Neural　network　for　mass　reconstruction　of　resonance　particle　with　missing　energy

ＮｅｕｒａｌｎｅｔｗｏｒｋｆｏｒｍａｓｓｒｅｃｏｎｓｔｒｕｃｔｉｏｎｏｆｒｅｓｏｎａｎｃｅｐａｒｔｉｃｌｅｗｉｔｈｍｉｓｓｉｎｇｅｎｅｒｇｙＺｈａｎｇＺｉ－Ｐｉｎｇ（张子平）（ＤｅｐａｒｔｍｅｎｔｏｆＭｏｄｅｒｎＰｈｙｓｉｃｓ，Ｕｎｉｖｅｒｓｉｔｙｏ...

Neural Network can be designed to reconstruct the mass of resonance particle with large missing energy. Taking the Higgs particle search through decaying channel H°→τ+τ-→eμx and H°→W+W- (ZZ)→ llvv at LHC collider (=16 TeV) as examples,neural network correctly reconstructs its mass with right peak position and better width than conventional method. The network also possesses the capability of suppressing background events. This kind of neural network can be widely used in new particle search and precise mass measurement of resonance particle.