Refine
Year of publication
Document Type
- Preprint (479)
- Article (384)
- Working Paper (1)
Language
- English (864)
Has Fulltext
- yes (864)
Is part of the Bibliography
- no (864)
Keywords
- Heavy Ion Experiments (14)
- Hadron-Hadron scattering (experiments) (12)
- LHC (9)
- Hadron-Hadron Scattering (7)
- Heavy-ion collision (6)
- Heavy-ion collisions (5)
- ALICE experiment (4)
- ALICE (3)
- Diffraction (3)
- Elastic scattering (3)
- pp collisions (3)
- Beam Energy Scan (2)
- Beauty production (2)
- Charm physics (2)
- Chiral Magnetic Effect (2)
- Collectivity (2)
- Correlation (2)
- Elliptic flow (2)
- Experimental nuclear physics (2)
- Experimental particle physics (2)
- Heavy Ions (2)
- Heavy Quark Production (2)
- Jets (2)
- Particle and resonance production (2)
- Particle correlations and fluctuations (2)
- Pb–Pb collisions (2)
- Polarization (2)
- Quark-Gluon Plasma (2)
- Quarkonium (2)
- RHIC (2)
- Shear viscosity (2)
- Single electrons (2)
- 900 GeV (1)
- ALICE detector (1)
- ALL (1)
- AML (1)
- Anti-nuclei (1)
- Atmospheric science (1)
- B-slope (1)
- Beam energy scan (1)
- Boosted Jets (1)
- CVID (1)
- Centrality Class (1)
- Centrality Selection (1)
- Charged-particle multiplicity (1)
- Charm quark spatial diffusion coefficient (1)
- Charmonia (1)
- Chiral magnetic effect (1)
- Climate change (1)
- Coalescence (1)
- Cold nuclear matter effects (1)
- Comparison with QCD (1)
- Critical point (1)
- Deuteron production (1)
- Di-hadron correlations (1)
- Electron-pion identification (1)
- Electroweak interaction (1)
- Entomology (1)
- European Society for Immunodeficiencies (ESID) (1)
- Femtoscopy (1)
- Fibre/foam sandwich radiator (1)
- Flow (1)
- Forward physics (1)
- German PID-NET registry (1)
- Groomed jet radius (1)
- HBT (1)
- Hadron production (1)
- Hadron-Hadron Scattering Heavy (1)
- Hadron-hadron interactions (1)
- Hadronization (1)
- Heavy Ion Experiment (1)
- Heavy flavor production (1)
- Heavy flavour production (1)
- Heavy ion collisions (1)
- Heavy ions (1)
- Heavy-Ion Collision (1)
- Heavy-flavor decay electron (1)
- Heavy-flavour decay muons (1)
- Heavy-flavour production (1)
- Heavy-ion (1)
- Higher moments (1)
- IgG substitution therapy (1)
- Inclusive spectra (1)
- Intensity interferometry (1)
- Interference fragmentation function (1)
- Invariant Mass Distribution (1)
- Ionisation energy loss (1)
- J/ψ suppression (1)
- Jet Physics (1)
- Jet Substructure (1)
- Jet substructure (1)
- Jets and Jet Substructure (1)
- Lepton-Nucleon Scattering (experiments) (1)
- MLL (1)
- Mid-rapidity (1)
- Minimum Bias (1)
- Monte Carlo (1)
- Multi-strange baryons (1)
- Multi-wire proportional drift chamber (1)
- Multiple parton interactions (1)
- Net-charge correlations (1)
- Net-charge fluctuations (1)
- Neural network (1)
- Nonflow (1)
- Nuclear modification factor (1)
- PID prevalence (1)
- PYTHIA (1)
- Particle and Resonance Production (1)
- Pb–Pb (1)
- Phylogenomics (1)
- Population genetics (1)
- Production Cross Section (1)
- Properties of Hadrons (1)
- Proton-proton collisions (1)
- Proton–proton (1)
- Proton–proton collisions (1)
- QCD (1)
- Quark Production (1)
- Rapidity Range (1)
- Relativistic heavy ion physics (1)
- Relativistic heavy-ion collisions (1)
- Resolution Parameter (1)
- STAR (1)
- Single muons (1)
- SoftDrop (1)
- Spin alignment (1)
- Splitting function (1)
- Systematic Uncertainty (1)
- TR (1)
- Thermal model (1)
- Time Projection Chamber (1)
- Tracking (1)
- Transition radiation detector (1)
- Transverse momentum (1)
- Transversity (1)
- Trigger (1)
- Vector Boson Production (1)
- Xenon-based gas mixture (1)
- acute leukemia (1)
- biogeographic legaciese (1)
- chromosomal translocations (1)
- dE/dx (1)
- ectosomes (1)
- exosomes (1)
- extracellular vesicles (1)
- forest classification (1)
- forest functional similarity (1)
- guidelines (1)
- heavy ion experiments (1)
- microparticles (1)
- microvesicles (1)
- minimal information requirements (1)
- p+p collisions (1)
- phylogenetic community distance (1)
- primary immunodeficiency (PID) (1)
- quark gluon plasma (1)
- registry for primary immunodeficiency (1)
- reproducibility (1)
- rigor (1)
- spectra (1)
- standardization (1)
- translocation partner genes (1)
- tropical forests (1)
- √sN N = 2.76 TeV (1)
Institute
We present results on transverse momentum (pT) and rapidity (y) differential production cross sections, mean transverse momentum and mean transverse momentum square of inclusive J/ψ and ψ(2S) at forward rapidity (2.5<y<4) as well as ψ(2S)-to-J/ψ cross section ratios. These quantities are measured in pp collisions at center of mass energies s√=5.02 and 13 TeV with the ALICE detector. Both charmonium states are reconstructed in the dimuon decay channel, using the muon spectrometer. A comprehensive comparison to inclusive charmonium cross sections measured at s√=2.76, 7 and 8 TeV is performed. A comparison to non-relativistic quantum chromodynamics and fixed-order next-to-leading logarithm calculations, which describe prompt and non-prompt charmonium production respectively, is also presented. A good description of the data is obtained over the full pT range, provided that both contributions are summed. In particular, it is found that for pT>15 GeV/c the non-prompt contribution reaches up to 50% of the total charmonium yield.
We present results on transverse momentum (pT) and rapidity (y) differential production cross sections, mean transverse momentum and mean transverse momentum square of inclusive J/ψ and ψ(2S) at forward rapidity (2.5<y<4) as well as ψ(2S)-to-J/ψ cross section ratios. These quantities are measured in pp collisions at center of mass energies s√=5.02 and 13 TeV with the ALICE detector. Both charmonium states are reconstructed in the dimuon decay channel, using the muon spectrometer. A comprehensive comparison to inclusive charmonium cross sections measured at s√=2.76, 7 and 8 TeV is performed. A comparison to non-relativistic quantum chromodynamics and fixed-order next-to-leading logarithm calculations, which describe prompt and non-prompt charmonium production respectively, is also presented. A good description of the data is obtained over the full pT range, provided that both contributions are summed. In particular, it is found that for pT>15 GeV/c the non-prompt contribution reaches up to 50% of the total charmonium yield.
Knowledge about the biogeographic affinities of the world’s tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world’s tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests.
Non-standard errors
(2021)
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.