Search results for "Data structure"
showing 10 items of 441 documents
"Table 1" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ =…
2015
Vertex-level efficiency as a function of the vertex radial position for an RPV SUSY model of squark production with $\tilde{q}\to q[\tilde{\chi}_1^0\to\mu qq]$, where $m(\tilde{q}) = 700$ GeV, $m(\tilde{\chi}_1^0) = 494$ GeV and $c\tau(\tilde{\chi}_1^0)$ = 175 mm. This result is also represented in Figure 3b and Auxiliary Figure 1.
"Table 4" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ =…
2015
Vertex-level efficiency if no re-tracking is performed, as a function of the vertex radial position for an RPV SUSY model of squark production with $\tilde{q}\to q[\tilde{\chi}_1^0\to\mu qq]$, where $m(\tilde{q}) = 700$ GeV, $m(\tilde{\chi}_1^0) = 494$ GeV and $c\tau(\tilde{\chi}_1^0)$ = 175 mm. The result with re-tracking is tabulated in http://hepdata.cedar.ac.uk/view/ins1362183/d1.
"Table 2" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ =…
2015
Vertex-level efficiency as a function of the vertex radial position for an RPV SUSY model of squark production with $\tilde{q}\to q[\tilde{\chi}_1^0\to\mu qq]$, where $m(\tilde{q}) = 700$ GeV, $m(\tilde{\chi}_1^0) = 108$ GeV and $c\tau(\tilde{\chi}_1^0)$ = 101 mm.
"Table 37" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ …
2015
Vertex mass distributions in data and one RPV SUSY signal model, for vertices with 3, 4 and $\geq$5 tracks in the DV+muon channel. The entries are the number of DVs in each bin, not normalized according to bin size. The signal model is for squark pair production, with $\tilde{q}\to q[\tilde{\chi}_1^0\to\mu qq]$ decays, $m(\tilde{q})$ = 700 GeV, $m(\tilde{\chi}_1^0)$ = 494 GeV and $c\tau(\tilde{\chi}_1^0)$ = 175 mm.
"Table 39" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ …
2015
Vertex mass distributions in data and one RPV SUSY signal model, for vertices with 3, 4 and $\geq$5 tracks in the DV+electron channel. The entries are the number of DVs in each bin, not normalized according to bin size. The signal model is for squark pair production, with $\tilde{q}\to q[\tilde{\chi}_1^0\to e qq]$ decays, $m(\tilde{q})$ = 700 GeV, $m(\tilde{\chi}_1^0)$ = 494 GeV and $c\tau(\tilde{\chi}_1^0)$ = 175 mm.
"Table 3" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ =…
2015
Vertex-level efficiency as a function of the vertex radial position for an RPV SUSY model of squark production with $\tilde{q}\to q[\tilde{\chi}_1^0\to\mu qb]$, where $m(\tilde{q}) = 700$ GeV, $m(\tilde{\chi}_1^0) = 494$ GeV and $c\tau(\tilde{\chi}_1^0)$ = 175 mm. The other SUSY model point in the figure is tabulated in http://hepdata.cedar.ac.uk/view/ins1362183/d1.
"Table 35" of "Search for massive, long-lived particles using multitrack displaced vertices or displaced lepton pairs in pp collisions at $\sqrt{s}$ …
2015
Upper limits (95% CL) from the DV+$E_T^{miss}$ channel on the production cross-section and the corresponding event-level efficiencies (from Auxiliary Figure 11a) for four RPV SUSY models as a function of the $\tilde{\chi}_1^0$ proper decay distance $c\tau$. The models consider squark or gluino pair production, with masses in GeV as indicated, with either $\tilde{q}\to q[\tilde{\chi}_1^0\to \nu qq]$ or $\tilde{g}\to qq[\tilde{\chi}_1^0\to \nu qq]$ decays, respectively. For comparison, the production cross-sections for $m(\tilde{g})$ = 700 GeV, $m(\tilde{q})$ = 700 GeV and $m(\tilde{q})$ = 1000 GeV are $430\pm80$ fb, $124\pm17$ fb and $11.9\pm1.5$ fb, respectively.
Computing abelian periods in words
2011
International audience
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time
2017
[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed up multimodal registration algorithms. Ten real breasts were used for this work. Their deformation due to the displacement of two compression plates was simulated off-line using the finite element (FE) method. Three machine learning models were trained with the data from those simulations. Then, they were used to predict in real-time the deformation of the breast tissues during the compression. The models were a decision tree and two tree-based ensemble methods (extremely…
Disentangling Sources of Gene Tree Discordance in Phylogenomic Data Sets: Testing Ancient Hybridizations in Amaranthaceae s.l.
2019
AbstractGene tree discordance in large genomic data sets can be caused by evolutionary processes such as incomplete lineage sorting and hybridization, as well as model violation, and errors in data processing, orthology inference, and gene tree estimation. Species tree methods that identify and accommodate all sources of conflict are not available, but a combination of multiple approaches can help tease apart alternative sources of conflict. Here, using a phylotranscriptomic analysis in combination with reference genomes, we test a hypothesis of ancient hybridization events within the plant family Amaranthaceae s.l. that was previously supported by morphological, ecological, and Sanger-base…