activity
19952022
most citedObservation of and updated measurement of at Belle

40 citations · 177 across the 14 of their papers we have counts for

collaborators

14 papers

physics.ins-det2022

New approaches to particle induced prompt gamma imaging

Mythra Varun Nemallapudi, Atiq Ur Rahman, Vanny Marantha Sihotang +6

The distribution of the prompt gamma emissions induced by proton interactions in a target material carries information concerning the proton range and target composition. In order…

physics.ins-det2022★ 12 cited

Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach

Atiq. Ur. Rahman, Mythra Varun. Nemallapudi, Cheng-Ying. Chou +2

. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary…

hep-ex2017★ 40 cited

Observation of and updated measurement of at Belle

Belle Collaboration, Y. B. Li, C. P. Shen +178

We report the first observation of the charmed-strange baryon with a significance greater than 5. The is found in its decay to in $…

hep-ex2012★ 12 cited

Search for charged massive long-lived particles at sqrt(s)= 1.96 TeV

D0 Collaboration

We present a search for charged massive long-lived particles (CMLLPs) that are pair produced in p-pbar collisions at sqrt(s)= 1.96 TeV collected by the D0 experiment at the Fermila…

hep-ex2011

Continuous simulation of hypothetical physics processes with multiple free parameters

Jiahang Zhong, Run-Sheng Huang, Shih-Chang Lee

We propose a new approach to simulate hypothetical physics processes which are defined by multiple free parameters. Compared to the conventional grid-scan approach, the new method…

physics.data-an2011★ 19 cited

A program for the Bayesian Neural Network in the ROOT framework

Jiahang Zhong, Run-Sheng Huang, Shih-Chang Lee

We present a Bayesian Neural Network algorithm implemented in the TMVA package, within the ROOT framework. Comparing to the conventional utilization of Neural Network as discrimina…