Spin structure of baryon fragmentation functions

Ramachandran, R.; Bajpai, R. P.

doi:10.1016/0370-2693(82)90378-1

Cited by 16 publications

(18 citation statements)

References 10 publications

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“…The NLO effects also appear interesting from a more physical point of view. For instance, one would expect [20] that to a first approximation polarized-Λ production in SIA proceeds just via strange quark fragmentation s → Λ, i.e., is essentially sensitive to ∆D Λ s . NLO evolution on the other hand automatically generates non-vanishing nonstrange fragmentation functions due to the existence of flavor non-diagonal quark-to-quark splitting functions.…”

Section: Introductionmentioning

confidence: 99%

Next-to-leading order evolution of polarized and unpolarized fragmentation functions

Stratmann

Vogelsang

1997

Nuclear Physics B

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We determine the two-loop 'time-like' Altarelli-Parisi splitting functions, appearing in the next-to-leading order Q 2 -evolution equations for fragmentation functions, via analytic continuation of the corresponding 'space-like' splitting functions for the evolution of parton distributions. We do this for the case of unpolarized fragmentation functions and -for the first time -also for the functions describing the fragmentation of a longitudinally polarized parton into a longitudinally polarized spin-1/2 hadron such as a Λ baryon.Our calculation is based on the method proposed and employed by Curci, Furmanski and Petronzio in the unpolarized case in which we confirm their results.

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Section: Introductionmentioning

confidence: 99%

Next-to-leading order evolution of polarized and unpolarized fragmentation functions

Stratmann

Vogelsang

1997

Nuclear Physics B

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“…The QCD inspired Parton Model analysis sublamented with Altarelli-Parisi evolution equations for these functions is shown to explain the pion and kaon production rates at leading and next-to-leading order [5]. The another field of current interest is the inclusive Λ production at e − e + scattering experiments [6]. This is important as Λ s are produced copiously and also it is easy to detect them.…”

Section: Introductionmentioning

confidence: 99%

The polarised Λ production in QCD

Ravindran

1997

Nuclear Physics B

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The Q 2 evolution of polarised parton fragmentation functions is discussed using Altarelli-Parisi evolution equations. The first moments of both polarised quark and gluon fragmentation functions are shown to behave in a similar fashion at very high energies. This analysis is applicable to any hard processes involving production of polarised hadrons. The polarised Λ hyperon production in e + e − annihilation where this can be realised is considered. We present a complete α s (Q 2 ) corrections to the asymmetries discussed in the paper of Burkardt and Jaffe which demonstrates the extraction of various polarised fragmentation functions. To this order, these corrections are found to be scheme dependent similar to that of structure functions.

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“…The spring of 2023 49 has brought with it a shift in the global zeitgeist's attention towards foundation models in general, and the GPT family of large language models in particular. Leading the charge is OpenAI's ChatGPT, whose release has become a very public advertisement of the abilities that large language models possess (figure 27).…”

Section: Democratizing Foundation Modelsmentioning

confidence: 99%

Astronomia ex machina: a history, primer and outlook on neural networks in astronomy

Smith

2023

R. Soc. open sci.

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In this review, we explore the historical development and future prospects of artificial intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in astronomy through its three waves, from the early use of multilayer perceptrons, to the rise of convolutional and recurrent neural networks, and finally to the current era of unsupervised and generative deep learning methods. With the exponential growth of astronomical data, deep learning techniques offer an unprecedented opportunity to uncover valuable insights and tackle previously intractable problems. As we enter the anticipated fourth wave of astronomical connectionism, we argue for the adoption of GPT-like foundation models fine-tuned for astronomical applications. Such models could harness the wealth of high-quality, multimodal astronomical data to serve state-of-the-art downstream tasks. To keep pace with advancements driven by Big Tech, we propose a collaborative, open-source approach within the astronomy community to develop and maintain these foundation models, fostering a symbiotic relationship between AI and astronomy that capitalizes on the unique strengths of both fields.

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Spin structure of baryon fragmentation functions

Cited by 16 publications

References 10 publications

Next-to-leading order evolution of polarized and unpolarized fragmentation functions

Next-to-leading order evolution of polarized and unpolarized fragmentation functions

The polarised Λ production in QCD

Astronomia ex machina: a history, primer and outlook on neural networks in astronomy

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