Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data

Author:

Huang Yi1ORCID,Ren Yihui1ORCID,Yoo Shinjae2ORCID,Huang Jin3ORCID

Affiliation:

1. Computational Science Initiative, Brookhaven National Laboratory, USA

2. Computational Science Initiative, Brookhaven National Laboratory, United States of America

3. Physics Department, Brookhaven National Laboratory, United States of America

Funder

U.S. DOE Office of Science

Publisher

ACM

Reference20 articles.

1. Science Requirements and Detector Concepts for the Electron-Ion Collider

2. Multilevel Techniques for Compression and Reduction of Scientific Data---The Multivariate Case

3. Yasir Alanazi , Nobuo Sato , Tianbo Liu , W Melnitchouk , Michelle  P Kuchera , Evan Pritchard , Michael Robertson , Ryan Strauss , Luisa Velasco , and Yaohang Li. 2020. Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). arXiv preprint arXiv:2001.11103 ( 2020 ). Yasir Alanazi, Nobuo Sato, Tianbo Liu, W Melnitchouk, Michelle P Kuchera, Evan Pritchard, Michael Robertson, Ryan Strauss, Luisa Velasco, and Yaohang Li. 2020. Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). arXiv preprint arXiv:2001.11103 (2020).

4. Recent developments in Geant4

5. Scientific computing plan for the ECCE detector at the Electron Ion Collider

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