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Relating Theory And Data by Bennet B. Murdock
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1Relating Theory And Data : Essays On Human Memory In Honor Of Bennet B. Murdock
“Relating Theory And Data : Essays On Human Memory In Honor Of Bennet B. Murdock” Metadata:
- Title: ➤ Relating Theory And Data : Essays On Human Memory In Honor Of Bennet B. Murdock
- Language: English
“Relating Theory And Data : Essays On Human Memory In Honor Of Bennet B. Murdock” Subjects and Themes:
- Subjects: Memory -- Congresses - Memory
Edition Identifiers:
- Internet Archive ID: relatingtheoryda0000unse
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The book is available for download in "texts" format, the size of the file-s is: 1099.16 Mbs, the file-s for this book were downloaded 39 times, the file-s went public at Thu May 07 2020.
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2Relating Incomplete Data And Incomplete Theory
By Pierre Binetruy, G. L. Kane, Brent D. Nelson, Lian-Tao Wang, Ting T. Wang and ;
Assuming string theorists will not soon provide a compelling case for the primary theory underlying particle physics, the field will proceed as it has historically: with data stimulating and testing ideas. Ideally the soft supersymmetry breaking Lagrangian will be measured and its patterns will point to the underlying theory. But there are two new problems. First a matter of principle: the theory may be simplest at distance scales and in numbers of dimensions where direct experiments are not possible. Second a practical problem: in the foreseeable future (with mainly hadron collider data) too few observables can be measured to lead to direct connections between experiment and theory. In this paper we discuss and study these issues and consider ways to circumvent the problems, studying models to test methods. We propose a semi-quantitative method for focusing and sharpening thinking when trying to relate incomplete data to incomplete theory, as will probably be necessary.
“Relating Incomplete Data And Incomplete Theory” Metadata:
- Title: ➤ Relating Incomplete Data And Incomplete Theory
- Authors: ➤ Pierre BinetruyG. L. KaneBrent D. NelsonLian-Tao WangTing T. Wang;
- Language: English
Edition Identifiers:
- Internet Archive ID: arxiv-hep-ph0312248
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 23.77 Mbs, the file-s for this book were downloaded 79 times, the file-s went public at Mon Sep 23 2013.
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