Neural simulation-based inference approach for characterizing the Galactic Center <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>γ</mml:mi></mml:math> -ray excess-Reference-Cited by-同舟云学术

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Neural simulation-based inference approach for characterizing the Galactic Center γ -ray excess

Published:2022-03-23 Issue:6 Volume:105 Page:
ISSN:2470-0010
Container-title:Physical Review D
language:en
Short-container-title:Phys. Rev. D

Author:

Mishra-Sharma Siddharth^ORCID,Cranmer Kyle^ORCID

Funder

Aspen Center for Physics

National Science Foundation

Simons Foundation

New York University

U.S. Department of Energy

Office of Science

High Energy Physics

Moore-Sloan Data Science Environment

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevD.105.063017/fulltext

Reference105 articles.

1. THE LARGE AREA TELESCOPE ON THEFERMI GAMMA-RAY SPACE TELESCOPEMISSION

2. Dark matter annihilation in the Galactic Center as seen by the Fermi Gamma Ray Space Telescope

3. A comment on the emission from the Galactic Center as seen by the Fermi telescope

4. Origin of the gamma rays from the Galactic Center

5. Detection of a gamma-ray source in the Galactic Center consistent with extended emission from dark matter annihilation and concentrated astrophysical emission

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1. Fast Parameter Inference on Pulsar Timing Arrays with Normalizing Flows;Physical Review Letters;2024-07-02

2. Applying simulation-based inference to spectral and spatial information from the Galactic Center gamma-ray excess;Journal of Cosmology and Astroparticle Physics;2024-07-01

3. Galactic Center excess at the highest energies: Morphology and photon-count statistics;Physical Review D;2024-06-27

4. Isolated Pulsar Population Synthesis with Simulation-based Inference;The Astrophysical Journal;2024-06-01

5. Field-level simulation-based inference of galaxy clustering with convolutional neural networks;Physical Review D;2024-04-30

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