DGLAP evolution of parton distributions at approximate N3^3LO

We present recent progress towards a global determination of parton distribution functions (PDFs) at approximate N$^3$LO (aN$^3$LO) accuracy within the NNPDF framework. We construct a parametrisation of the $\mathcal{O}(\alpha_s^4)$ QCD splitting functions and anomalous dimensions reproducing all known exact results, estimate the associated missing and incomplete higher order uncertainties (MHOU and IHOU, respectively), and implement it in the open-source DGLAP code EKO enabling PDFs to be evolved at aN$^3$LO accuracy in the NNPDF fitting framework. We compare aN$^3$LO calculation of splitting functions with the results of lower perturbative orders and quantify the impact of the various sources of theoretical uncertainties.Comment: DIS202

SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

The Standard Model Effective Field Theory (SMEFT) provides a robust framework to interpret experimental measurements in the context of new physics scenarios while minimising assumptions on the nature of the underlying UV-complete theory. We present the Python open source SMEFiT framework, designed to carry out parameter inference in the SMEFT within a global analysis of particle physics data. SMEFiT is suitable for inference problems involving a large number of EFT degrees of freedom, without restrictions on their functional dependence in the fitted observables, can include UV-inspired restrictions in the parameter space, and implements arbitrary rotations between operator bases. Posterior distributions are determined from two complementary approaches, Nested Sampling and Monte Carlo optimisation. SMEFiT is released together with documentation, tutorials, and post-analysis reporting tools, and can be used to carry out state-of-the-art EFT fits of Higgs, top quark, and electroweak production data. To illustrate its functionalities, we reproduce the results of the recent ATLAS EFT interpretation of Higgs and electroweak data from Run II and demonstrate how equivalent results are obtained in two different operator bases.Comment: 19 pages, 5 figures. The smefit framework is available from https://github.com/LHCfitNikhef/smefit_releas

CLIMATE CHANGE ADAPTATION MEASURES FOR ITALIAN COASTAL CITIES

Coastal cities are very vulnerable to climate change and naturalhazards. The risks caused by climate change have quadrupled in the past 30 years, causing both human and economic losses (UNISDR, 2012). These risks are also known as natural hazards and are generally attributable to extreme weather events such as: storm intensity, urban heat island, drought and flooding as well as sea level rise and coastal erosion (IPCC, 2007a). These threats have consequences and impacts on lives and livelihoods of coastal cities communities, on theirinfrastructures, economy and governments. Thus, to avoidemergences and disaster situations it is important to rethink and transform coastal cities in \u201ccoastal resilient cities\u201d, through a comprehensive and site-specific strategy for urban development in a climate changes adaptation perspective. In that framework, the research is part of the more broadestresearch field studying the climate change impacts on coastalcities, considering the relation between the specificcharacteristics of such cities (physics, social and economic), itsurban form/design, and especially their ability to adapt to climate change. The research\u2019s focus will be on the Italiancoastal cities and the NAS (National Adaption Strategy) thatencourages a "flexible" and "downscaling" approach,recognizing at the Italian Coastal Cities further critical issues in the implementation of adaptation measures (green&blueinfrastructure, green roofs, new materials, etc.), namely the small, historical, and touristic dimension, which needs to be protected. The main objective will be to propose, in line with the NAS, guidelines that through an integrated and participativedecisionmaking model, will be able to orient the policy processtowards a coherent planning/design. Moreover, it will create a European network of universities, local authorities and businesses to work together on this issue

Verso un approccio quantitativo a supporto dei processi di pianificazione costiera climate proof

La pianificazione delle aree costiere, intese da sempre come un luogo di forte interesse per l\u2019insediamento umano, l\u2019attrattivit\ue0 economica e le peculiarit\ue0 naturalistiche, costituisce per l\u2019Italia un tema di particolare rilevanza a causa degli impatti che il cambiamento climatico (CC) avr\ue0 sul tessuto economico-produttivo, sulla popolazione e sulle infrastrutture insediate lungo i litorali. A causa della ridotta comprensione e quantificazione degli impatti del CC e delle sfide economiche ad esso connesse, le attuali capacit\ue0 di adattamento delle coste sono ancora deboli. Il presente contributo ha come obiettivo generale quello di presentare delle linee guida operative per la quantificazione e il dimensionamento tipologico delle aree costiere coinvolte dagli impatti dei cambiamenti climatici (CC), in modo da supportare ed orientare processi di pianificazione climate proof della costa italiana. L\u2019approfondimento svolto su 6 aree pilota, distinte per impatti costieri, geomorfologia, aspetti socioeconomici, demografici e per tipologia di contesto urbano \ue8 stato il primo tassello informativo per comprendere cosa comporti assumere la quantificazione degli impatti climatici (IC) all\u2019interno di politiche e strumenti di governo del territorio, cercando di aggiornare lo stato delle conoscenze che contribuiscono ad accrescere la capacit\ue0 di adattamento di un territorio costiero

The automation of SMEFT-Assisted Constraints on UV-Complete Models

The ongoing Effective Field Theory (EFT) program at the LHC and elsewhere is motivated by streamlining the connection between experimental data and UV-complete scenarios of heavy new physics beyond the Standard Model (BSM). This connection is provided by matching relations mapping the Wilson coefficients of the EFT to the couplings and masses of UV-complete models. Building upon recent work on the automation of tree-level and one-loop matching in the SMEFT, we present a novel strategy automating the constraint-setting procedure on the parameter space of general heavy UV-models matched to dimension-six SMEFT operators. A new Mathematica package, match2fit, interfaces Matchmakereft, which derives the matching relations for a given UV model, and SMEFiT, which provides bounds on the Wilson coefficients by comparing with data. By means of this pipeline and using both tree-level and one-loop matching, we derive bounds on a wide range of single- and multi-particle extensions of the SM from a global dataset composed by LHC and LEP measurements. Whenever possible, we benchmark our results with existing studies. Our framework realises one of the main objectives of the EFT program in particle physics: deploying the SMEFT to bypass the need of directly comparing the predictions of heavy UV models with experimental data.Comment: 28+15 pages, 14 figures, 4 appendices. Open-source code is available on http://lhcfitnikhef.github.io/smefit_release/ and http://github.com/arossia94/match2fi

Towards a Model-Based Field-Frequency Lock for Fast-Field Cycling NMR

Fast-field cycling nuclear magnetic resonance (FFC NMR) relaxometry allows to investigate molecular dynamics of complex materials. FFC relaxometry experiments require the magnetic field to reach different values in few milliseconds and field oscillations to stay within few ppms during signal acquisition. Such specifications require the introduction of a novel field-frequency lock (FFL) system. In fact, control schemes based only on current feedback may not guarantee field stability, while standard FFLs are designed to handle very slow field fluctuations, such as thermal derives, and may be ineffective in rejecting faster ones. The aim of this work is then to propose a methodology for the synthesis of a regulator that guarantees rejection of field fluctuations and short settling time. Experimental trials are performed for both model validation and evaluation of the closed-loop performances. Relaxometry experiments are performed to verify the improvement obtained with the new FFL. The results highlight the reliability of the model and the effectiveness of the overall approach