Applying the neural network based models in the top pair production at LHC (Record no. 41496)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00872nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 539.72 |
| Author Mark | ANW |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Anwar Zada (434) |
| 245 ## - TITLE STATEMENT | |
| Title | Applying the neural network based models in the top pair production at LHC |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Islamabad |
| Name of publisher | (unpublished) |
| Date of publication | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 64 p. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| Illustrations | : ill. |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Physics to the Department of Basic Sciences. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographical references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis supervisor: Dr. Ijaz Ahmed |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Phil)--Riphah International University, 2021 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Physics |
| Keywords | Large hadron collider |
| -- | Top-Quark physics |
| -- | DeepTop tagging |
| -- | Artificial intelligence |
| -- | Neural networks |
| -- | Deep learning |
| -- | LHC |
| -- | DBS |
| -- | FEAS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Source of acquisition | Full call number | Barcode | Copy number | Koha item type |
|---|---|---|---|---|---|---|---|
| NOT for LOAN | Main Campus | Main Campus | Riphah International University | 539.72 ANW | 68390 | 1 | Thesis |