Stochastic resolution of the LHC inverse problem

Csaba Balázs; Dilani Kahawala

doi:10.1063/1.3327640

Stochastic resolution of the LHC inverse problem

Csaba Balázs, Dilani Kahawala

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing.

Original language	English
Title of host publication	SUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions
Pages	482-485
Number of pages	4
Volume	1200
DOIs	https://doi.org/10.1063/1.3327640
Publication status	Published - 2009
Event	17th International Conference on Supersymmetry and the Unification of Fundamental Interactions - Northeastern University, Boston, United States of America Duration: 5 Jan 2009 → 10 Jan 2009 Conference number: 17 http://nuweb.neu.edu/susy09/

Conference

Conference	17th International Conference on Supersymmetry and the Unification of Fundamental Interactions
Abbreviated title	SUSY 2009
Country/Territory	United States of America
City	Boston
Period	5/01/09 → 10/01/09
Internet address	http://nuweb.neu.edu/susy09/

Keywords

Dark matter
Rare decays
Supersymmetric standard model
Supersymmetry phenomenology

Access to Document

10.1063/1.3327640

Cite this

@inproceedings{2b07101d137649f0ba6571a408b1cc84,

title = "Stochastic resolution of the LHC inverse problem",

abstract = "We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing.",

keywords = "Dark matter, Rare decays, Supersymmetric standard model, Supersymmetry phenomenology",

author = "Csaba Bal{\'a}zs and Dilani Kahawala",

year = "2009",

doi = "10.1063/1.3327640",

language = "English",

isbn = "9780735407374",

volume = "1200",

pages = "482--485",

booktitle = "SUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions",

note = "17th International Conference on Supersymmetry and the Unification of Fundamental Interactions, SUSY 2009 ; Conference date: 05-01-2009 Through 10-01-2009",

url = "http://nuweb.neu.edu/susy09/",

}

Balázs, C & Kahawala, D 2009, Stochastic resolution of the LHC inverse problem. in SUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions. vol. 1200, pp. 482-485, 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions, Boston, Massachusetts, United States of America, 5/01/09. https://doi.org/10.1063/1.3327640

TY - GEN

T1 - Stochastic resolution of the LHC inverse problem

AU - Balázs, Csaba

AU - Kahawala, Dilani

N1 - Conference code: 17

PY - 2009

Y1 - 2009

N2 - We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing.

AB - We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing.

KW - Dark matter

KW - Rare decays

KW - Supersymmetric standard model

KW - Supersymmetry phenomenology

UR - http://www.scopus.com/inward/record.url?scp=77949881720&partnerID=8YFLogxK

U2 - 10.1063/1.3327640

DO - 10.1063/1.3327640

M3 - Conference Paper

AN - SCOPUS:77949881720

SN - 9780735407374

VL - 1200

SP - 482

EP - 485

BT - SUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions

T2 - 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions

Y2 - 5 January 2009 through 10 January 2009

ER -

Stochastic resolution of the LHC inverse problem

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this