Loading…

Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision

Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utili...

Full description

Saved in:
Bibliographic Details
Published in:Physics of particles and nuclei letters 2019-11, Vol.16 (6), p.779-788
Main Authors: Bhaduri, S., Bhaduri, A., Ghosh, D.
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833
cites cdi_FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833
container_end_page 788
container_issue 6
container_start_page 779
container_title Physics of particles and nuclei letters
container_volume 16
creator Bhaduri, S.
Bhaduri, A.
Ghosh, D.
description Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated scaling parameter extracted with the complex network based technique of Visibility Graph. We have analyzed the data of Pb–Pb collision data sample at 2.76 TeV from ALICE Collaboration and analyzed different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. This is a chaos-based complex network technique where simple parameters like Average Clustering Coefficient and Power of Scale-freeness of Visibility Graph (PSVG) may hint at formation of some exotic or unusual resonance states without using conventional methods. From this experiment we may infer that highest range of Average clustering coefficient, might be the resonance states/clusters from where the hadronic decay might have occurred and few clusters with highest value of this parameter may indicate that those clusters may be the ancestors of some strange particles. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell–Yan processes is immensely important as these processes enable us to validate the Standard Model-SM predictions for the fundamental particles interaction at the new energy region and also to probe for new physics beyond SM. Hence we have applied the same methodology and extracted the same parameters for p – p collision data at 8 TeV from CMS, to detect possible resonance states eventually generating lepton pairs.
doi_str_mv 10.1134/S1547477119060062
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2330454559</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2330454559</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833</originalsourceid><addsrcrecordid>eNp1UMtOwzAQtBBIlMIHcLPEOWDHj8THUhWKVMEhcI4cx0lTEjvYRjR_j6sicUCcZqSdmd0dAK4xusWY0LsCM5rRLMNYII4QT0_ADDOCk5zx7PTAaZYc5ufgwvsdQpQQRGZgV0zDoIObkkLJvjMtvJde13Bph7HXe_isw5d173Axjs5KtYXBwtV-7K3TEW3oFFzL2lkTSRFk0B52Bq67dpusjHbtFJP6vvOdNZfgrJG911c_OAdvD6vX5TrZvDw-LRebRBHMQ5LLijOthKA5p2nFK1alTDU5rbIKSSYaoYRMGcmbGjHeNEJKIjmpkcQ0egiZg5tjbrz441P7UO7spzNxZZnGpymjjImowkeVctZ7p5tydN0g3VRiVB4qLf9UGj3p0eOj1rTa_Sb_b_oGUvV4UQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2330454559</pqid></control><display><type>article</type><title>Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>Bhaduri, S. ; Bhaduri, A. ; Ghosh, D.</creator><creatorcontrib>Bhaduri, S. ; Bhaduri, A. ; Ghosh, D.</creatorcontrib><description>Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated scaling parameter extracted with the complex network based technique of Visibility Graph. We have analyzed the data of Pb–Pb collision data sample at 2.76 TeV from ALICE Collaboration and analyzed different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. This is a chaos-based complex network technique where simple parameters like Average Clustering Coefficient and Power of Scale-freeness of Visibility Graph (PSVG) may hint at formation of some exotic or unusual resonance states without using conventional methods. From this experiment we may infer that highest range of Average clustering coefficient, might be the resonance states/clusters from where the hadronic decay might have occurred and few clusters with highest value of this parameter may indicate that those clusters may be the ancestors of some strange particles. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell–Yan processes is immensely important as these processes enable us to validate the Standard Model-SM predictions for the fundamental particles interaction at the new energy region and also to probe for new physics beyond SM. Hence we have applied the same methodology and extracted the same parameters for p – p collision data at 8 TeV from CMS, to detect possible resonance states eventually generating lepton pairs.</description><identifier>ISSN: 1547-4771</identifier><identifier>EISSN: 1531-8567</identifier><identifier>DOI: 10.1134/S1547477119060062</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Clustering ; Coefficients ; Collision dynamics ; Elementary particles ; Leptons ; Methods of Physical Experiment ; Parameters ; Particle and Nuclear Physics ; Physics ; Physics and Astronomy ; Resonance ; Scaling ; Standard model (particle physics) ; Symmetry ; Transverse momentum ; Visibility</subject><ispartof>Physics of particles and nuclei letters, 2019-11, Vol.16 (6), p.779-788</ispartof><rights>Pleiades Publishing, Ltd. 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833</citedby><cites>FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Bhaduri, S.</creatorcontrib><creatorcontrib>Bhaduri, A.</creatorcontrib><creatorcontrib>Ghosh, D.</creatorcontrib><title>Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision</title><title>Physics of particles and nuclei letters</title><addtitle>Phys. Part. Nuclei Lett</addtitle><description>Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated scaling parameter extracted with the complex network based technique of Visibility Graph. We have analyzed the data of Pb–Pb collision data sample at 2.76 TeV from ALICE Collaboration and analyzed different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. This is a chaos-based complex network technique where simple parameters like Average Clustering Coefficient and Power of Scale-freeness of Visibility Graph (PSVG) may hint at formation of some exotic or unusual resonance states without using conventional methods. From this experiment we may infer that highest range of Average clustering coefficient, might be the resonance states/clusters from where the hadronic decay might have occurred and few clusters with highest value of this parameter may indicate that those clusters may be the ancestors of some strange particles. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell–Yan processes is immensely important as these processes enable us to validate the Standard Model-SM predictions for the fundamental particles interaction at the new energy region and also to probe for new physics beyond SM. Hence we have applied the same methodology and extracted the same parameters for p – p collision data at 8 TeV from CMS, to detect possible resonance states eventually generating lepton pairs.</description><subject>Clustering</subject><subject>Coefficients</subject><subject>Collision dynamics</subject><subject>Elementary particles</subject><subject>Leptons</subject><subject>Methods of Physical Experiment</subject><subject>Parameters</subject><subject>Particle and Nuclear Physics</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Resonance</subject><subject>Scaling</subject><subject>Standard model (particle physics)</subject><subject>Symmetry</subject><subject>Transverse momentum</subject><subject>Visibility</subject><issn>1547-4771</issn><issn>1531-8567</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1UMtOwzAQtBBIlMIHcLPEOWDHj8THUhWKVMEhcI4cx0lTEjvYRjR_j6sicUCcZqSdmd0dAK4xusWY0LsCM5rRLMNYII4QT0_ADDOCk5zx7PTAaZYc5ufgwvsdQpQQRGZgV0zDoIObkkLJvjMtvJde13Bph7HXe_isw5d173Axjs5KtYXBwtV-7K3TEW3oFFzL2lkTSRFk0B52Bq67dpusjHbtFJP6vvOdNZfgrJG911c_OAdvD6vX5TrZvDw-LRebRBHMQ5LLijOthKA5p2nFK1alTDU5rbIKSSYaoYRMGcmbGjHeNEJKIjmpkcQ0egiZg5tjbrz441P7UO7spzNxZZnGpymjjImowkeVctZ7p5tydN0g3VRiVB4qLf9UGj3p0eOj1rTa_Sb_b_oGUvV4UQ</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Bhaduri, S.</creator><creator>Bhaduri, A.</creator><creator>Ghosh, D.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20191101</creationdate><title>Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision</title><author>Bhaduri, S. ; Bhaduri, A. ; Ghosh, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Clustering</topic><topic>Coefficients</topic><topic>Collision dynamics</topic><topic>Elementary particles</topic><topic>Leptons</topic><topic>Methods of Physical Experiment</topic><topic>Parameters</topic><topic>Particle and Nuclear Physics</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Resonance</topic><topic>Scaling</topic><topic>Standard model (particle physics)</topic><topic>Symmetry</topic><topic>Transverse momentum</topic><topic>Visibility</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhaduri, S.</creatorcontrib><creatorcontrib>Bhaduri, A.</creatorcontrib><creatorcontrib>Ghosh, D.</creatorcontrib><collection>CrossRef</collection><jtitle>Physics of particles and nuclei letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhaduri, S.</au><au>Bhaduri, A.</au><au>Ghosh, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision</atitle><jtitle>Physics of particles and nuclei letters</jtitle><stitle>Phys. Part. Nuclei Lett</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>16</volume><issue>6</issue><spage>779</spage><epage>788</epage><pages>779-788</pages><issn>1547-4771</issn><eissn>1531-8567</eissn><abstract>Conventionally invariant mass or transverse momentum techniques have been used to probe for any formation of some exotic or unusual resonance states in high energy collision. In this work, we have applied symmetry scaling based complex network approach to study exotic resonance/hadronic states utilizing the clustering coefficients and associated scaling parameter extracted with the complex network based technique of Visibility Graph. We have analyzed the data of Pb–Pb collision data sample at 2.76 TeV from ALICE Collaboration and analyzed different patterns of symmetry scaling, scale-freeness, correlation and clustering among the produced particles. This is a chaos-based complex network technique where simple parameters like Average Clustering Coefficient and Power of Scale-freeness of Visibility Graph (PSVG) may hint at formation of some exotic or unusual resonance states without using conventional methods. From this experiment we may infer that highest range of Average clustering coefficient, might be the resonance states/clusters from where the hadronic decay might have occurred and few clusters with highest value of this parameter may indicate that those clusters may be the ancestors of some strange particles. There have also been extensive study of dilepton production since the study of lepton pair generation in Drell–Yan processes is immensely important as these processes enable us to validate the Standard Model-SM predictions for the fundamental particles interaction at the new energy region and also to probe for new physics beyond SM. Hence we have applied the same methodology and extracted the same parameters for p – p collision data at 8 TeV from CMS, to detect possible resonance states eventually generating lepton pairs.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1547477119060062</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1547-4771
ispartof Physics of particles and nuclei letters, 2019-11, Vol.16 (6), p.779-788
issn 1547-4771
1531-8567
language eng
recordid cdi_proquest_journals_2330454559
source Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List
subjects Clustering
Coefficients
Collision dynamics
Elementary particles
Leptons
Methods of Physical Experiment
Parameters
Particle and Nuclear Physics
Physics
Physics and Astronomy
Resonance
Scaling
Standard model (particle physics)
Symmetry
Transverse momentum
Visibility
title Symmetry-Scaling Based Complex Network Approach to Explore Exotic Hadronic States in High-Energy Collision
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T07%3A44%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Symmetry-Scaling%20Based%20Complex%20Network%20Approach%20to%20Explore%20Exotic%20Hadronic%20States%20in%20High-Energy%20Collision&rft.jtitle=Physics%20of%20particles%20and%20nuclei%20letters&rft.au=Bhaduri,%20S.&rft.date=2019-11-01&rft.volume=16&rft.issue=6&rft.spage=779&rft.epage=788&rft.pages=779-788&rft.issn=1547-4771&rft.eissn=1531-8567&rft_id=info:doi/10.1134/S1547477119060062&rft_dat=%3Cproquest_cross%3E2330454559%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-8ab65ec9948642b6b5b25cf84b7b0a59f9c9a2538fd056ff9aa3a63d0a1494833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2330454559&rft_id=info:pmid/&rfr_iscdi=true