Search Results - "Horzyk, A"

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  1. 1

    Hypertriton Production in p -Pb Collisions at sNN =5.02 TeV by Acharya, S., Basu, S., Christiansen, P., Matonoha, O., Nassirpour, A.F., Ohlson, A., Oskarsson, A., Richert, T., Rueda, O.V., Silvermyr, D., Zurlo, N.

    Published in Physical review letters (24-06-2022)
    “…The study of nuclei and antinuclei production has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy…”
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    Journal Article
  2. 2

    Measurement of non-prompt D -meson elliptic flow in Pb–Pb collisions at √sNN=5.02 TeV by Acharya, S., Basu, S., Christiansen, P., Hansen, J., Zurlo, N

    “…The elliptic flow (v2) of D mesons from beauty-hadron decays (non-prompt D) was measured in midcentral (30–50%) Pb–Pb collisions at a centre-of-mass energy per…”
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    Journal Article
  3. 3

    Multiplicity and rapidity dependence of K ∗(892) and ϕ(1020) production in p–Pb collisions at √sNN= 5.02 TeV by Acharya, S., Basu, S., Christiansen, P., Matonoha, O., Nassirpour, A.F., Ohlson, A., Oskarsson, A., Richert, T., Rueda, O.V., Silvermyr, D., Staa, J., Zurlo, N.

    “…The transverse-momentum (pT) spectra of K ∗(892)0 and ϕ(1020) measured with the ALICE detector up to pT = 16 GeV/c in the rapidity range - 1.2 < y< 0.3 , in…”
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    Journal Article
  4. 4

    Unsupervised clustering using self-optimizing neural networks by Horzyk, A.

    “…Self-optimizing neural networks (SONNs) are very effective in solving different classification tasks. They have been successfully used to many different…”
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    Conference Proceeding
  5. 5
  6. 6

    Antihelium-3 fluxes near Earth using data-driven estimates for annihilation cross section by Acharya, S., Basu, S., Christiansen, P., Matonoha, O., Nassirpour, A.F., Ohlson, A., Oskarsson, A., Richert, T., Rueda, O.V., Silvermyr, D., Zurlo, N.

    “…Antinuclei found in cosmic rays could provide a smoking gun signal for dark matter as this signal is virtually background free. The study of 3He cosmic rays…”
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    Conference Proceeding
  7. 7

    Effectiveness of artificial neural networks adaptation according to time period of training data acquisition by Horzyk, A., Dudek-Dyduch, E.

    “…Artificial neural networks (ANNs) were inspired by natural neural networks (NNNs) and natural processes of training. The NNNs receive data in time still tuning…”
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    Conference Proceeding
  8. 8

    Emergent creativity in declarative memories by Horzyk, A., Starzyk, J. A., Basawaraj

    “…This paper presents a structural organization of declarative memories using a new model of spiking neurons. Using this model we propose a self-organizing…”
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    Conference Proceeding
  9. 9

    Trust in motivated learning agents by Starzyk, J. A., Graham, J., Horzyk, A.

    “…This paper generalizes motivated learning to include selected personality traits of autonomous learning agents. Specifically, we show how a motivated learning…”
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    Conference Proceeding