394 research outputs found
Quantum Tunneling Detection of Two-photon and Two-electron Processes
We analyze the operation of a quantum tunneling detector coupled to a
coherent conductor. We demonstrate that in a certain energy range the output of
the detector is determined by two-photon processes, two-electron processes and
the interference of the two. We show how the individual contributions of these
processes can be resolved in experiments.Comment: 4 pages, 4 figure
Adiabatic quantum pumping at the Josephson frequency
We analyze theoretically adiabatic quantum pumping through a normal conductor
that couples the normal regions of two superconductor/normal
metal/superconductor Josephson junctions. By using the phases of the
superconducting order parameter in the superconducting contacts as pumping
parameters, we demonstrate that a non zero pumped charge can flow through the
device. The device exploits the evolution of the superconducting phases due to
the ac Josephson effect, and can therefore be operated at very high frequency,
resulting in a pumped current as large as a few nanoAmperes. The experimental
relevance of our calculations is discussed.Comment: 4 pages, 3 figure
Finding the best proxies for the solar UV irradiance
Solar UV emission has a profound impact on the upper terrestrial atmosphere.
Because of instrumental constraints, however, solar proxies often need to be
used as substitutes for the solar spectral variability. Finding proxies that
properly reproduce specific spectral bands or lines is an ongoing problem.
Using daily observations from 2003 to 2008 and a multiscale statistical
approach, we test the performances of 9 proxies for the UV solar flux. Their
relevance is evaluated at different time-scales and a novel representation
allows all quantities to be compared simultaneously. This representation
reveals which proxies are most appropriate for different spectral bands and for
different time scales.Comment: to appear in Geoph. Res. Let
Space Weather Community Operations Workshop: Planning for the Next Decade
Scenario: Japan suffers a great earthquake, a major tsunami, and a catastrophic nuclear meltdown. Telecommunications landlines and cell phone towers are inoperable in northern prefectures. This means that high-frequency (HF) radio becomes the primary means of communication to some affected areas. This also means that 3-hour forecasts of HF availability must be provided by space weather service organizations not affected by the disaster (Figure 1). Questions: How accurate are the HF predictions? How reliable is the service? How available is the information
Resolving Ionospheric E-region Modeling Challenges: The Solar Photon Flux Dependence
The EVE instrument of the NASA Solar Dynamics Observatory (SDO) provides for the first time EUV and XUV measurements of the solar irradiance that adequately define the major source of ionization of the atmosphere. In our study we modeled the E-region of the ionosphere and analyzed how it is affected by the solar irradiance data obtained by EVE and contrast this with the S2000 Solar Irradiance model, used previously. The ionosphere has two major layers, the E-layer at 100 km, and the F-layer at 300 km. The difference in solar irradiances are small except at some wavelength bands, it is these differences that lead to a better understanding of the physical/chemical processes of the E-region. Observations of the ionospheric layers is best achieved using incoherent scatter radars (ISR). We have compared our model with ISR data available from Arecibo Puerto Rico in an effort to understand how specific solar irradiance wavelength bands affect the E-region. This study focuses on two specific wavelength bands 0.1-15 nm and 91-103 nm. Both are responsible for E-region production, but in quite different manners
Which solar EUV indices are best for reconstructing the solar EUV irradiance ?
The solar EUV irradiance is of key importance for space weather. Most of the
time, however, surrogate quantities such as EUV indices have to be used by lack
of continuous and spectrally resolved measurements of the irradiance. The
ability of such proxies to reproduce the irradiance from different solar
atmospheric layers is usually investigated by comparing patterns of temporal
correlations. We consider instead a statistical approach. The TIMED/SEE
experiment, which has been continuously operating since Feb. 2002, allows for
the first time to compare in a statistical manner the EUV spectral irradiance
to five EUV proxies: the sunspot number, the f10.7, Ca K, and Mg II indices,
and the He I equivalent width.
Using multivariate statistical methods such as multidimensional scaling, we
represent in a single graph the measure of relatedness between these indices
and various strong spectral lines. The ability of each index to reproduce the
EUV irradiance is discussed; it is shown why so few lines can be effectively
reconstructed from them. All indices exhibit comparable performance, apart from
the sunspot number, which is the least appropriate. No single index can
satisfactorily describe both the level of variability on time scales beyond 27
days, and relative changes of irradiance on shorter time scales.Comment: 6 figures, to appear in Adv. Space. Re
Science through Machine Learning: Quantification of Poststorm Thermospheric Cooling
Machine learning (ML) is often viewed as a black-box regression technique
that is unable to provide considerable scientific insight. ML models are
universal function approximators and - if used correctly - can provide
scientific information related to the ground-truth dataset used for fitting. A
benefit to ML over parametric models is that there are no predefined basis
functions limiting the phenomena that can be modeled. In this work, we develop
ML models on three datasets: the Space Environment Technologies (SET) High
Accuracy Satellite Drag Model (HASDM) density database, a spatiotemporally
matched dataset of outputs from the Jacchia-Bowman 2008 Empirical Thermospheric
Density Model (JB2008), and an accelerometer-derived density dataset from
CHAllenging Minisatellite Payload (CHAMP). These ML models are compared to the
Naval Research Laboratory Mass Spectrometer and Incoherent Scatter radar
(NRLMSIS 2.0) model to study the presence of post-storm cooling in the
middle-thermosphere. We find that both NRLMSIS 2.0 and JB2008-ML do not account
for post-storm cooling and consequently perform poorly in periods following
strong geomagnetic storms (e.g. the 2003 Halloween storms). Conversely,
HASDM-ML and CHAMP-ML do show evidence of post-storm cooling indicating that
this phenomenon is present in the original datasets. Results show that density
reductions up to 40% can occur 1--3 days post-storm depending on location and
the strength of the storm
Highly sensitive optical hydrogen sensor using circular Pd-coated singlemode tapered fibre
A novel optical hydrogen sensor, based on the absorption change of the evanescent fields in a circular Pd-coated singlemode tapered fibre is presented. The proposed sensor is polarisation independent and its sensitivity is adjustable by means of the taper diameter, interaction length, and/or light wavelength. A simple light transmission measurement setup is used to test the sensor. The sensor is suitable for the detection of low hydrogen concentrations with high sensitivity and fast time response. Transmission changes as high as 60% are demonstrated
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