182 research outputs found
Metrology of Rydberg states of the hydrogen atom
We present a method to precisly measure the frequencies of transitions to
high- Rydberg states of the hydrogen atom which are not subject to
uncontrolled systematic shifts caused by stray electric fields. The method
consists in recording Stark spectra of the field-insensitive Stark states
and the field-sensitive Stark states, which are used to calibrate the
electric field strength. We illustrate this method with measurements of
transitions from the hyperfine levels in the
presence of intentionally applied electric fields with strengths in the range
between and Vcm. The slightly field-dependent level
energies are corrected with a precisely calculated shift to obtain the
corresponding Bohr energies . The energy
difference between and obtained with our method agrees with
Bohr's formula within the kHz experimental uncertainty. We also
determined the hyperfine splitting of the state by taking the
difference between transition frequencies from the levels to the Stark states. Our results demonstrate the
possibility of carrying out precision measurements in high- hydrogenic
quantum states
Imaging-assisted single-photon Doppler-free laser spectroscopy and the ionization energy of metastable triplet helium
Skimmed supersonic beams provide intense, cold, collision-free samples of
atoms and molecules are one of the most widely used tools in atomic and
molecular laser spectroscopy. High-resolution optical spectra are typically
recorded in a perpendicular arrangement of laser and supersonic beams to
minimize Doppler broadening. Typical Doppler widths are nevertheless limited to
tens of MHz by the residual transverse-velocity distribution in the
gas-expansion cones. We present an imaging method to overcome this limitation
which exploits the correlation between the positions of the atoms and molecules
in the supersonic expansion and their transverse velocities - and thus their
Doppler shifts. With the example of spectra of
(1\mathrm{s})(n\mathrm{p})\,^3\mathrm{P}_{0-2}\leftarrow
(1\mathrm{s})(2\mathrm{s})\,^3\mathrm{S}_1 transitions to high Rydberg states
of metastable triplet He, we demonstrate the suppression of the residual
Doppler broadening and a reduction of the full linewidths at half maximum to
only about 1 MHz in the UV. Using a retro-reflection arrangement for the laser
beam and a cross-correlation method, we determine Doppler-free spectra without
any signal loss from the selection, by imaging, of atoms within ultranarrow
transverse-velocity classes. As an illustration, we determine the ionization
energy of triplet metastable He and confirm the significant discrepancy between
recent experimental (Clausen et al., Phys. Rev. Lett. 127 093001 (2021)) and
high-level theoretical (Patk\'os et al., Phys. Rev. A 103 042809 (2021)) values
of this quantity
Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning
Multi-Agent Reinforcement Learning (MARL) is a promising candidate for
realizing efficient control of microscopic particles, of which micro-robots are
a subset. However, the microscopic particles' environment presents unique
challenges, such as Brownian motion at sufficiently small length-scales. In
this work, we explore the role of temperature in the emergence and efficacy of
strategies in MARL systems using particle-based Langevin molecular dynamics
simulations as a realistic representation of micro-scale environments. To this
end, we perform experiments on two different multi-agent tasks in microscopic
environments at different temperatures, detecting the source of a concentration
gradient and rotation of a rod. We find that at higher temperatures, the RL
agents identify new strategies for achieving these tasks, highlighting the
importance of understanding this regime and providing insight into optimal
training strategies for bridging the generalization gap between simulation and
reality. We also introduce a novel Python package for studying microscopic
agents using reinforcement learning (RL) to accompany our results.Comment: 12 pages, 5 figure
pyPESTO: A modular and scalable tool for parameter estimation for dynamic models
Mechanistic models are important tools to describe and understand biological
processes. However, they typically rely on unknown parameters, the estimation
of which can be challenging for large and complex systems. We present pyPESTO,
a modular framework for systematic parameter estimation, with scalable
algorithms for optimization and uncertainty quantification. While tailored to
ordinary differential equation problems, pyPESTO is broadly applicable to
black-box parameter estimation problems. Besides own implementations, it
provides a unified interface to various popular simulation and inference
methods. pyPESTO is implemented in Python, open-source under a 3-Clause BSD
license. Code and documentation are available on GitHub
(https://github.com/icb-dcm/pypesto)
Integer quantum Hall transition in the presence of a long-range-correlated quenched disorder
We theoretically study the effect of long-ranged inhomogeneities on the
critical properties of the integer quantum Hall transition. For this purpose we
employ the real-space renormalization-group (RG) approach to the network model
of the transition. We start by testing the accuracy of the RG approach in the
absence of inhomogeneities, and infer the correlation length exponent nu=2.39
from a broad conductance distribution. We then incorporate macroscopic
inhomogeneities into the RG procedure. Inhomogeneities are modeled by a smooth
random potential with a correlator which falls off with distance as a power
law, r^{-alpha}. Similar to the classical percolation, we observe an
enhancement of nu with decreasing alpha. Although the attainable system sizes
are large, they do not allow one to unambiguously identify a cusp in the
nu(alpha) dependence at alpha_c=2/nu, as might be expected from the extended
Harris criterion. We argue that the fundamental obstacle for the numerical
detection of a cusp in the quantum percolation is the implicit randomness in
the Aharonov-Bohm phases of the wave functions. This randomness emulates the
presence of a short-range disorder alongside the smooth potential.Comment: 10 pages including 6 figures, revised version as accepted for
publication in PR
PEtab -- interoperable specification of parameter estimation problems in systems biology
Reproducibility and reusability of the results of data-based modeling studies
are essential. Yet, there has been -- so far -- no broadly supported format for
the specification of parameter estimation problems in systems biology. Here, we
introduce PEtab, a format which facilitates the specification of parameter
estimation problems using Systems Biology Markup Language (SBML) models and a
set of tab-separated value files describing the observation model and
experimental data as well as parameters to be estimated. We already implemented
PEtab support into eight well-established model simulation and parameter
estimation toolboxes with hundreds of users in total. We provide a Python
library for validation and modification of a PEtab problem and currently 20
example parameter estimation problems based on recent studies. Specifications
of PEtab, the PEtab Python library, as well as links to examples, and all
supporting software tools are available at https://github.com/PEtab-dev/PEtab,
a snapshot is available at https://doi.org/10.5281/zenodo.3732958. All original
content is available under permissive licenses
Varieties of Capitalism and the Learning Firm: Contemporary Developments in EU and German Company Law - A Comment on the Strine-Bainbridge Debate About Shared Values of Corporate Management and Labor
Research in corporate governance and in labour law has been characterized by a disjuncture in the way that scholars in each field are addressing organizational questions related to the business enterprise. While labour has eventually begun to shift perspectives from aspirations to direct employee involvement in firm management, as has been the case in Germany, to a combination of \u27exit\u27 and \u27voice\u27 strategies involving pension fund management and securities litigation, it remains to be seen whether this new stream will unfold as a viable challenge to an otherwise exclusionary shareholder value paradigm. At the same time, recent suggestions made by Delaware Chancery Court Vice Chancellor Strine, to dare think about potentially shared commitments between management and labor - and UCLA\u27s Stephen Bainbridge\u27s response - underline the viability - and, the contestedness - of attempts at moving the corporate governance debate beyond the confines of corporate law proper. While such a wider view had already famously been encouraged by Dean Clarke in his 1986 treatise on Corporate Law (p. 32), mainstream corporate law does not seem to have endorsed this perspective. This paper takes the questionable divide between management and labor within the framework of a limiting corporate governance concept as starting point to explore the institutional dynamics of the corporation, hereby building on the theory of the innovative enterprise, as developed by management theorists Mary O\u27Sullivan and William Lazonick. Largely due to the sustained distance between corporate and labour law scholars, neither group has effectively addressed their common blind spot: a better understanding of the business enterprise itself. In midst of an unceasing flow of affirmations of the finance paradigm of the corporation on the one hand and \u27voice\u27 strategies by labour on the other, it seems to fall to management theorists to draw lessons from the continuing co-existence of different forms of market organization, in which companies appear to thrive. Exploring the conundrum of \u27risky\u27 business decisions within the firm, management theorists have been arguing for the need to adopt a more sophisticated organizational perspective on companies operating on locally, regionally and transnationally shaped, often highly volatile market segments. Research by comparative political economists has revealed a high degree of connectivity between corporate governance and economic performance without, however, arriving at such favourable results only for shareholder value regimes. Such findings support the view that corporate governance regimes are embedded in differently shaped regulatory frameworks, characterized by distinct institutions, both formal and informal, and enforcement processes. As a result of these findings, arguments to disassociate issues of corporate governance from those of the firm\u27s (social) responsibility [CSR] have been losing ground. Instead, CSR can be taken to be an essential part of understanding a particular business enterprise. It is the merging of a comparative political economy perspective on the corporation with one on the organizational features, structures and processes of the corporation, which can help us better understand the distribution of power and knowledge within the \u27learning firm\u27
Measurements of inclusive and differential fiducial cross-sections of tt production with additional heavy-flavour jets in proton-proton collisions at √ s= 13 TeV with the ATLAS detector
This paper presents measurements of tt production in association with additional b-jets in pp collisions at the LHC at a centre-of-mass energy of 13 TeV. The data were recorded with the ATLAS detector and correspond to an integrated luminosity of 36.1 fb−1. Fiducial cross-section measurements are performed in the dilepton and lepton-plus-jets tt decay channels. Results are presented at particle level in the form of inclusive cross-sections of tt final states with three and four b-jets as well as differential cross-sections as a function of global event properties and properties of b-jet pairs. The measured inclusive fiducial cross-sections generally exceed the ttbb predictions from various next-to-leading-order matrix element calculations matched to a parton shower but are compatible within the total uncertainties. The experimental uncertainties are smaller than the uncertainties in the predictions. Comparisons of state-of-the-art theoretical predictions with the differential measurements are shown and good agreement with data is found for most of them
Study of the hard double-parton scattering contribution to inclusive four-lepton production in pp collisions at √s=8 TeV with the ATLAS detector
The inclusive production of four isolated charged leptons in pp collisions is analysed for the presence of hard double-parton scattering, using 20.2fb−1of data recorded in the ATLAS detector at the LHC at centre-of-mass energy √s=8TeV. In the four-lepton invariant-mass range of 80 <m4<1000GeV, an artificial neural network is used to enhance the separation between single-and double-parton scattering based on the kinematics of the four leptons in the final state. An upper limit on the fraction of events originating from double-parton scattering is determined at 95% confidence level to be fDPS=0.042, which results in an estimated lower limit on the effective cross section at 95% confidence level of 1.0mb
Electron and photon energy calibration with the ATLAS detector using 2015–2016 LHC proton-proton collision data
This paper presents the electron and photon energy calibration obtained with the ATLAS detector using about 36 fb−1 of LHC proton-proton collision data recorded at √s = 13 TeV in 2015 and 2016. The different calibration steps applied to the data and the optimization of the reconstruction of electron and photon energies are discussed. The absolute energy scale is set using a large sample of Z boson decays into electron-positron pairs. The systematic uncertainty in the energy scale calibration varies between 0.03% to 0.2% in most of the detector acceptance for electrons with transverse momentum close to 45 GeV. For electrons with transverse momentum of 10 GeV the typical uncertainty is 0.3% to 0.8% and it varies between 0.25% and 1% for photons with transverse momentum around 60 GeV. Validations of the energy calibration with J/ψ → e + e − decays and radiative Z boson decays are also presented
- …