25–27 Sept 2019
Jussieu campus of Sorbonne University, Paris, France
Europe/Paris timezone

Session

Thursday morning talks

26 Sept 2019, 09:00
Amphi Charpak (Jussieu campus of Sorbonne University, Paris, France)

Amphi Charpak

Jussieu campus of Sorbonne University, Paris, France

Jussieu campus, Paris

Presentation materials

There are no materials yet.

  1. Dr Mathieu Boudaud (LPTHE Paris)
    26/09/2019, 09:00

    Cosmic ray antiprotons are among the best channels to constrain WIMP dark matter particle candidates. The compatibility of AMS-02 data with a pure secondary origin is currently actively debated. Using the USINE code and an improved methodology to extract the cosmic ray transport parameters from the B/C data, we derive a robust range of predictions for the secondary antiproton flux. We list and...

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  2. Dr Kenny Chun Yu Ng (University of Amsterdam)
    26/09/2019, 09:20

    X-ray line searches are sensitive probes for many dark matter models, such as sterile neutrino dark matter in the nuMSM. I will discuss the current status of the experimental efforts, including that of the tentative signal at 3.5 keV. Then I will discuss some recent progress with NuSTAR and its prospects in the near future. Finally, I will talk about the idea of dark matter velocity...

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  3. Dr Adam Coogan (University of Amsterdam)
    26/09/2019, 09:40

    Observational constraints on gamma rays produced by the annihilation of weakly interacting massive particles around primordial black holes (PBHs) imply that these two classes of Dark Matter candidates cannot coexist. In this talk, I will show that the successful detection of one or more PBHs by radio searches (with the Square Kilometer Array) and gravitational waves searches (with LIGO/Virgo...

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  4. Ariane Dekker (University of Amsterdam)
    26/09/2019, 10:00

    To constrain the contribution of source populations to the observed neutrino sky, we consider isotropic and anisotropic components of the diffuse neutrino data. We simulate through-going muon neutrino events by applying statistical distributions for the fluxes of extra-galactic sources and investigate the sensitivities of current (IceCube) and future (IceCube-Gen2 and KM3NeT) experiments. I...

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  5. Dr Marco Chianese (GRAPPA, University of Amsterdam)
    26/09/2019, 11:00

    We propose a multi-messenger probe of the natural parameter space of QCD axion dark matter (DM) based on observations of black hole-neutron star binary inspirals. It is suggested that a dense DM spike may grow around intermediate mass black holes. The presence of such a spike produces two unique effects: a distinct phase shift in the gravitational wave strain during the inspiral period and an...

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  6. Mikael Leroy
    26/09/2019, 11:20
  7. Sanjay Bloor (Imperial College London)
    26/09/2019, 11:40

    GUM is a new feature of the GAMBIT global fitting software framework, which provides a direct interface between Lagrangian level tools and GAMBIT. GUM automatically writes GAMBIT routines to compute observables and likelihoods for physics beyond the Standard Model. I will describe the structure of GUM, the tools (within GAMBIT) it is able to create interfaces to, and the observables it is able...

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  8. Sreedevi Varma
    26/09/2019, 12:00

    Machine Learning techniques have been widely used in different applications in high energy physics. In this talk I would like to speak about two different machine learning algorithms used to classify signal and background jets. We compare the performance of a convolutional neural network (CNN) trained on jet images with dense neural networks (DNNs) trained on n-subjettiness variables to study...

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