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A. Hanlon

Publications and source records attributed to A. Hanlon.

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Test-beam results from MiniCACTUS-v2: A depleted monolithic CMOS timing sensor prototype

MiniCACTUS-v2 is a monolithic sensor prototype designed in LF 150 nm CMOS process for time tagging of individual Minimum Ionizing Particles with an accuracy better than 100 ps. The sensing element is a deep n-well/p-substrate diode without internal amplification. To minimize detector capacitances, the analog front-ends and the discriminators for each pixel have been implemented outside the pixel, at the column level. After fabrication, the sensors have been thinned to 150 microns, 175 microns and 200 microns and then post-processed for backside biasing. The breakdown voltages measured on these sensors are higher than 500 V, ensuring the complete depletion of the charge collection volume. In this paper, we will focus on the time resolution measurements from a test-beam campaign conducted in July 2025 at SPS-CERN. During this period, several pixels from the 3 different sensor thicknesses have been tested at different bias voltages. The best time resolution measured is 48.88 ps on a 0.5 mm x 0.5 mm pixel from a 175 microns-thick sensor at 500 V, with nominal settings for the on-chip analog front-end and discriminator.

physics.ins-det

Using Exascale Computing to Explain the Delicate Balance of Nuclear Forces in the Universe

The vast majority of visible matter in our universe comes from protons and neutrons (the nucleons). Nucleon interactions are fundamental to how the universe developed after the Big Bang and govern all nuclear phenomena. The subtle balance in how two nucleons interact shapes the universe's hydrogen content that is central to our existence. Our objective is to compute the interaction strength while varying the parameters of nature to understand how delicate this balance is. We developed a new code using sophisticated physics algorithms and a highly optimized library for simulations on CPU-GPU parallel architectures. It has excellent weak scaling and impressive linear scaling for a fixed problem size with increasing number of nodes up to El Capitan's full $\sim$11,000 nodes. On Alps, El Capitan, Frontier, Jupiter, and Perlmutter supercomputers we achieve a maximum disruptive speed-up of $\sim$240 times the previous state-of-the-art, signaling a new era of supercomputing.

hep-lat