![signal obtained from ALICE detector data of LHC by Machine Learning](https://static.wixstatic.com/media/2cb67a_096e118191b4439ca84b5d47881cf5b9~mv2_d_4725_3817_s_4_2.jpg/v1/fill/w_816,h_659,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/bdt_real_eps.jpg)
December 2018
Machine Learning Applications in High Energy Physics
The project aimed to use Supervised Machine Learning for classification of signal and background candidates of resonance particles produced in high energy collisions at the
Large Hadron Collider (LHC), CERN.
The goal was to improve the signal significance of these particles.
Toolkit for Multivariate Analysis(TMVA) was used to implement Boosted Decision
Trees(BDT) classifier in ROOT(a C++ based object-oriented software) for training, testing
and application phase of Machine Learning.
The project resulted in a better significance value by Machine Learning approach as compared to the traditional approach for Monte-Carlo generated data and well as real data obtained from the ALICE detector at the LHC, CERN.
![The Machine Learning Process:](https://static.wixstatic.com/media/2cb67a_ff6fe336d72e4dc589da5a16ebdfa848~mv2.jpg/v1/fill/w_980,h_563,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/2cb67a_ff6fe336d72e4dc589da5a16ebdfa848~mv2.jpg)
Training, Testing and Application phase
![Features:](https://static.wixstatic.com/media/2cb67a_51ef8f346dc649a498711185a05f6531~mv2_d_4725_2433_s_4_2.jpg/v1/fill/w_980,h_505,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/2cb67a_51ef8f346dc649a498711185a05f6531~mv2_d_4725_2433_s_4_2.jpg)
Input features distribution for signal and background candidates.
![Signal:](https://static.wixstatic.com/media/2cb67a_096e118191b4439ca84b5d47881cf5b9~mv2_d_4725_3817_s_4_2.jpg/v1/fill/w_980,h_792,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/2cb67a_096e118191b4439ca84b5d47881cf5b9~mv2_d_4725_3817_s_4_2.jpg)
Signal obtained by Machine Learning Classification of ALICE data
![The Machine Learning Process:](https://static.wixstatic.com/media/2cb67a_ff6fe336d72e4dc589da5a16ebdfa848~mv2.jpg/v1/fill/w_980,h_563,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/2cb67a_ff6fe336d72e4dc589da5a16ebdfa848~mv2.jpg)
Training, Testing and Application phase
![](https://static.wixstatic.com/media/2cb67a_71495ebabc2343b4b2ce7b149dfccb74~mv2.jpg/v1/fill/w_804,h_452,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/2cb67a_71495ebabc2343b4b2ce7b149dfccb74~mv2.jpg)