KARAKTERISASI INTERAKSI WIMP-QUARKS DI LHC DENGAN MENGGUNAKAN DEEP LEARNING

Authors

  • Reinard Primulando Universitas Katolik Parahyangan

Keywords:

Materi gelap, WIMP, LHC, deep learning

Abstract

Materi gelap merupakan salah satu komponen terbesar dari isi alam semesta yang kita tidak ketahui interaksinya. Large Hadron Collider (LHC) merupakan laboratorium yang dapat digunakan untuk mencari materi gelap terutama dalam bentuk Weakly Interacting Massive Particles (WIMP). Untuk mencari sifat interaksi dari materi gelap, jika ditemukan pada LHC, maka channel sepasang lepton dan missing energy dapat diguanakan. Penelitian ini dilakukan untuk mencari cara untuk membedakan interaksi dari WIMP dengan menggunakan deep feedforward networks. Dengan cara ini didapat akurasi 62,41% dalam membedakan jenis interaksi V+A dan V-A.

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Published

2021-10-01