TMDlib2 and TMDplotter: a platform for 3D hadron structure studies

A common library, TMDlib2, for Transverse-Momentum-Dependent distributions (TMDs) and unintegrated parton distributions (uPDFs) is described, which allows for easy access of commonly used TMDs and uPDFs, providing a three-dimensional (3D) picture of the partonic structure of hadrons. The tool TMDplotter allows for web-based plotting of distributions implemented in TMDlib2, together with collinear pdfs as available in LHAPDF

Effect of different protein sources on satiation and short-term satiety when consumed as a starter

<p>Abstract</p> <p>Background</p> <p>Because the source of protein may play a role in its satiating effect, we investigated the effect of different proteins on satiation and short-term satiety.</p> <p>Methods</p> <p>Two randomized single-blind cross-over studies were completed. In the first study, we investigated the effect of a preload containing 20 g of casein, whey, pea protein, egg albumin or maltodextrin vs. water control on food intake 30 min later in 32 male volunteers (25 ± 4 yrs, BMI 24 ± 0.4 kg/m²). Subjective appetite was assessed using visual analogue scales at 10 min intervals after the preload. Capillary blood glucose was measured every 30 min during 2 hrs before and after the ad libitum meal. In the second study, we compared the effect of 20 g of casein, pea protein or whey vs. water control on satiation in 32 male volunteers (25 ± 0.6 yrs, BMI 24 ± 0.5 kg/m²). The preload was consumed as a starter during an ad libitum meal and food intake was measured. The preloads in both studies were in the form of a beverage.</p> <p>Results</p> <p>In the first study, food intake was significantly lower only after casein and pea protein compared to water control (P = 0.02; 0.04 respectively). Caloric compensation was 110, 103, 62, 56 and 51% after casein, pea protein, whey, albumin and maltodextrin, respectively. Feelings of satiety were significantly higher after casein and pea protein compared to other preloads (P < 0.05). Blood glucose response to the meal was significantly lower when whey protein was consumed as a preload compared to other groups (P < 0.001). In the second study, results showed no difference between preloads on ad libitum intake. Total intake was significantly higher after caloric preloads compared to water control (P < 0.05).</p> <p>Conclusion</p> <p>Casein and pea protein showed a stronger effect on food intake compared to whey when consumed as a preload. However, consuming the protein preload as a starter of a meal decreased its impact on food intake as opposed to consuming it 30 min before the meal.</p

Dynamical resolution scale in transverse momentum distributions at the LHC

The QCD evolution of transverse momentum dependent (TMD) distribution functions has recently been formulated in a parton branching (PB) formalism. In this approach, soft-gluon coherence effects are taken into account by introducing the soft-gluon resolution scale and exploiting the relation between transverse-momentum recoils and branching scales. In this work we investigate the implications of dynamical, i.e., branching scale dependent, resolution scales. We present both analytical studies and numerical solution of PB evolution equations in the presence of dynamical resolution scales. We use this to compare PB results with other approaches in the literature, and to analyze predictions for transverse momentum distributions in $Z$-boson production at the Large Hadron Collider (LHC).The QCD evolution of transverse momentum dependent (TMD) distribution functions has recently been formulated in a parton branching (PB) formalism. In this approach, soft-gluon coherence effects are taken into account by introducing the soft-gluon resolution scale and exploiting the relation between transverse-momentum recoils and branching scales. In this work we investigate the implications of dynamical, i.e., branching scale dependent, resolution scales. We present both analytical studies and numerical solution of PB evolution equations in the presence of dynamical resolution scales. We use this to compare PB results with other approaches in the literature, and to analyze predictions for transverse momentum distributions in Z -boson production at the Large Hadron Collider (LHC)

The Parton Branching Sudakov and its relation to CSS

The Transverse Momentum Dependent (TMD) Parton Branching (PB) method is a Monte Carlo (MC) approach to obtain QCD high energy collider predictions grounded in ideas originating from the TMD factorization. It provides an evolution equation for the TMD parton distribution functions (TMDs) and a framework to use those within TMD MC generators.This work focuses on the structure of the PB Sudakov form factor. The Sudakov form factor is factorized in the perturbative and non-perturbative regions by introducing an intermediate separation scale motivated by angular ordering. The logarithmic order of the perturbative low-qt resummation achieved so far by the PB Sudakov is discussed by comparing it to the Collins-Soper-Sterman (CSS) method and is increased up to next-to-next-to-leading logarithm (NNLL) with the use of physical (effective) coupling. A non-perturbative Sudakov form factor provides a term analogous to Collins-Soper (CS) kernel. The effects of different evolution scenarios, including or not the non-perturbative Sudakov contribution, on a numerical extraction of the CS kernel are investigated