Tim Janssen
Radboud University Nijmegen
9 Papers
76 Citations
Tim Janssen is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Renormalization & Pauli–Villars regularization. The author has an hindex of 3, co-authored 5 publications.
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Papers
Towards NNLL resummation: hard matching coefficients for squark and gluino hadroproduction
Wim Beenakker,Tim Janssen,Susanne Lepoeter,Michael Kramer,Anna Kulesza,Eric Laenen,Eric Laenen,Irene Niessen,Silja Thewes,Tom van Daal +9 more
TL;DR: In this paper, the authors present the hard matching coefficients for squark and gluino hadroproduction, which follow from the next-to-leading order cross-section near threshold and are an important ingredient for performing threshold resummation at nextto-next-to leading logarithmic accuracy.
Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks
Jan-Jurre Mordang,Tim Janssen,Alessandro Bria,Thijs Kooi,Albert Gubern-Mérida,Nico Karssemeijer +5 more
- 19 Jun 2016
TL;DR: This was the first study to use a deep learning strategy for the detection of microcalcifications in mammograms, and significantly higher mean sensitivities were obtained with the CNN on the mammograms of each individual manufacturer compared to the cascade classifier.
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Towards NNLL resummation: hard matching coefficients for squark and gluino hadroproduction
Wim Beenakker,Tim Janssen,S. Lepoeter,Michael Kramer,Anna Kulesza,Eric Laenen,Irene Niessen,Silja Thewes,T. Van Daal +8 more
TL;DR: In this paper, the authors present the hard matching coefficients for squark and gluino hadroproduction, which follow from the next-to-leading order cross-section near threshold and are an important ingredient for performing threshold resummation at nextto-next-to leading logarithmic accuracy.
Ambiguities in Pauli-Villars regularization
Ronald Kleiss,Tim Janssen +1 more
TL;DR: In this paper, the authors investigate regularization of scalar one-loop integrals in the Pauli-Villars subtraction scheme, and show that the results depend on the number of subtractions, in particular the finite terms that survive after the divergences have been absorbed by renormalization.
Silicon-substrate-induced enhancement of infrared light absorption for all-optical magnetic switching
TL;DR: In this article , the authors explore how silicon substrates can be exploited to improve optical absorption in the mid-to far-infrared spectral ranges, thus reducing the energy requirement for all-optical switching of magnetization.