
Michael Strickland
Articles
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Jun 12, 2024 |
link.aps.org | Nora Brambilla |Technische Universität München |Michael Strickland |Tom Magorsch
We compute the suppression of bottomonium in the quark-gluon plasma using the three-loop QCD static potential. The potential describes the spin-averaged bottomonium spectrum below threshold with a less than 1% error. Within potential nonrelativistic quantum chromodynamics and an open quantum systems framework, we compute the evolution of the bottomonium density matrix.
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May 13, 2024 |
link.aps.org | Michael Strickland |Sabin Thapa |Ramona Vogt
We compute the suppression of ϒ(1S), ϒ(2S), and ϒ(3S) states in p-Pb collisions relative to pp collisions, including nuclear parton distribution function (nPDF) effects, coherent energy loss, momentum broadening, and final-state interactions in the quark-gluon plasma. We employ the EPPS21 nPDFs and calculate the uncertainty resulting from variation over the associated error sets. To compute coherent energy loss and momentum broadening, we follow the approach of Arleo, Peigne, and collaborators.
Microbial dark matter could add uncertainties to metagenomic trait estimations - Nature Microbiology
May 12, 2024 |
nature.com | Michael Strickland
arising from: G. Piton et al. Nat. Microbiol. https://doi.org/10.1038/s41564-023-01465-0 (2023). Estimating life history traits of bacterial communities from metagenomes is an increasingly common practice in microbial ecology research1,2,3,4. Contributing to this area of inquiry, Piton et al.5 use a global dataset of soil metagenomes to describe life history trait dimensions of soil bacteria. Our analysis of the same dataset suggests that the genome size analysis of Piton et al.
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Feb 11, 2024 |
nature.com | Michael Strickland
Decomposer microbiomes are universal across cadavers regardless of environmental conditions, and they use complex cross-feeding and interkingdom interactions to break down organic matter.
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Nov 16, 2023 |
link.aps.org | Jacob Boyd |Michael Strickland |Sabin Thapa
We extract transverse-momentum-dependent feed-down fractions for bottomonium production using a data-driven approach. We use data published by the ATLAS, CMS, and LHCb Collaborations for s=7 TeV proton-proton collisions. Based on this collected data, we produce fits to the differential cross sections for the production of both S- and P-wave bottomonium states.
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