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$^3_\Lambda\mathrm{H}$ and $^3_{\bar{\Lambda}}\mathrm{\bar{H}}$ lifetime measurement in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}} = $ 5.02 TeV via two-body decay
Free accessAcharya, S. / Adamová, D. / Ahmad, S. et al. | BASE | 2019 -
$^3_\Lambda\mathrm{H}$ and $^3_{\bar{\Lambda}}\mathrm{\bar{H}}$ lifetime measurement in Pb-Pb collisions at $\sqrt{s_{\mathrm{NN}}} = $ 5.02 TeV via two-body decay
Acharya, S. / Adamová, D. / Adhya, S. P. et al. | DataCite | 2019 -
$$\mathrm {K_S}^{0}$$- and (anti-)$$\Lambda $$-hadron correlations in pp collisions at $${\sqrt{s}} = 13$$ TeV
Free accessAcharya, S. / Agnello, M. / Terlizzi, L. et al. | Online Contents | 2021 -
$$\phi $$ meson production at forward rapidity in Pb–Pb collisions at $$\sqrt{s_\mathrm {NN}}=2.76$$ TeV
Free accessAcharya, S. / Aglieri Rinella, G. / Torres, S. R. et al. | Online Contents | 2018 -
$$\pi ^{0}$$ and $$\eta $$ meson production in proton-proton collisions at $$\sqrt{s}=8$$ TeV
Free accessAcharya, S. / Aglieri Rinella, G. / Thoresen, F. et al. | Online Contents | 2018 -
$\Upsilon(\mathrm{nS})$ polarizations versus particle multiplicity in pp collisions at $\sqrt{s} =$ 7 TeV
Khachatryan, Vardan / Sirunyan, Albert M. / Tumasyan, Armen et al. | DataCite | 2016 -
$\Upsilon(\mathrm{nS})$ polarizations versus particle multiplicity in pp collisions at $\sqrt{s} =$ 7 TeV
Free accessKhachatryan, Vardan / Sirunyan, Albert M / Fabjan, Christian et al. | BASE | 2016 -
A(+)c production in pp and in p-Pb collisions at root sNN=5.02 TeV
Free accessAcharya, S. / Adamova, D. / Adler, A. et al. | BASE | 2021Contributors: Agnello, M., Al-Turany, M., Alfanda, H. M., Anaam, M. N., Angeletti, M., Arratia, M., Arslandok, M., Azmi, M. D., Ball, M., Barlou, M., Besoiu, M. G., Bhat, M. A. -
A(c)(+) Production and Baryon-to-Meson Ratios in pp and p-Pb Collisions at root S-NN=5.02 TeV at the LHC
Free accessAcharya, S. / Adamova, D. / Adler, A. et al. | BASE | 2021Contributors: Agnello, M., Al-Turany, M., Alfanda, H. M., Anaam, M. N., Angeletti, M., Arratia, M., Arslandok, M., Azmi, M. D., Ball, M., Barlou, M., Besoiu, M. G., Bhat, M. A. -
Addendum : measurement and QCD analysis of double-differential inclusive jet cross sections in proton-proton collisions at √s=13 TeV
Free accessTumasyan, A. / Adam, W. / Andrejkovic, J. W. et al. | BASE | 2022 -
Addendum to: Measurement and QCD analysis of double-differential inclusive jet cross sections in proton-proton collisions at $$ \sqrt{\textrm{s}} $$ = 13 TeV
Free accessTumasyan, A. / Delcourt, M. / Campana, M. et al. | Online Contents | 2022 -
Addendum to: Measurement and QCD analysis of double-differential inclusive jet cross sections in proton-proton collisions at s = 13 TeV
Free accessTumasyan, A. / Adam, W. / Andrejkovic, J. W. et al. | Springer Verlag | 2022 -
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
Free accessSirunyan, A. M. / Tumasyan, A. / Adam, W. et al. | Springer Verlag | 2020 -
A deep neural network for simultaneous estimation of b jet energy and resolution
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2020 -
A deep neural network for simultaneous estimation of b jet energy and resolution
Free accessSirunyan, Albert M / Tumasyan, Armen / Jeitler, Manfred et al. | BASE | 2020 -
A deep neural network for simultaneous estimation of b jet energy and resolution
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2019 -
A deep neural network to search for new long-lived particles decaying to jets
Free accessSirunyan, Albert M / Tumasyan, Armen / Jeitler, Manfred et al. | BASE | 2020 -
A deep neural network to search for new long-lived particles decaying to jets
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2020 -
A deep neural network to search for new long-lived particles decaying to jets
Sirunyan, Albert M / Tumasyan, Armen / Adam, Wolfgang et al. | DataCite | 2019 -
A deep neural network to search for new long-lived particles decaying to jets
Free accessSirunyan, Albert M / Tumasyan, Armen / Jeitler, Manfred et al. | BASE | 2019
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