1.
|
Study on anomalous behavior of light and heavy flavors with event topology and multiplicity in pp Collisions at the LHC energies
/ Deb, Suman (Indian Inst. Tech., Indore) ; Thakur, Dhananjaya (Lanzhou, Inst. Modern Phys.) ; Tripathy, Sushanta (INFN, Bologna) ; Khuntia, Arvind (Cracow, INP) ; Sahoo, Raghunath (Indian Inst. Tech., Indore ; CERN)
2022 - 2 p.
- Published in : (2022) , pp. 674-675
Fulltext: PDF;
In : 65th DAE BRNS Symposium on nuclear physics, Mumbai, India, 1 - 5 Dec 2021, pp.674-675
|
|
2.
|
Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC
/ Mishra, Aditya Nath (Wigner RCP, Budapest) ; Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (INFN, Bologna) ; Deb, Suman (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore ; CERN)
Machine learning techniques have been quite popular recently in the high-energy physics community and have led to numerous developments in this field. In heavy-ion collisions, one of the crucial observables, the impact parameter, plays an important role in the final-state particle production. [...]
arXiv:2110.04026.-
2021-11-17 - 5 p.
- Published in : PoS: LHCP2021 (2021) , pp. 265
Fulltext: 2110.04026 - PDF; document - PDF;
In : 9th Annual Large Hadron Collider Physics (LHCP 2021), Online, GB, 7 - 12 Jun 2021, pp.265
|
|
3.
|
Multiplicity Dependence of Non-extensive Parameters for Strange and Multi-Strange Particles in Proton-Proton Collisions at $\sqrt{s}= 7$ TeV at the LHC
/ Khuntia, Arvind (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore) ; Cleymans, Jean (UCT-CERN Res. Ctr. ; Cape Town U.)
The transverse momentum ($p_{\rm T}$) spectra in proton-proton collisions at $\sqrt{s}$ = 7 TeV, measured by the ALICE experiment at the LHC are analyzed with a thermodynamically consistent Tsallis distribution. The information about the freeze-out surface in terms of freeze-out volume, temperature and the non-extenisivity parameter, $q$, for $K^{0}_{S}$, $\Lambda+\bar{\Lambda}$, $\Xi^{-}+\bar{\Xi}^{+}$ and $\Omega^{-}+\bar{\Omega}^{+}$ are extracted by fitting the $p_{\rm T}$ spectra with Tsallis distribution function. [...]
arXiv:1702.06885.-
2017-02-22 - 7 p.
- Published in : Eur. Phys. J. A 53 (2017) 103
Preprint: PDF;
|
|
4.
|
Estimation of impact parameter and transverse spherocity in heavy-ion collisions at the LHC using machine learning techniques
/ Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (INFN, Bologna) ; Mishra, Aditya Nath (Wigner RCP, Budapest) ; Deb, Suman (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore ; CERN)
The studies related to heavy-ion collisions at the Large Hadron Collider (LHC) at CERN, Switzerland and Relativistic Heavy Ion Collider (RHIC) at BNL, USA have revealed the formation of a dense and hot, deconfined state of matter known as the quark-gluon plasma (QGP). Presently, machine learning (ML) techniques are being used widely in the field of high energy physics (HEP) as well as other frontiers of science [...]
2022 - 2 p.
- Published in : (2022) , pp. 642-643
Fulltext: PDF;
In : 65th DAE BRNS Symposium on nuclear physics, Mumbai, India, 1 - 5 Dec 2021, pp.642-643
|
|
5.
|
|
6.
|
Pseudorapidity and transverse spherocity dependence of particle production in proton+proton collisions at the LHC
/ R, Aswathy Menon K (Indian Inst. Tech., Indore) ; Prasad, Suraj (Indian Inst. Tech., Indore) ; Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (CERN) ; Sahoo, Raghunath (Indian Inst. Tech., Indore)
Recent observations of strangeness enhancement, ridge-like structure and radial flow behaviour at the LHC indicate the formation of QGP-droplets in high multiplicity proton+proton (pp) collisions. While the applicability of hydrodynamics in high multiplicity pp collisions is still under investigation, certain perturbative QCD (pQCD) inspired models such as PYTHIA can imitate radial flow-like effects by implementing color reconnection (CR) with multi-partonic interactions (MPI)..
2024 - 2 p.
- Published in : DAE Symp. Nucl. Phys.: 67 (2024) , pp. 1029-1030
Fulltext: PDF; External link: Fulltext
In : 67th DAE Symposium on Nuclear Physics (DAE NPSYMP 2023), Indore, Madhya Pradesh, India, 9 - 23 Dec 2023
|
|
7.
|
|
8.
|
A review on event shape studies in ultra-relativistic collisions at the LHC energies
/ Tripathy, Sushanta (Bogoroditsk Tech. Chem. Plant ; CERN ; Minsk, Inst. Nucl. Problems) ; Prasad, Suraj (Indian Inst. Tech., Indore) ; Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Sahoo, Bhagyarathi (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore)
Recent measurements of high multiplicity pp collisions at LHC energies have revealed that these systems exhibit features similar to quark-gluon plasma, such as the presence of radial and elliptic flow and strangeness enhancement, traditionally believed to be only achievable in ultra-relativistic nucleus-nucleus collisions [1]. To pinpoint the origin of these phenomena and to bring all collision systems in equal footings, along with charged-particle multiplicity (Nch), lately several event shape observables such as transverse spherocity (S0), transverse sphericity (ST), charged particle flattenicity (ρch), and relative transverse activity classifiers such as RT, Rmin T , and Rmax T has been used extensively in experiments as well as in the phenomenological front. [...]
2024 - 2 p.
- Published in : DAE Symp. Nucl. Phys.: 67 (2024) , pp. 1135-1136
Fulltext: PDF; External link: Fulltext
In : 67th DAE Symposium on Nuclear Physics (DAE NPSYMP 2023), Indore, Madhya Pradesh, India, 9 - 23 Dec 2023
|
|
9.
|
Estimation of Impact Parameter and Transverse Spherocity in heavy-ion collisions at the LHC energies using Machine Learning
/ Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (INFN, Bologna) ; Mishra, Aditya Nath (Wigner RCP, Budapest) ; Deb, Suman (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore ; CERN)
Recently, machine learning (ML) techniques have led to a range of numerous developments in the field of nuclear and high-energy physics. In heavy-ion collisions, the impact parameter of a collision is one of the crucial observables which has a significant impact on the final state particle production. [...]
arXiv:2103.01736.-
2021-05-26 - 12 p.
- Published in : Phys. Rev. D 103 (2021) 094031
Article from SCOAP3: PDF; Fulltext: PDF;
|
|
10.
|
|
|
Investigating radial-flow-like effects via pseudorapidity and transverse spherocity dependence of particle production in pp collisions at the LHC
/ R, Aswathy Menon K. (Indian Inst. Tech., Indore) ; Prasad, Suraj (Indian Inst. Tech., Indore) ; Tripathy, Sushanta (CERN) ; Mallick, Neelkamal (Indian Inst. Tech., Indore) ; Sahoo, Raghunath (Indian Inst. Tech., Indore)
Recent observations of quark-gluon plasma (QGP) like signatures in high multiplicity proton-proton (pp) collisions, have compelled the heavy-ion physics community to re-examine the pp collisions for proper baseline studies. [...]
arXiv:2309.08336.
-
12 p.
Fulltext
|
|