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M. Sachdeva

Publications and source records attributed to M. Sachdeva.

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Recent test beam results of ATLAS ITk Pixel sensors and modules

Test beam studies of ITk pixel sensors and full modules are an essential tool for assessing their performance and operational behavior. In the 2025 test beam campaigns, quad and triplet modules equipped with both pre-production and production readout chips were evaluated. For the first time, triplet modules were tested in beam conditions, both before and after irradiation. Measurements were performed at multiple incident angles to study charge-collection efficiency under conditions representative of actual detector operation. The 2025 test beam dataset contains several important new elements, enabling further progress toward the full qualification of ITk pixel modules. This work presents an overview of the ITk pixel test beam program including recent triplet module results from the 2025 campaigns.

physics.ins-det

A Design Space for Explainable Ranking and Ranking Models

Item ranking systems support users in multi-criteria decision-making tasks. Users need to trust rankings and ranking algorithms to reflect user preferences nicely while avoiding systematic errors and biases. However, today only few approaches help end users, model developers, and analysts to explain rankings. We report on the study of explanation approaches from the perspectives of recommender systems, explainable AI, and visualization research and propose the first cross-domain design space for explainers of item rankings. In addition, we leverage the descriptive power of the design space to characterize a) existing explainers and b) three main user groups involved in ranking explanation tasks. The generative power of the design space is a means for future designers and developers to create more target-oriented solutions in this only weakly exploited space.

cs.LG