Search results for " HE"
showing 10 items of 56203 documents
"Figure 11" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron $R_{dA}$ 60-88% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.
"Figure 8" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron RdA 0-20% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.
"Figure 9" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron $R_{dA}$ 20-40% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.
"Figure 7" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron $R_{dA}$ 0-100% d+Au collisions. The nuclear modification factors $R_{dA}$ and $R_{AA}$ for minimum bias $d$+Au and Au+Au collisions, for the $\pi^{0}$ and $e^{\pm}_{HF}$. The two boxes on the right side of the plot represent the global uncertainties in the $d$+Au (left) and Au+Au (right) values of $N_{coll}$ . An additional common global scaling uncertainty of 9.7% on $R_{dA}$ and $R_{AA}$ from the $p+p$ reference data is omitted for clarity.
"Figures 3-6" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron yield, $d$+Au $\implies$ CHARGED X. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).
"Figure 10" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron $R_{dA}$ 40-60% $d$+Au collisions. The nuclear modification factor, $R_{dA}$, for electrons from open heavy flavor decays, for the (a) most central and (b) most peripheral centrality bins.
"Figures 1-2" of "Cold-nuclear-matter effcts on heavy-quark production in d+Au collisions at sqrt(s_NN)=200 GeV"
2023
Heavy flavor electron yield, Run-8 $p$ + $p$, $d$+Au collisions. Electrons from heavy flavor decays, separated by centrality. The lines represent a fit to the previous $p+p$ result [23], scaled by $N_{coll}$. The inset shows the ratio of photonic background electrons determined by the converter and cocktail methods for Minimum Bias $d$+Au collisions, with error bars (boxes) that represent the statistical uncertainty on the converter data (systematic uncertainty on the photonic-electron cocktail).
Collecting and preserving plant DNA for huanglongbing diagnosis in citrus samples from China
2016
Accurate and sensitive detection of Citrus Huanglongbing associated ‘Ca. Liberibacter’species, not currently reported in the European and Mediterranean area, is an imperative need to define certification programs, to prevent introduction of the bacteria and/or their vectors in the unaffected areas, and to delineate efficient management strategies in those areas where the disease has spread. In this study, we compared different citrus sample preparation procedures for PCR based detection methods of ‘Candidatus Liberibacter asiaticus’, in order to find out the best a way to transport and preserve samples of Shatangju mandarin and fingered citron obtained during a survey in citrus orchards in …
The impact of visual working memory capacity on the filtering efficiency of emotional face distractors.
2018
Emotional faces can serve as distractors for visual working memory (VWM) tasks. An event-related potential called contralateral delay activity (CDA) can measure the filtering efficiency of face distractors. Previous studies have investigated the influence of VWM capacity on filtering efficiency of simple neutral distractors but not of face distractors. We measured the CDA indicative of emotional face filtering during a VWM task related to facial identity. VWM capacity was measured in a separate colour change detection task, and participants were divided to high- and low-capacity groups. The high-capacity group was able to filter out distractors similarly irrespective of its facial emotion. …
CCDC 1844063: Experimental Crystal Structure Determination
2018
Related Article: Fabian Brunner, Azin Babaei, Antonio Pertegás, José M. Junquera-Hernández, Alessandro Prescimone, Edwin C. Constable, Henk J. Bolink, Michele Sessolo, Enrique Ortí, Catherine E. Housecroft|2019|Dalton Trans.|48|446|doi:10.1039/C8DT03827A