Physics with CEBAF at 12 GeV and future opportunities

Arrington, J.; Battaglieri, M.; Boehnlein, A.; Bogacz, S.A.; Brooks, W. K.; Chudakov, E.; Cloet, I.C.; Ent, R.; H, Gao; Grames, Joseph; Harwood, L. H.; Ji, Xiangdong; Keppel, C. E.; Krafft, Geoffrey; McKeown, R. D.; Napolitano, J.; Qiu, Jian; Rossi, P.; Schram, M.; Stepanyan, S.; Stevens, J. R.; Szczepaniak, A.P.; Toro, Natalia; Zheng, X.

doi:10.1016/j.ppnp.2022.103985

Cited by 47 publications

(13 citation statements)

References 291 publications

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“…The study of available ep → eJ/ψp data gives valuable information on the Q 2 dependence of heavy quarkonium production [194,195]. This is widely used by the simulation of JLab-12 [196] and US-EIC [154,155]. The virtual photon flux is defined as,…”

Section: If a Resonant Baryon Or Baryonmentioning

confidence: 99%

“…Fortunately available data have already imposed valuable constraint on the properties of P c states [239]. More specifically, the JLab photoproduction data display no sizable peaks upon the non-resonant t-channel process in the cross section [153,157,196]. This puts an upper bound of photoproduction cross sections of P c or modeldependent B(P + c → J/ψp), which are proceeding toward a size of several nb or a few percentage, respectively.…”

Section: Exotic Candidates In Charm Sectormentioning

confidence: 99%

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Photo- and electro-production of narrow exotic states: from light quarks to charm and up to bottom

Xu¹

2023

Preprint

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Accessing a full image of the inner content of hadrons represents a central endeavour of modern particle physics, with the main scientific motivation to investigate the strong interaction binding the visible matter. On the one hand, the structure of known exotic candidates is a fundamental open issue addressed widely by scientists. On the other hand, looking for new states of exotic nature is a central component for theoretical and experimental efforts from electron-positron machine and electron accelerator with fixed target to heavy ion and electron-ion colliders. In this article we present a succinct short overview of the attempt to search for exotic narrow N * and Z states containing light quarks only or also charm, and its connotation for bottom regions (the latter two are also known as P c (Z c ) and P b (Z b ) states, respectively in the literature). We address the effort of searching for exotic narrow N * and Z states in light quark sector. We focus on recent progress in searching for signal of P c and Z c states photoproduction and its implication into the P b and Z b photoproduction and their decay properties. We also discuss future perspectives for the field in electron-ion colliders, a good place to disentangle the nature of some of these states and investigate some other enlightening topics including QCD trace anomaly and quarkonium-nucleon scattering length.

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Section: If a Resonant Baryon Or Baryonmentioning

confidence: 99%

Section: Exotic Candidates In Charm Sectormentioning

confidence: 99%

Photo- and electro-production of narrow exotic states: from light quarks to charm and up to bottom

Xu¹

2023

Preprint

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“…For spin-half targets such as the nucleon, there are four complex-valued CFFs (H , E, H , Ẽ) that enter the DVCS cross section at leading-twist, which are related to several quark and gluon leading-twist GPDs (𝐻 𝑎 , 𝐸 𝑎 , H𝑎 , Ẽ𝑎 ) by [18] F (𝜉, 𝑡, 𝑄 2…”

Section: Cffs Gpds and Sgpdsmentioning

confidence: 99%

“…3 and 4. In particular, we have generated 50 data points for 𝑄 2 values between the input scale of 𝑄 2 0 = (1.27 GeV) 2 and 𝑄 2 = 100 GeV 2 , and assigned a 1% error to this simulated CFF data. These results were obtained by taking 𝑡 = −1.2 GeV 2 in the VGG model, which is an arbitrary choice and does not impact the conclusions drawn from our analysis but does accommodate the skewness values 𝜉 = 0.01, 0.1, 0.5.…”

Section: Simulated Cff Data Shadow Gpds and Qcd Evolutionmentioning

confidence: 99%

Shedding light on shadow generalized parton distributions

Moffat¹,

Freese²,

Cloët³

et al. 2023

Preprint

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The feasibility of extracting generalized parton distributions (GPDs) from deeply-virtual Compton scattering (DVCS) data has recently been questioned because of the existence of an infinite set of so-called "shadow GPDs" (SGPDs). These SGPDs depend on the process and manifest as multiple solutions (at a fixed scale 𝑄 2 ) to the inverse problem that needs to be solved to infer GPDs from DVCS data. SGPDs therefore pose a significant challenge for extracting GPDs from DVCS data. With this motivation we study the extent to which QCD evolution can provide constraints on SGPDs. This is possible because the known classes of SGPDs begin to contribute to observables after evolution, and can then be constrained (at the input scale 𝑄 2 0 ) by data that has a finite 𝑄 2 range. The impact that SGPDs could have on determining the total angular momentum, pressure and sheer force distributions, and tomography is also discussed. Our key finding is that scale evolution, coupled with data over a wide range of skewness 𝜉 and 𝑄 2 , can constrain the class of SGPDs that we studied and potentially make possible the extraction of GPDs from DVCS data over a limited range in the GPD variables.

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“…Measurements of deep-inelastic scattering (DIS) by a multitude of experiments all-over the world [1][2][3][4][5] and the study of these measurements by the theoretical and experimental communities [5] have revealed information on the quarkgluon structure of nuclear matter and established quantum chromodynamics (QCD) as the theory of the strong interaction. The experiments at the HERA collider facility at the DESY research centre in Hamburg, Germany have played an important role in these studies.…”

Section: Introductionmentioning

confidence: 99%

Deeply learning deep inelastic scattering kinematics

et al. 2022

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We study the use of deep learning techniques to reconstruct the kinematics of the neutral current deep inelastic scattering (DIS) process in electron–proton collisions. In particular, we use simulated data from the ZEUS experiment at the HERA accelerator facility, and train deep neural networks to reconstruct the kinematic variables $$Q^2$$ Q 2 and x. Our approach is based on the information used in the classical construction methods, the measurements of the scattered lepton, and the hadronic final state in the detector, but is enhanced through correlations and patterns revealed with the simulated data sets. We show that, with the appropriate selection of a training set, the neural networks sufficiently surpass all classical reconstruction methods on most of the kinematic range considered. Rapid access to large samples of simulated data and the ability of neural networks to effectively extract information from large data sets, both suggest that deep learning techniques to reconstruct DIS kinematics can serve as a rigorous method to combine and outperform the classical reconstruction methods.

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Physics with CEBAF at 12 GeV and future opportunities

Cited by 47 publications

References 291 publications

Photo- and electro-production of narrow exotic states: from light quarks to charm and up to bottom

Photo- and electro-production of narrow exotic states: from light quarks to charm and up to bottom

Shedding light on shadow generalized parton distributions

Deeply learning deep inelastic scattering kinematics

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