Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml
Authors:
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Publication Date:
NSF-PAR ID:
10204250
Journal Name:
Machine Learning: Science and Technology
Volume:
2
Issue:
1
Page Range or eLocation-ID:
Article No. 015001
ISSN:
2632-2153
Publisher:
IOP Publishing
1. ABSTRACT We investigate the redshift evolution of the intrinsic alignments (IAs) of galaxies in the MassiveBlackII (MBII) simulation. We select galaxy samples above fixed subhalo mass cuts ($M_h\gt 10^{11,12,13}\,\mathrm{M}_{\odot }\, h^{-1}$) at z = 0.6 and trace their progenitors to z = 3 along their merger trees. Dark matter components of z = 0.6 galaxies are more spherical than their progenitors while stellar matter components tend to be less spherical than their progenitors. The distribution of the galaxy–subhalo misalignment angle peaks at ∼10 deg with a mild increase with time. The evolution of the ellipticity–direction (ED) correlation amplitude ω(r) of galaxies (which quantifies the tendency ofmore »