Search results for "PG"
showing 10 items of 1521 documents
"Figure 10b-1" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN)…
2023
The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 10–40% centrality [panel (b)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The $v_2$ of $\Lambda$ and K$^0_S$ are measured by STAR collaboration [21]. The error bars (open boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown on the results from this study are type A and B only.
"Figure 8b-1" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …
2023
Identified hadron $v_2$ in central (0–20% centrality, left panels) Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Panels (a) and (b) show $v_2$ as a function of transverse momentum $p_T$. The $v_2$ of all species for centrality 0–20% has been scaled up by a factor of 1.6 for better comparison with results of 20–60% centrality. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.
"Figure 9a-1" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …
2023
The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 10–20% centrality [panel (b)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.
"Figure 9c-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …
2023
The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 0–10% centrality [panel (a)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.
"Figure 10b-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN)…
2023
The quark-number-scaled $v_2$ ($v_2/n_q$) of identified hadrons are shown as a function of the kinetic energy per quark, KE$_T/n_q$ in 10–40% centrality [panel (b)] in Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. The $v_2$ of $\Lambda$ and K$^0_S$ are measured by STAR collaboration [21]. The error bars (open boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown on the results from this study are type A and B only.
"Figure 8b-3" of "Deviation from quark-number scaling of the anisotropy parameter v_2 of pions, kaons, and protons in Au+Au collisions at sqrt(s_NN) …
2023
Identified hadron $v_2$ in central (0–20% centrality, left panels) Au + Au collisions at $\sqrt{s_{NN}}$ = 200 GeV. Panels (a) and (b) show $v_2$ as a function of transverse momentum $p_T$. The $v_2$ of all species for centrality 0–20% has been scaled up by a factor of 1.6 for better comparison with results of 20–60% centrality. The error bars (shaded boxes) represent the statistical (systematic) uncertainties. The systematic uncertainties shown are type A and B only.
"Figure 4" of "Measurements of elliptic and triangular flow in high-multiplicity $^{3}$He$+$Au collisions at $\sqrt{s_{_{NN}}}=200$ GeV"
2023
Results for $v_2$ and $v_3$ as a function of $p_T$ for inclusive charged hadrons at midrapidity in 0-5% central $^3$He+Au collisions at $\sqrt{s_{NN}}$ = 200 GeV.
Hydrogen isotopes (δ2H) of polyunsaturated fatty acids track bioconversion by zooplankton
2022
1. Organisms at the base of aquatic food webs synthesize essential nutrients, such as omega-3 polyunsaturated fatty acids (n-3 PUFA), which are transferred to consumers at higher trophic levels. Many consumers, requiring n-3 long-chain (LC) PUFA, such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), have limited ability to biosynthesize them from the essential dietary precursor α-linolenic acid (ALA) and thus rely on dietary provision of LC-PUFA. 2. We investigated LC-PUFA metabolism in freshwater zooplankton using stable hydrogen isotopes (δ2H) of fatty acids as tracers. We conducted feeding experiments with the freshwater keystone grazer Daphnia to quantify changes in the δ2…
Erosion, screening, and migration of tungsten in the JET divertor
2019
The erosion of tungsten (W), induced by the bombardment of plasma and impurity particles, determines the lifetime of plasma-facing components as well as impacting on plasma performance by the influx of W into the confined region. The screening of W by the divertor and the transport of W in the plasma determines largely the W content in the plasma core, but the W source strength itself has a vital impact on this process. The JET tokamak experiment provides access to a large set of W erosion-determining parameters and permits a detailed description of the W source in the divertor closest to the ITER one: (i) effective sputtering yields and fluxes as function of impact energy of intrinsic (Be,…
FPGA-piirien hyödyntäminen ultranopeassa automatisoidussa kaupankäynnissä
2012
Ultranopeassa automatisoidussa kaupankäynnissä (HFT) aika on rahaa ja jo millisekunnin etu kilpailijoihin nähden voi tuottaa suurenkin voiton. Optimoinnin HFT-järjestelmän joka osissa nopeuttavat järjestelmää. FPGA-piirien käyttö voi nopeuttaa HFT-järjestelmää huomattavasti. Erityisesti FPGA-piiri soveltuu markkinasyötteen käsittelyyn. FPGA-piireillä savutetaan 5-22 kertainen nopeus yleiskäyttöiseen suorittimeen nähden markkinasyötteen käsittelyssä In high-frequency trading (HFT) time is money. Even a one millisecond advance to other traders can bring huge wins to the HFT system. Optimazations in different parts of the HFT system can make system faster. Using FPGAs signifacantly decreases l…