344 research outputs found
OCS in small para-hydrogen clusters: energetics and structure with N=1-8 complexed hydrogen molecules
We determine the structure and energetics of complexes of the linear OCS
molecule with small numbers of para-hydrogen molecules, N=1-8, using zero
temperature quantum Monte Carlo methods. Ground state calculations are carried
out with importance-sampled rigid body diffusion Monte Carlo (IS-RBDMC) and
excited state calculations with the projection operator imaginary time spectral
evolution (POITSE) methodology. The ground states are found to be highly
structured, with a gradual build up of two axial rings as N increases to 8.
Analysis of the azimuthal density correlations around the OCS molecule shows
that these rings are quite delocalized for small N values, but become strongly
localized for N \geq 5 . Excited state calculations are made for a range of
total cluster angular momentum values and the rotational energy levels fitted
to obtain effective rotational and distortion constants of the complexed OCS
molecule as a function of cluster size N. Detailed analysis of these
spectroscopic constants indicates that the complexes of OCS with para-hydrogen
have an unusually rich variation in dynamical behavior, with sizes N=1-2
showing near rigid behavior, sizes N=3-4 showing extremely floppy behavior, and
the larger sizes N=5-8 showing more rigid behavior again. The large values of
the distortion constant D obtained for N=3-4 are rationalized in terms of the
coupling between the OCS rotations and the "breathing" mode of the first,
partially filled ring of para-hydrogen molecules.Comment: 26 pages, 11 figures. accepted for publication in the Journal of
Chemical Physic
Structure, rotational dynamics, and superfluidity of small OCS-doped He clusters
The structural and dynamical properties of OCS molecules solvated in Helium
clusters are studied using reptation quantum Monte Carlo, for cluster sizes
n=3-20 He atoms. Computer simulations allow us to establish a relation between
the rotational spectrum of the solvated molecule and the structure of the He
solvent, and of both with the onset of superfluidity. Our results agree with a
recent spectroscopic study of this system, and provide a more complex and
detailed microscopic picture of this system than inferred from experiments.Comment: 4 pages. TeX (requires revtex4) + 3 ps figures (1 color
Modeling the water-halide ion interactions
1 pág.; 1 fig.; XXIX International Conference on Photonic, Electronic, and Atomic Collisions (ICPEAC2015); Open Access funded by Creative Commons Atribution Licence 3.0Ions play an important role in many heterogeneous processes, and understanding specific ion effects
is a key point in studying solvation mechanisms in liquids as well as reactivity of aerosol particles. In this regard,
a crucial issue to be resolved is the extent to which ions influence the structural and dynamical properties of the
surrounding hydrogen bond network and, at the same time, to provide a direct molecular-level interpretation of
the experimental measurements.Peer Reviewe
Threshold detection statistics of bosonic states
In quantum photonics, threshold detectors, distinguishing between vacuum and
one or more photons, such as superconducting nanowires and avalanche
photodiodes, are routinely used to measure Fock and Gaussian states of light.
Despite being the standard measurement scheme, there is no general closed form
expression for measurement probabilities with threshold detectors, unless
accepting coarse approximations or combinatorially scaling summations. Here, we
present new matrix functions to fill this gap. We develop the Bristolian and
the loop Torontonian functions for threshold detection of Fock and displaced
Gaussian states, respectively, and connect them to each other and to existing
matrix functions. By providing a unified picture of bosonic statistics for most
quantum states of light, we provide novel tools for the design and analysis of
photonic quantum technologies.Comment: 14 pages, 2 figures, 1 tabl
Transition from molecular complex to quantum solvation in OCS(He)_N
We present quantum calculations of the rotational energy levels and
spectroscopic rotational constants of the linear OCS molecule in variable size
clusters of 4He, using spectral evolution quantum Monte Carlo methods that
allow excited states to be accessed without nodal constraints. The rotational
constants of OCS are found to decrease monotonically from the gas phase value
as the number of helium atoms increases to N=6, after which the average
constant increases to saturation at a value in excellent agreement with
experimental measurements made on significantly larger clusters (N>1000). The
minimum is shown to indicate a transition from a molecular complex to a quantum
solvated molecule, with the former characterized by floppy but near rigid
behavior, while the latter is characterized by non-zero permutation exchanges
and a smaller extent of rigid coupling.Comment: 4 pages, 1 figure, submitted to Phys. Rev. Lett. on July 18,200
Scheme for Universal High-Dimensional Quantum Computation with Linear Optics
Photons are natural carriers of high-dimensional quantum information, and, in
principle, can benefit from higher quantum information capacity and
noise-resilience. However, schemes to generate the resources required for
high-dimensional quantum computing have so far been lacking in linear optics.
Here, we show how to generate GHZ states in arbitrary dimensions and numbers of
photons using linear optical circuits described by Fourier transform matrices.
Combining our results with recent schemes for qudit Bell measurements, we show
that universal linear optical quantum computing can be performed in arbitrary
dimensions
Torque teno virus (TTV): A gentle spy virus of immune status, predictive marker of seroconversion to COVID-19 vaccine in kidney and lung transplant recipients
To date, no comprehensive marker to monitor the immune status of patients is available. Given that Torque teno virus (TTV), a known human virome component, has previously been identified as a marker of immunocompetence, it was retrospectively investigated whether TTV viral load may also represent a marker of ability to develop antibody in response to COVID-19-BNT162B2 vaccine in solid organ transplant recipients (SOT). Specifically, 273 samples from 146 kidney and 26 lung transplant recipients after successive doses of vaccine were analyzed. An inverse correlation was observed within the TTV copy number and anti-Spike IgG antibody titer with a progressive decrease in viremia the further away from the transplant date. Analyzing the data obtained after the second dose, a significant difference in TTV copy number between responsive and nonresponsive patients was observed, considering a 5 log10 TTV copies/mL threshold to discriminate between the two groups. Moreover, for 86 patients followed in their response to the second and third vaccination doses a 6 log10 TTV copies/mL threshold was used to predict responsivity to the booster dose. Although further investigation is necessary, possibly extending the analysis to other patient categories, this study suggests that TTV can be used as a good marker of vaccine response in transplant patients
Crilin: A CRystal calorImeter with Longitudinal InformatioN for a future Muon Collider
The measurement of physics processes at new energy frontier experiments
requires excellent spatial, time, and energy resolutions to resolve the
structure of collimated high-energy jets. In a future Muon Collider, the
beam-induced backgrounds (BIB) represent the main challenge in the design of
the detectors and of the event reconstruction algorithms. The technology and
the design of the calorimeters should be chosen to reduce the effect of the
BIB, while keeping good physics performance. Several requirements can be
inferred: i) high granularity to reduce the overlap of BIB particles in the
same calorimeter cell; ii) excellent timing (of the order of 100 ps) to reduce
the out-of-time component of the BIB; iii) longitudinal segmentation to
distinguish the signal showers from the fake showers produced by the BIB; iv)
good energy resolution (less than 10%/sqrt(E)) to obtain good physics
performance, as has been already demonstrated for conceptual particle flow
calorimeters. Our proposal consists of a semi-homogeneous electromagnetic
calorimeter based on Lead Fluoride Crystals (PbF2) readout by surface-mount
UV-extended Silicon Photomultipliers (SiPMs): the Crilin calorimeter. In this
paper, the performances of the Crilin calorimeter in the Muon Collider
framework for hadron jets reconstruction have been analyzed. We report the
single components characterizations together with the development of a
small-scale prototype, consisting of 2 layers of 3x3 crystals each
Quantum dynamics of molecules in 4He nano-droplets: Microscopic Superfluidity
High resolution spectroscopy of doped molecules in 4He nano-droplets and
clusters gives a signature of superfluidity in microscopic system, termed as
microscopic superfluidity. Ro-vibrational spectrum of 4HeN-M clusters is
studied with the help of some important observations, revealed from experiments
(viz., localised and orderly arrangement of 4He atoms, although, being free to
move in the order of their locations; individual 4He atoms can not be tagged as
normal/ superfluid, etc.) and other factors (e.g., consideration that the 4He
atoms which happen to fall in the plane of rotation of a molecule, render a
equipotential ring and thus, do not take part in rotation; etc.) which effect
the rotational and vibrational spectrum of the system. This helps us in
successfully explaining the experimental findings which state that the
rotational spectrum of clusters have sharp peaks (indicating that the molecule
rotates like a free rotor) and moment of inertia and vibrational frequency
shift have a non-trivial dependence on N
Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions.
The accurate representation of multidimensional potential energy surfaces is a necessary requirement for realistic computer simulations of molecular systems. The continued increase in computer power accompanied by advances in correlated electronic structure methods nowadays enables routine calculations of accurate interaction energies for small systems, which can then be used as references for the development of analytical potential energy functions (PEFs) rigorously derived from many-body (MB) expansions. Building on the accuracy of the MB-pol many-body PEF, we investigate here the performance of permutationally invariant polynomials (PIPs), neural networks, and Gaussian approximation potentials (GAPs) in representing water two-body and three-body interaction energies, denoting the resulting potentials PIP-MB-pol, Behler-Parrinello neural network-MB-pol, and GAP-MB-pol, respectively. Our analysis shows that all three analytical representations exhibit similar levels of accuracy in reproducing both two-body and three-body reference data as well as interaction energies of small water clusters obtained from calculations carried out at the coupled cluster level of theory, the current gold standard for chemical accuracy. These results demonstrate the synergy between interatomic potentials formulated in terms of a many-body expansion, such as MB-pol, that are physically sound and transferable, and machine-learning techniques that provide a flexible framework to approximate the short-range interaction energy terms.This work was supported by the National Science Foundation through Grant No. ACI-1642336 (to F.P. and A.W.G.). This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant No. ACI-1548562. J.B. is grateful for a Heisenberg professorship funded by the DFG (No. Be3264/11-2). E.Sz. would like to acknowledge the support of the Peterhouse Research Studentship and the support of BP International Centre for Advanced Materials (ICAM). M.C. was supported by the European Research Council under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 677013-HBMAP). G.I. acknowledges funding from the Fondazione Zegn
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