Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/10320
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Sahoo, Raghunath | - |
| dc.contributor.author | Jogi, Bhavin | - |
| dc.date.accessioned | 2022-06-14T11:02:59Z | - |
| dc.date.available | 2022-06-14T11:02:59Z | - |
| dc.date.issued | 2022-06-07 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/10320 | - |
| dc.description.abstract | NA | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Physics, IIT Indore | en_US |
| dc.relation.ispartofseries | MS314 | - |
| dc.subject | Physics | en_US |
| dc.title | Looking into elliptic flow in heavy-ion collisions at LHC energies using deep neural network | en_US |
| dc.type | Thesis_M.Sc | en_US |
| Appears in Collections: | Department of Physics_ETD | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| MS_314_Bhavin_Anilbhai_Jogi_2003151008.pdf | 8.39 MB | Adobe PDF | View/Open |
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