{"id":8705,"date":"2023-07-21T11:35:34","date_gmt":"2023-07-21T11:35:34","guid":{"rendered":"https:\/\/komorebi.ai\/?page_id=8705"},"modified":"2023-09-21T10:58:25","modified_gmt":"2023-09-21T10:58:25","slug":"inclusive-dijet-hadroproduction-with-a-rapidity-veto-constraint","status":"publish","type":"page","link":"https:\/\/komorebi.ai\/en\/inclusive-dijet-hadroproduction-with-a-rapidity-veto-constraint\/","title":{"rendered":"Inclusive dijet hadroproduction with a rapidity veto constraint"},"content":{"rendered":"
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Inclusive dijet hadroproduction with a rapidity veto constraint<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Nuclear Physics B, 2018<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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This study explores ratios of azimuthal-angle<\/strong> distributions in Mueller-Navelet jets, focusing on scenarios where a rapidity veto constraint is applied to restrict minijet radiation activity.\u00a0<\/span><\/p>

The research reassesses the required value of the rapidity separation ‘b’ in the context of the NLLA BFKL Green\u2019s function’s asymptotic growth, which has been found to prevent unphysical cross-sections<\/strong>.\u00a0<\/span><\/p>

This point is investigated from a phenomenological perspective, determining optimal ‘b’ values that best align with angular distributions measured at the Large Hadron Collider <\/strong>(LHC), while considering impact factors and parton distribution effects.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The study explores parameters for perturbative expansion in particle physics, enhancing accuracy in fields like quantum computing, health technology, nuclear energy, and environmental monitoring.\n<\/p><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Where does it apply?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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It can contribute to advancements in <\/span>quantum computing<\/b>, beneficial for high-tech businesses.\u00a0<\/span><\/p>

In the medical technology field, it can enhance the development of <\/span>imaging technologies<\/b> and radiation therapy.<\/span><\/p>

The research is also relevant for <\/span>aerospace and defense<\/b> sectors, offering protection strategies against high-radiation environments.\u00a0<\/span>Moreover, its implications can be useful for the energy industry, specifically <\/span>nuclear <\/b>and potentially fusion energy. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Why does it matters?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The research matters because it proposes a <\/span>new method to stabilize perturbative expansion in particle physics<\/b>, enhancing alignment with existing Large Hadron Collider data.\u00a0<\/span><\/p>

The findings provide insights into the limitations of theoretical models and the necessary parameters for accurate data description.\u00a0<\/span><\/p>

Additionally, the research validates the effectiveness of specific renormalization schemes in understanding complex particle interactions.\u00a0<\/span><\/p>

These advancements contribute to the <\/span>accuracy of predictive models<\/b> in particle physics, influencing fields that depend on these models and predictions.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Inclusive dijet hadroproduction with a rapidity veto constraint<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Nuclear Physics B, 2018<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tDavid Gordo<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tCEO<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Other publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Regression Tree Ensembles For Wind Energy And Solar Radiation Prediction<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Reinforcement Learning under Threats<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Variationally Inferred Sampling through a Refined Bound\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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The study highlights how ensemble models enhance energy forecasts, promoting better energy management and investment strategies in the renewable sector.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The study introduces Threatened Markov Decision Processes and a level-k reasoning approach. It supports decision making in adversarial reinforcement learning scenarios, relevant to cybersecurity, finance and AI.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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A new framework that enhances Bayesian inference in probabilistic models enhancing the efficiency of decision-making processes in various fields including financial analysis, risk management, machine learning, and logistics.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tRenewable energy, Predictive Analytics<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tReinforcement Learning, Decision Making<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\tFinancial and risk analysis, Bayesian inference<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Learn More >><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Inclusive dijet hadroproduction with a rapidity veto constraint Nuclear Physics B, 2018 Abstract This study explores ratios of azimuthal-angle distributions in Mueller-Navelet jets, focusing on scenarios where a rapidity veto constraint is applied to restrict minijet radiation activity. The research reassesses the required value of the rapidity separation ‘b’ in the context of the NLLA […]<\/p>","protected":false},"author":1,"featured_media":9258,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"yoast_head":"\nInclusive dijet hadroproduction with a rapidity veto constraint - Komorebi AI<\/title>\n<meta name=\"description\" content=\"Rapidity veto value for LHC data interpretation, impacting quantum computing, health tech, nuclear energy, and environmental monitoring.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/komorebi.ai\/en\/inclusive-dijet-hadroproduction-with-a-rapidity-veto-constraint\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inclusive dijet hadroproduction with a rapidity veto constraint - 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