The article covers methodological aspects of human capital cost accounting, taking into account the Resource Utility Model and Alternative Costs Theory. The comparative characteristic of the models ...of human capital costs accounting covers Asset Model ("costs", chronological cost model) and Resource Utility Model. The choice of the model for human capital cost accounting is justified depending on the scope of powers and responsibilities of managers. The features for choosing human capital cost accounting model are considered depending on the classification of responsibility centers.
Van-der-Waals interaction of atoms in dipolar Rydberg states Kamenski, Aleksandr A.; Mokhnenko, Sergey N.; Ovsiannikov, Vitaly D.
The European physical journal. D, Atomic, molecular, and optical physics,
02/2018, Volume:
72, Issue:
2
Journal Article
Peer reviewed
An asymptotic expression for the van-der-Waals constant
C
6
(
n
) ≈ –0.03
n
12
K
p
(
x
) is derived for the long-range interaction between two highly excited hydrogen atoms A and B in their extreme ...Stark states of equal principal quantum numbers
n
A
=
n
B
=
n
≫ 1 and parabolic quantum numbers
n
1(2)
=
n
- 1,
n
2(1)
=
m
= 0 in the case of collinear orientation of the Stark-state dipolar electric moments and the interatomic axis. The cubic polynomial
K
3
(
x
) in powers of reciprocal values of the principal quantum number
x
= 1/
n
and quadratic polynomial
K
2
(
y
) in powers of reciprocal values of the principal quantum number squared
y
= 1/
n
2
were determined on the basis of the standard curve fitting polynomial procedure from the calculated data for
C
6
(
n
). The transformation of attractive van-der-Waals force (
C
6
> 0) for low-energy states
n
< 23 into repulsive force (
C
6
< 0) for all higher-energy states of
n
≥ 23, is observed from the results of numerical calculations based on the second-order perturbation theory for the operator of the long-range interaction between neutral atoms. This transformation is taken into account in the asymptotic formulas (in both cases of
p
= 2, 3) by polynomials
K
p
tending to unity at
n
→
∞
(
K
p
(0) = 1). The transformation from low-
n
attractive van-der-Waals force into high-
n
repulsive force demonstrates the gradual increase of the negative contribution to
C
6
(
n
) from the lower-energy two-atomic states, of the A(B)-atom principal quantum numbers
n
′
A(B)
=
n
-Δ
n
(where Δ
n
= 1, 2, … is significantly smaller than
n
for the terms providing major contribution to the second-order series), which together with the states of
n
″
B(A)
=
n
+Δ
n
make the joint contribution proportional to
n
12
. So, the hydrogen-like manifold structure of the energy spectrum is responsible for the transformation of the power-11 asymptotic dependence
C
6
(
n
) ∝
n
11
of the low-angular-momenta Rydberg states in many-electron atoms into the power-12 dependence
C
6
(
n
) ∝
n
12
for the dipolar states of the Rydberg manifold.
Graphical abstract
Full text
Available for:
DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Abstract
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these ...approaches is their profound sensitivity to the biases in training samples. In the case of particle identification (PID), this might lead to degradation of the efficiency for some decays not present in the training dataset due to differences in input kinematic distributions. In this talk, we propose a method based on the Common Specific Decomposition that takes into account individual decays and possible misshapes in the training data by disentangling common and decay specific components of the input feature set. We show that the proposed approach reduces the rate of efficiency degradation for the PID algorithms for the decays reconstructed in the LHCb detector.
A full detector description using neural network driven simulation Ratnikov, Fedor; Rogachev, Alexander; Mokhnenko, Sergey ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
01/2023, Volume:
1046
Journal Article
Peer reviewed
The abundance of data arriving in the new runs of the Large Hadron Collider creates tough requirements for the amount of necessary simulated events and thus for the speed of generating such events. ...Current approaches can suffer from long generation time and lack of important storage resources to preserve the simulated datasets. The development of the new fast generation techniques is thus crucial for the proper functioning of experiments. We present a novel approach to simulate LHCb detector events using generative machine learning algorithms and other statistical tools. The approaches combine the speed and flexibility of neural networks and encapsulates knowledge about the detector in the form of statistical patterns. Whenever possible, the algorithms are trained using real data, which enhances their robustness against differences between real data and simulation. We discuss particularities of neural network detector simulation implementations and corresponding systematic uncertainties.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
15.
van der Waals interaction of atoms in circular Rydberg states Kamenski, Aleksandr A.; Manakov, Nikolay L.; Mokhnenko, Sergey N. ...
The European physical journal. D, Atomic, molecular, and optical physics,
2018/10, Volume:
72, Issue:
10
Journal Article
Peer reviewed
Analytical expressions for the constants of resolution in powers of inverse interatomic distance 1∕
R
are determined for the energy of the long-range interaction between two atoms A and B in their ...circular Rydberg states of equal principal quantum numbers
n
A
=
n
B
≡
n
≫ 1, maximal angular momenta and magnetic quantum numbers
l
A
=
l
B
= |
m
A
| = |
m
B
| =
n
− 1 in the case of arbitrary orientation of the interatomic axis relative the axis of the
m
-quantization. Coefficients of the odd-power terms
C
k
∕
R
k
are derived for
k
= 5, 7, 9 from the first-order perturbation theory (PT) for the interaction Hamiltonian. The constant
C
6
of the van der Waals interaction Δ
E
vdW
= −
C
6
∕
R
6
, determined from the second-order PT, is resolved into irreducible components. The combinations of irreducible components determine coefficients at Legendre polynomials and/or cosine functions describing the dependence of
C
6
on the angle between the interatomic and quantization axes. The asymptotic dependence on the principal quantum number
C
6
∝
n
12
is demonstrated analytically. Polynomials in powers of
n
are derived for extrapolation of calculated data to the case of arbitrary
n
. The transformation of attractive van der Waals force (
C
6
> 0) for low-energy states
n
< 6 into repulsive force (
C
6
< 0) for all higher-energy states of
n
≥ 8 is demonstrated in numerical calculations.
Graphical abstract
Full text
Available for:
DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Theoretical analysis is presented of the natural lifetimes and blackbody-radiation (BBR)-induced shifts and widths of Rydberg states with small and large angular momenta
l
. Asymptotic presentations ...in elementary functions are derived for matrix elements of bound-bound, bound-free and threshold radiative transitions from hydrogenic-type states with large angular momenta, applicable to both hydrogen-like and many-electron atoms and ions. For states with small angular momenta two numerical methods based on the quantum defects were used and corresponding data are compared with one another and with the most reliable data of the literature. Asymptotic approximations are derived for natural lifetimes, thermal shifts and broadening of Rydberg states of small and high
l
and principal quantum numbers
n
≫ 1.
Full text
Available for:
DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these approaches ...is their profound sensitivity to the biases in training samples. In the case of particle identification (PID), this might lead to degradation of the efficiency for some decays not present in the training dataset due to differences in input kinematic distributions. In this talk, we propose a method based on the Common Specific Decomposition that takes into account individual decays and possible misshapes in the training data by disentangling common and decay specific components of the input feature set. We show that the proposed approach reduces the rate of efficiency degradation for the PID algorithms for the decays reconstructed in the LHCb detector.
The increasing luminosities of future data taking at Large Hadron Collider and next generation collider experiments require an unprecedented amount of simulated events to be produced. Such large ...scale productions demand a significant amount of valuable computing resources. This brings a demand to use new approaches to event generation and simulation of detector responses. In this paper, we discuss the application of generative adversarial networks (GANs) to the simulation of the LHCb experiment events. We emphasize main pitfalls in the application of GANs and study the systematic effects in detail. The presented results are based on the Geant4 simulation of the LHCb Cherenkov detector.
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