galaxy clusters lost most of its information on how structure formation proceeded as a result of dissipative processes. In contrast,…”
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  5. 5

    Bayesian power-spectrum inference for large-scale structure data by Jasche, Jens, Kitaura, Francisco S., Wandelt, Benjamin D., Enßlin, Torsten A.

    “…We describe an exact, flexible and computationally efficient algorithm for a joint inference of the large-scale structure and its power spectrum, building on a…”
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  6. 6

    Geometric Variational Inference by Frank, Philipp, Leike, Reimar, Enßlin, Torsten A.

    Published in Entropy (Basel, Switzerland) (02-07-2021)
    “…Efficiently accessing the information contained in non-linear and high dimensional probability distributions remains a core challenge in modern statistics…”
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  7. 7

    Field Dynamics Inference for Local and Causal Interactions by Frank, Philipp, Leike, Reimar, Enßlin, Torsten A.

    Published in Annalen der Physik (01-05-2021)
    “…Inference of fields defined in space and time from observational data is a core discipline in many scientific areas. This work approaches the problem in a…”
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  8. 8

    Simulations of cosmic-ray feedback by active galactic nuclei in galaxy clusters by Sijacki, Debora, Pfrommer, Christoph, Springel, Volker, Enßlin, Torsten A.

    “…Feedback processes by active galactic nuclei (AGN) appear to be a key for understanding the nature of the very X-ray luminous cool cores found in many clusters…”
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  9. 9

    Bayesian Reasoning with Trained Neural Networks by Knollmüller, Jakob, Enßlin, Torsten A.

    Published in Entropy (Basel, Switzerland) (31-05-2021)
    “…We showed how to use trained neural networks to perform Bayesian reasoning in order to solve tasks outside their initial scope. Deep generative models provide…”
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  10. 10

    Probabilistic Autoencoder Using Fisher Information by Zacherl, Johannes, Frank, Philipp, Enßlin, Torsten A

    Published in Entropy (Basel, Switzerland) (06-12-2021)
    “…Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to…”
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  11. 11

    Gentle reenergization of electrons in merging galaxy clusters by de Gasperin, Francesco, Intema, Huib T, Shimwell, Timothy W, Brunetti, Gianfranco, Brüggen, Marcus, Enßlin, Torsten A, van Weeren, Reinout J, Bonafede, Annalisa, Röttgering, Huub J A

    Published in Science advances (01-10-2017)
    “…Galaxy clusters are the most massive constituents of the large-scale structure of the universe. Although the hot thermal gas that pervades galaxy clusters is…”
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    Optimal Belief Approximation by Leike, Reimar, Enßlin, Torsten

    Published in Entropy (Basel, Switzerland) (01-08-2017)
    “…In Bayesian statistics probability distributions express beliefs. However, for many problems the beliefs cannot be computed analytically and approximations of…”
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    Cosmic cartography of the large-scale structure with Sloan Digital Sky Survey data release 6 by Kitaura, Francisco S., Jasche, Jens, Li, Cheng, Enßlin, Torsten A., Metcalf, R. Benton, Wandelt, Benjamin D., Lemson, Gerard, White, Simon D. M.

    “…We present the largest Wiener reconstruction of the cosmic density field made to date. The reconstruction is based on the Sloan Digital Sky Survey (SDSS) data…”
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  17. 17

    Toward Bayesian Data Compression by Harth‐Kitzerow, Johannes, Leike, Reimar H., Arras, Philipp, Enßlin, Torsten A.

    Published in Annalen der Physik (01-03-2021)
    “…In order to handle large datasets omnipresent in modern science, efficient compression algorithms are necessary. Here, a Bayesian data compression (BDC)…”
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  18. 18

    Cosmic rays and the primordial gas by Jasche, Jens, Ciardi, Benedetta, Enßlin, Torsten A.

    “…One of the most-outstanding problems in the gravitational collapse scenario of early structure formation is the cooling of primordial gas to allow for…”
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  19. 19

    Bayesian analysis of spatially distorted cosmic signals from Poissonian data by Weig, Cornelius, Enßlin, Torsten A.

    “…Reconstructing the matter density field from galaxy counts is a problem frequently addressed in current literature. Two main sources of error are shot noise…”
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  20. 20

    Supersymmetric theory of stochastic ABC model by Ovchinnikov, Igor V, Sun, Yuquan, Enßlin, Torsten A, Wang, Kang L

    Published in Journal of physics communications (13-06-2018)
    “…In this paper, we investigate numerically the stochastic ABC model, a toy model in the theory of astrophysical kinematic dynamos, within the recently proposed…”
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