Sarah Malik

发表

The Industry Internet of Things (IIoT) as a Methodology for Autonomous Diagnostics, Prognostics in Aerospace Structural Health Monitoring

Antonios Kontsos, Krzysztof Mazur, Sarah Malik, 2019 .

A Dynamic Data Driven Applications Systems (DDDAS)-Based Digital Twin IoT Framework

Antonios Kontsos, Antonios Kontsos, Krzysztof Mazur, 2020, DDDAS.

The Industry Internet of Things (IIoT) as a Methodology for Autonomous Diagnostics in Aerospace Structural Health Monitoring

Antonios Kontsos, Krzysztof Mazur, Sarah Malik, 2020, Aerospace.

Composite Material Remaining Useful Life Estimation Using an IoT-Compatible Probabilistic Modeling Framework

Antonios Kontsos, Krzysztof Mazur, Brian Wisner, 2019 .

Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Yi Wang, Andrea Benaglia, Yi Zhang, 2020, Journal of Instrumentation.

Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

AEDGE: Atomic Experiment for Dark Matter and Gravity Exploration in Space

Achim Peters, Andrea Bertoldi, Chen-Hao Feng, 2019, Experimental Astronomy.

Search for resonant tt production in proton-proton collisions at √s = 8 TeV

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2015, 1506.03062.

Search for a Higgs boson decaying into a b-quark pair and produced in association with b quarks in proton–proton collisions at 7 TeV

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2013 .

Studies of dijet pseudorapidity distributions and transverse momentum balance in pPb collisions at sNN=5.02TeV

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2014 .

Search for a massive resonance decaying to a pair of Higgs bosons in the four b quark ﬁnal state in proton–proton collisions at √ s = 13 TeV

Andrea Benaglia, Francesco Fienga, Stavros Mallios, 2018 .

Search for a $W^\prime$ or Techni-$\rho$ Decaying into $WZ$ in $pp$ Collisions at $\sqrt{s}=7$ TeV

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2012 .

Search for new physics in final states with an energetic jet or a hadronically decaying W or Z boson and transverse momentum imbalance at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018 .

Recommendations on presenting LHC searches for missing transverse energy signals using simplified s-channel models of dark matter

Greg Landsberg, Steven Lowette, David Salek, 2016, Physics of the Dark Universe.

Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

Reconstruction and identification of tau lepton decays to hadrons and nu(tau) at CMS

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2016 .

Dark Matter benchmark models for early LHC Run-2 Searches: Report of the ATLAS/CMS Dark Matter Forum

Patrick J. Fox, Bhawna Gomber, Raman Khurana, 2015, Physics of the Dark Universe.

Search for high mass dijet resonances with a new background prediction method in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Alignment of the CMS tracker with LHC and cosmic ray data

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2014 .

Search for physics beyond the standard model in final states with a lepton and missing transverse energy in proton-proton collisions at √s=8 TeV

Andrea Benaglia, Yu-Wei Chang, Marco Rossini, 2015 .

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

A deep neural network to search for new long-lived particles decaying to jets

Yi Wang, Andrea Benaglia, Ian Watson, 2019 .