158 research outputs found
Monte-Carlo method based simulation framework for microwave SQUID multiplexers
Performance prediction and optimization of microwave SQUID multiplexers has
largely been based on simple approximate analytical models and experimental
results so far. This results from the complexity of the underlying physics and
the intricacy of operation and readout parameters. As a simplified description
can never account for all potential effects occurring in a real device, we have
developed a Monte-Carlo based simulation framework to simulate the
characteristic and performance of a microwave SQUID multiplexer. Our simulation
framework is a powerful tool to aid understanding and optimization of microwave
SQUID multiplexers and other related devices. It includes common readout
schemes such as open-loop or flux ramp modulated readout as well as the
nonlinear behaviour of Josephson tunnel junctions. Moreover, it accounts for
the finite response time of superconducting microwave resonators with high
loaded quality factors as well as the most significant noise contributions such
as amplifier noise, resonator noise as well as SQUID noise. This ultimately
leads to a prediction of device performance that is significantly better as
compared simple analytical methods. Using the simulation framework, we discuss
first steps towards a full microwave SQUID multiplexer optimization and
highlight some other applications which our simulation framework can be used
for.Comment: This article has been submitted to Superconductor Science and
Technolog
Analytical model of the readout power and SQUID hysteresis parameter dependence of the resonator characteristics of microwave SQUID multiplexers
We report on the development of an analytical model describing the readout
power and SQUID hysteresis parameter dependence of the resonator
characteristics used for frequency encoding in microwave SQUID multiplexers.
Within the context of this model, we derived the different dependencies by
analyzing the Fourier components of the non-linear response of the
non-hysteretic rf-SQUID. We show that our model contains the existing model as
a limiting case, leading to identical analytical expressions for small readout
powers. Considering the approximations we made, our model is valid for rf-SQUID
hysteresis parameters which fully covers the
parameter range of existing multiplexer devices. We conclude our work with an
experimental verification of the model. In particular, we demonstrate a very
good agreement between measured multiplexer characteristics and predictions
based on our model.Comment: This article has been submitted to Superconductor Science and
Technolog
Interactive cohort exploration for spinocerebellar ataxias using synthetic cohort data for visualization
Motivation: Visualization of data is a crucial step to understanding and
deriving hypotheses from clinical data. However, for clinicians, visualization
often comes with great effort due to the lack of technical knowledge about data
handling and visualization. The application offers an easy-to-use solution with
an intuitive design that enables various kinds of plotting functions. The aim
was to provide an intuitive solution with a low entrance barrier for clinical
users. Little to no onboarding is required before creating plots, while the
complexity of questions can grow up to specific corner cases. To allow for an
easy start and testing with SCAview, we incorporated a synthetic cohort dataset
based on real data of rare neurological movement disorders: the most common
autosomal-dominantly inherited spinocerebellar ataxias (SCAs) type 1, 2, 3, and
6 (SCA1, 2, 3 and 6). Methods: We created a Django-based backend application
that serves the data to a React-based frontend that uses Plotly for plotting. A
synthetic cohort was created to deploy a version of SCAview without violating
any data protection guidelines. Here, we added normal distributed noise to the
data and therefore prevent re-identification while keeping distributions and
general correlations. Results: This work presents SCAview, an user-friendly,
interactive web-based service that enables data visualization in a clickable
interface allowing intuitive graphical handling that aims to enable data
visualization in a clickable interface. The service is deployed and can be
tested with a synthetic cohort created based on a large, longitudinal dataset
from observational studies in the most common SCAs
Demonstration of a scalable frequency-domain readout of metallic magnetic calorimeters by means of a microwave SQUID multiplexer
Semiclassical Foundation of Universality in Quantum Chaos
We sketch the semiclassical core of a proof of the so-called
Bohigas-Giannoni-Schmit conjecture: A dynamical system with full classical
chaos has a quantum energy spectrum with universal fluctuations on the scale of
the mean level spacing. We show how in the semiclassical limit all system
specific properties fade away, leaving only ergodicity, hyperbolicity, and
combinatorics as agents determining the contributions of pairs of classical
periodic orbits to the quantum spectral form factor. The small-time form factor
is thus reproduced semiclassically. Bridges between classical orbits and (the
non-linear sigma model of) quantum field theory are built by revealing the
contributing orbit pairs as topologically equivalent to Feynman diagrams.Comment: 4 pages, 2 figures; final version published in PRL, minor change
Optimierung und Performance Evaluierung eines Protonen Computertomographie Systems für präklinische Bildgebung
Simultaneous MMC readout using a tailored {\mu}MUX based readout system
Magnetic microcalorimeters (MMCs) are cryogenic, energy-dispersive
single-particle detectors providing excellent energy resolution, intrinsically
fast signal rise time, quantum efficiency close to 100\%, large dynamic range
as well as almost ideal linear response. One of the remaining challenges to be
overcome to ultimately allow for the utilization of large-scale MMC based
detector arrays with thousands to millions of individual pixels is the
realization of a SQUID based multiplexing technique particularly tailored for
MMC readout. Within this context, we report on the first truly multiplexed
readout of an MMC based detector array using a frequency-division multiplexing
approach realized by a custom microwave SQUID multiplexer based readout system.Comment: Conference: ASC2022 (accepted for publication in IEEE Transactions on
Applied Superconductivity
- …