TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhys.18.3.088
TI  - CaloDREAM – Detector response emulation via attentive flow matching
PY  - 2025/03/11
UR  - https://scipost.org/SciPostPhys.18.3.088
JF  - SciPost Physics
JA  - SciPost Phys.
VL  - 18
IS  - 3
SP  - 088
A1  - Favaro, Luigi
AU  - Ore, Ayodele
AU  - Palacios Schweitzer, Sofia
AU  - Plehn, Tilman
AB  - Detector simulations are an exciting application of modern generative networks. Their sparse high-dimensional data combined with the required precision poses a serious challenge. We show how combining Conditional Flow Matching with transformer elements allows us to simulate the detector phase space reliably. Namely, we use an autoregressive transformer to simulate the energy of each layer, and a vision transformer for the high-dimensional voxel distributions. We show how dimension reduction via latent diffusion allows us to train more efficiently and how diffusion networks can be evaluated faster with bespoke solvers. We showcase our framework, CaloDREAM, on datasets 2 and 3 of the CaloChallenge.
ER  -

@Article{10.21468/SciPostPhys.18.3.088,
	title={{CaloDREAM – Detector response emulation via attentive flow matching}},
	author={Luigi Favaro and Ayodele Ore and Sofia Palacios Schweitzer and Tilman Plehn},
	journal={SciPost Phys.},
	volume={18},
	pages={088},
	year={2025},
	publisher={SciPost},
	doi={10.21468/SciPostPhys.18.3.088},
	url={https://scipost.org/10.21468/SciPostPhys.18.3.088},
}