Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1501
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKrishna R, Asrith.-
dc.contributor.authorJena, Satyajit-
dc.date.accessioned2021-12-07T21:20:57Z-
dc.date.available2021-12-07T21:20:57Z-
dc.date.issued2021-07-28-
dc.identifier.urihttp://hdl.handle.net/123456789/1501-
dc.description.abstractHeavy-ion collision experiments at the Large Hadron Collider (LHC) and Relativistic Heavy Ion Collider (RHIC) created a deconfined state of quarks and gluons called Quark-Gluon Plasma (QGP). Fluctuation in initial energy density in the system may lead to local tem- perature fluctuation. Hence, a good understanding of such thermodynamical quantities is essential as they give us a vital insight into the QGP. We are developing techniques based on wavelet analysis and machine learning to tap into such fluctuations. We divide the en- tire phase space into equally spaced bins and calculate each bin’s temperature using Tsallis statistical framework. We then apply the wavelet analysis technique on phase space bins to detect the temperature distribution anomaly.en_US
dc.language.isoen_USen_US
dc.publisherIISERMen_US
dc.subjectTemperatureen_US
dc.subjectIonen_US
dc.subjectwaveleten_US
dc.titleEstimation of temperature fluctuations in heavy ion collision using wavelet analysisen_US
dc.typeThesisen_US
Appears in Collections:MS-16

Files in This Item:
File Description SizeFormat 
MS16033.docx11.84 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.