Author

Mallick, Neelkamal

INSPIRE profile1821891 ORCID0000-0003-2706-1025

2 papers·439 citations in this corpus

	Paper	Category
Oct 11, 2021#92110.04026	Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC Aditya Nath Mishra🇭🇺 · Neelkamal Mallick🇮🇳 · Sushanta Tripathy🇮🇹 · Suman Deb🇮🇳 · Raghunath Sahoo🇮🇳	↳ hep-ph	PoS	0
Oct 11, 2021#102110.04098	Transverse spherocity dependence of azimuthal anisotropy in heavy-ion collisions at the LHC using a multi-phase transport model Neelkamal Mallick🇮🇳 · Raghunath Sahoo🇮🇳 · Sushanta Tripathy🇮🇹 · Antonio Ortiz🇲🇽	↳ hep-ph	PoS	1

Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC
Aditya Nath Mishra🇭🇺 · Neelkamal Mallick🇮🇳 · Sushanta Tripathy🇮🇹 · Suman Deb🇮🇳 · Raghunath Sahoo🇮🇳
Oct 11, 2021#9↳ hep-phPoS0 citations
Transverse spherocity dependence of azimuthal anisotropy in heavy-ion collisions at the LHC using a multi-phase transport model
Neelkamal Mallick🇮🇳 · Raghunath Sahoo🇮🇳 · Sushanta Tripathy🇮🇹 · Antonio Ortiz🇲🇽
Oct 11, 2021#10↳ hep-phPoS1 citation

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Mallick, Neelkamal

Implementation of machine learning techniques to predict impact parameter and transverse spherocity in heavy-ion collisions at the LHC

Transverse spherocity dependence of azimuthal anisotropy in heavy-ion collisions at the LHC using a multi-phase transport model