Tootfinder

Software Compensation for Highly Granular Calorimeters using Machine Learning
S. Lai, J. Utehs, A. Wilhahn, O. Bach, E. Brianne, A. Ebrahimi, K. Gadow, P. G\"ottlicher, O. Hartbrich, D. Heuchel, A. Irles, K. Kr\"uger, J. Kvasnicka, S. Lu, C. Neub\"user, A. Provenza, M. Reinecke, F. Sefkow, S. Schuwalow, M. De Silva, Y. Sudo, H. L. Tran, E. Buhmann, E. Garutti, S. Huck, G. Kasieczka, S. Martens, J. Rolph, J. Wellhausen, G. C. Blazey, A. Dyshkant, K. Francis, V. Zutshi, B.…

Software Compensation for Highly Granular Calorimeters using Machine Learning
A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is expected to improve sensitivity to shower development and the neutron fraction of the hadron shower. The neural network method produced a depth-dependent energy weighting and a time-dependent threshold for enhancing energy deposits consistent with the timescale…

SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data
Ajit J. Nirmal, Peter K. Sorger
https://arxiv.org/abs/2405.02076 https…

SCIMAP: A Python Toolkit for Integrated Spatial Analysis of Multiplexed Imaging Data
Multiplexed imaging data are revolutionizing our understanding of the composition and organization of tissues and tumors. A critical aspect of such tissue profiling is quantifying the spatial relationship relationships among cells at different scales from the interaction of neighboring cells to recurrent communities of cells of multiple types. This often involves statistical analysis of 10^7 or more cells in which up to 100 biomolecules (commonly proteins) have been measured. While software too…

This year's @… roadmap is a little different from our usual fare, because this year we're starting to work with a whole new spatial computing platform!
We love pushing technology forward, with apps ready on day one. We've already shipped OmniPlan for Apple Vision Pro, and today OmniFocus 4.1 enters TestFlight, joining OmniPlan on Appl…

“Apple is not, and never has been, beyond reproach—and that is true for accessibility. But as a lifelong disabled person, I’m here to say it matters a whole lot to see the company who makes some of the world’s most popular consumer goods accessible to disabled people.”
From @…:

The first cut is the cheapest: optimizing Athena/X-IFU-like TES detectors resolution by filter truncation
M. Teresa Ceballos, Nicol\'as Cardiel, Beatriz Cobo, Stephen J. Smith, Michael C. Witthoeft, Philippe Peille, Malcolm S. Durkin
https://arxiv.org/abs/2403.16965

The first cut is the cheapest: optimizing Athena/X-IFU-like TES detectors resolution by filter truncation
The X-ray Integral Field Unit (X-IFU) instrument on the future ESA mission Athena X-ray Observatory is a cryogenic micro-calorimeter array of Transition Edge Sensor (TES) detectors designed to provide spatially-resolved high-resolution spectroscopy. The onboard reconstruction software provides energy, spatial location and arrival time of incoming X-ray photons hitting the detector. A new processing algorithm based on a truncation of the classical optimal filter and called 0-padding, has been re…

Functionality Locality, Mixture & Control = Logic = Memory
Xiangjun Peng
https://arxiv.org/abs/2404.11721 https://arxiv.org/pdf/2…

Functionality Locality, Mixture & Control = Logic = Memory
This work provides new insights and constructs to the field of computer architecture and systems, and these insights are expected to be useful for the broad software stack. First, this work introduces Functionality Locality: this form of Functionality Locality shows that functionalities can be changed with a single piece of information, by solely changing the access order. This broadens the scope of ``principle of locality", which originally includes spatial and temporal locality. Second, this …