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mori projection operator  (Genovis Inc)


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    Genovis Inc mori projection operator
    Mori Projection Operator, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/projection+operator/OpeRATOR+Lyophilized/pm41235896-46-2-3
    Average 93 stars, based on 92 article reviews
    mori projection operator - by Bioz Stars, 2026-09
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    Expressing:

    Article Title: Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation
    Article Snippet: .. Hence: b: Simplify Projection Operator (18)T2|i+1 = OiACi (19)A = O†i T2|i+1Ci = S −1/2 i U T 1 T2|i+1V1S −1/2 1 (20)Pi = Yf /Yp = Yf Yp(YpYpT )−1Yp (21)H = [ Yp Yf ] = RQT (22) H = li l l(i − 1) j → ∞ ↔ ↔ ↔ ↔ li l l(i − 1) � � � R11 R21 R31 0 R22 R32 0 0 R33 QT1 QT2 QT3 � � � li l l(i − 1) The simplified expression for the projection derived from Eq. (23) is as follows: Step 3: Decompose Projection Matrix via SVD The projection matrix Pi can be expressed as the product of the state sequence derived from the Kalman filter Xi and the observability matrix Oi (Peeters B, De Roeck G, 1999). ..

    Derivative Assay:

    Article Title: Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation
    Article Snippet: .. Hence: b: Simplify Projection Operator (18)T2|i+1 = OiACi (19)A = O†i T2|i+1Ci = S −1/2 i U T 1 T2|i+1V1S −1/2 1 (20)Pi = Yf /Yp = Yf Yp(YpYpT )−1Yp (21)H = [ Yp Yf ] = RQT (22) H = li l l(i − 1) j → ∞ ↔ ↔ ↔ ↔ li l l(i − 1) � � � R11 R21 R31 0 R22 R32 0 0 R33 QT1 QT2 QT3 � � � li l l(i − 1) The simplified expression for the projection derived from Eq. (23) is as follows: Step 3: Decompose Projection Matrix via SVD The projection matrix Pi can be expressed as the product of the state sequence derived from the Kalman filter Xi and the observability matrix Oi (Peeters B, De Roeck G, 1999). ..

    Sequencing:

    Article Title: Comparative study of data-based and covariance-based methods for flutter derivative identification of a trussed deck suspension bridge model with wind tunnel validation
    Article Snippet: .. Hence: b: Simplify Projection Operator (18)T2|i+1 = OiACi (19)A = O†i T2|i+1Ci = S −1/2 i U T 1 T2|i+1V1S −1/2 1 (20)Pi = Yf /Yp = Yf Yp(YpYpT )−1Yp (21)H = [ Yp Yf ] = RQT (22) H = li l l(i − 1) j → ∞ ↔ ↔ ↔ ↔ li l l(i − 1) � � � R11 R21 R31 0 R22 R32 0 0 R33 QT1 QT2 QT3 � � � li l l(i − 1) The simplified expression for the projection derived from Eq. (23) is as follows: Step 3: Decompose Projection Matrix via SVD The projection matrix Pi can be expressed as the product of the state sequence derived from the Kalman filter Xi and the observability matrix Oi (Peeters B, De Roeck G, 1999). ..

    Generated:

    Article Title: Multispin Photoexcited State and Generation of Dynamic Electron Spin Polarization Observed in Anthracene-Radical-Linked Systems with Extended π-Conjugated Spin Coupler.
    Article Snippet: .. In this simulation, the DEP was selectively generated for the |Q′±1/2⟩ component in the zero-field spin sublevels of the D−Q mixed state (C1| D′±1/2⟩ + C2|Q′±1/2⟩) using the projection operator (Λ(Q′±1/2) = |Q′±1/2⟩⟨Q′±1/2|). ..

    other:

    Article Title: Energy-resolved imaging and tomography with compact neutron systems—application to novel construction materials for thermal-energy storage
    Article Snippet: Then, the estimated projections are obtained by applying a forward-projection operator to the current image estimate.

    Article Title: Weak Radiofrequency Field Effects on Biological Systems Mediated through the Radical Pair Mechanism.
    Article Snippet: 245 Again, correlation functions can be obtained through f j(X) as = * = *g f f X f X f X p X( ) (0)de( )jk j k k D j 0 (43) where D̂ is the operator describing the stochastic evolution and p0(X) is the equilibrium density of the system dependent on X.245 The formal approach of the NZ theory can be achieved by projecting the density of the system from the total density operator:245 = + t t X t X t X( , ) ( , ) d( , ) t 0 (44) where = [ ×] { ×} +H X K Di, (with × being a placeholder) is the full Liouvillian of the complete system and is the projection operator of the spin system of interest.

    Transformation Assay:

    Article Title: Frictional strength regulated by roughness alignment
    Article Snippet: .. The zenith angle θc has the following relationship, θc = cos−1([nz L]T ∙ RZYX T(α, β, γ) ∙ nz L). (S6) The azimuth angle φi can be determined using the projection operator, i.e., φc = cos−1([nz L]T ∙ P ∙ RZYX T(α, β, γ) ∙ nz L), (S7) where P = [ 1 0 0 0 1 0 0 0 0 ] is a projection transformation matrix. ..

    Plasmid Preparation:

    Article Title: Learning-based control for tendon-driven continuum robotic arms
    Article Snippet: .. Using the projection operator in the null-space ( ; ), denoted as I − J T J − T , The set of all solutions can be expressed as represented in : T = J T F + I − J T J − T ζ (2) In the above equation, ζ ∈ R 6 is the null-space adjustment vector, and I − J T J − T ≠ 0 . ..



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    a Schematical representation of a fluxonium qubit, defined by a Josephson junction with energy E J and a capacitance C 1 in parallel with a inductance L 1 , galvanically coupled to a L C resonator. First eigenstates of the fluxonium qubit for ϕ ext = π ( b ) and ϕ ext = 3 π /4 ( c ). In the latter, the parity symmetry is broken. In both cases, the dashed black line correspond to the potential. Comparison of the eigenvalues in the full model (solid blue line), the standard QRM (dashed green line), and the RQRM (dotted red line), as a function of the normalized coupling g / ω c , and for ϕ ext = π ( d ) and ϕ ext = 49 π /50 ( e ). As for the real atoms case, the renormalization gives better results. f Time evolution of <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\langle i(\hat{a}-{\hat{a}}^{{\dagger} })\rangle$$\end{document} ⟨ i ( a ^ − a ^ † ) ⟩ after a π -pulse on the qubit and in the case of ϕ ext = 49 π /50. The renormalized QRM provides a better agreement with the full model. The parameters used in this Figure are: E C = q 2 /(2 C 1 ) = 2.5 GHz, E L = ( ℏ /2 q ) 2 / L 1 = 0.5 GHz, E J = 9 GHz, and ω c = 3 ω 10 , which reproduce typical experimental values for fluxonium qubits , . For the π -pulse, we used ω dr = E 10 , σ dr = 50/( E 21 − E 10 ) and t 0 = 3 σ dr (see Methods).
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    a Schematical representation of a fluxonium qubit, defined by a Josephson junction with energy E J and a capacitance C 1 in parallel with a inductance L 1 , galvanically coupled to a L C resonator. First eigenstates of the fluxonium qubit for ϕ ext = π ( b ) and ϕ ext = 3 π /4 ( c ). In the latter, the parity symmetry is broken. In both cases, the dashed black line correspond to the potential. Comparison of the eigenvalues in the full model (solid blue line), the standard QRM (dashed green line), and the RQRM (dotted red line), as a function of the normalized coupling g / ω c , and for ϕ ext = π ( d ) and ϕ ext = 49 π /50 ( e ). As for the real atoms case, the renormalization gives better results. f Time evolution of <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\langle i(\hat{a}-{\hat{a}}^{{\dagger} })\rangle$$\end{document} ⟨ i ( a ^ − a ^ † ) ⟩ after a π -pulse on the qubit and in the case of ϕ ext = 49 π /50. The renormalized QRM provides a better agreement with the full model. The parameters used in this Figure are: E C = q 2 /(2 C 1 ) = 2.5 GHz, E L = ( ℏ /2 q ) 2 / L 1 = 0.5 GHz, E J = 9 GHz, and ω c = 3 ω 10 , which reproduce typical experimental values for fluxonium qubits , . For the π -pulse, we used ω dr = E 10 , σ dr = 50/( E 21 − E 10 ) and t 0 = 3 σ dr (see Methods).
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    a Schematical representation of a fluxonium qubit, defined by a Josephson junction with energy E J and a capacitance C 1 in parallel with a inductance L 1 , galvanically coupled to a L C resonator. First eigenstates of the fluxonium qubit for ϕ ext = π ( b ) and ϕ ext = 3 π /4 ( c ). In the latter, the parity symmetry is broken. In both cases, the dashed black line correspond to the potential. Comparison of the eigenvalues in the full model (solid blue line), the standard QRM (dashed green line), and the RQRM (dotted red line), as a function of the normalized coupling g / ω c , and for ϕ ext = π ( d ) and ϕ ext = 49 π /50 ( e ). As for the real atoms case, the renormalization gives better results. f Time evolution of <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\langle i(\hat{a}-{\hat{a}}^{{\dagger} })\rangle$$\end{document} ⟨ i ( a ^ − a ^ † ) ⟩ after a π -pulse on the qubit and in the case of ϕ ext = 49 π /50. The renormalized QRM provides a better agreement with the full model. The parameters used in this Figure are: E C = q 2 /(2 C 1 ) = 2.5 GHz, E L = ( ℏ /2 q ) 2 / L 1 = 0.5 GHz, E J = 9 GHz, and ω c = 3 ω 10 , which reproduce typical experimental values for fluxonium qubits , . For the π -pulse, we used ω dr = E 10 , σ dr = 50/( E 21 − E 10 ) and t 0 = 3 σ dr (see Methods).
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    Image Search Results


    a Schematical representation of a fluxonium qubit, defined by a Josephson junction with energy E J and a capacitance C 1 in parallel with a inductance L 1 , galvanically coupled to a L C resonator. First eigenstates of the fluxonium qubit for ϕ ext = π ( b ) and ϕ ext = 3 π /4 ( c ). In the latter, the parity symmetry is broken. In both cases, the dashed black line correspond to the potential. Comparison of the eigenvalues in the full model (solid blue line), the standard QRM (dashed green line), and the RQRM (dotted red line), as a function of the normalized coupling g / ω c , and for ϕ ext = π ( d ) and ϕ ext = 49 π /50 ( e ). As for the real atoms case, the renormalization gives better results. f Time evolution of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\langle i(\hat{a}-{\hat{a}}^{{\dagger} })\rangle$$\end{document} ⟨ i ( a ^ − a ^ † ) ⟩ after a π -pulse on the qubit and in the case of ϕ ext = 49 π /50. The renormalized QRM provides a better agreement with the full model. The parameters used in this Figure are: E C = q 2 /(2 C 1 ) = 2.5 GHz, E L = ( ℏ /2 q ) 2 / L 1 = 0.5 GHz, E J = 9 GHz, and ω c = 3 ω 10 , which reproduce typical experimental values for fluxonium qubits , . For the π -pulse, we used ω dr = E 10 , σ dr = 50/( E 21 − E 10 ) and t 0 = 3 σ dr (see Methods).

    Journal: Communications Physics

    Article Title: Renormalization and low-energy effective models in cavity and circuit quantum electrodynamics

    doi: 10.1038/s42005-025-02325-5

    Figure Lengend Snippet: a Schematical representation of a fluxonium qubit, defined by a Josephson junction with energy E J and a capacitance C 1 in parallel with a inductance L 1 , galvanically coupled to a L C resonator. First eigenstates of the fluxonium qubit for ϕ ext = π ( b ) and ϕ ext = 3 π /4 ( c ). In the latter, the parity symmetry is broken. In both cases, the dashed black line correspond to the potential. Comparison of the eigenvalues in the full model (solid blue line), the standard QRM (dashed green line), and the RQRM (dotted red line), as a function of the normalized coupling g / ω c , and for ϕ ext = π ( d ) and ϕ ext = 49 π /50 ( e ). As for the real atoms case, the renormalization gives better results. f Time evolution of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\langle i(\hat{a}-{\hat{a}}^{{\dagger} })\rangle$$\end{document} ⟨ i ( a ^ − a ^ † ) ⟩ after a π -pulse on the qubit and in the case of ϕ ext = 49 π /50. The renormalized QRM provides a better agreement with the full model. The parameters used in this Figure are: E C = q 2 /(2 C 1 ) = 2.5 GHz, E L = ( ℏ /2 q ) 2 / L 1 = 0.5 GHz, E J = 9 GHz, and ω c = 3 ω 10 , which reproduce typical experimental values for fluxonium qubits , . For the π -pulse, we used ω dr = E 10 , σ dr = 50/( E 21 − E 10 ) and t 0 = 3 σ dr (see Methods).

    Article Snippet: The standard QRM is obtained by truncating the atomic Hilbert space to the two lowest energy levels, which can be formally obtained by applying the projection operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{P}}={\sum }_{n = 0}^{1} \vert n \rangle \langle n \vert$$\end{document} P ^ = ∑ n = 0 ∣ n ⟩ ⟨ n ∣ to the full Hamiltonian (see Fig. a).

    Techniques: Comparison

    Mean square error of the eigenvalues of the first 5 excited states with respect to the full model, as a function of the gauge parameter η , for g / ω c = 0.8, m = 1, γ = 60, and ω c = 3 ω 10 . The QRM (red dashed) breaks gauge invariance, showing that the dipole gauge ( η = 1) is the most accurate. On the other hand, the RQRM \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{{{\mathcal{H}}}}}^{{\prime} (\eta )}$$\end{document} H ^ ′ ( η ) (green dotted) in Eq. is not only gauge invariant but also provides more accurate results. For completeness, we also compare these models with the gauge-preserving QRM \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{{{\mathcal{H}}}}}^{(\eta )}$$\end{document} H ^ ( η ) (blue dash-dotted) in Eq. , which, however, does not take into account the renormalization of the higher energy levels.

    Journal: Communications Physics

    Article Title: Renormalization and low-energy effective models in cavity and circuit quantum electrodynamics

    doi: 10.1038/s42005-025-02325-5

    Figure Lengend Snippet: Mean square error of the eigenvalues of the first 5 excited states with respect to the full model, as a function of the gauge parameter η , for g / ω c = 0.8, m = 1, γ = 60, and ω c = 3 ω 10 . The QRM (red dashed) breaks gauge invariance, showing that the dipole gauge ( η = 1) is the most accurate. On the other hand, the RQRM \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{{{\mathcal{H}}}}}^{{\prime} (\eta )}$$\end{document} H ^ ′ ( η ) (green dotted) in Eq. is not only gauge invariant but also provides more accurate results. For completeness, we also compare these models with the gauge-preserving QRM \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{{{\mathcal{H}}}}}^{(\eta )}$$\end{document} H ^ ( η ) (blue dash-dotted) in Eq. , which, however, does not take into account the renormalization of the higher energy levels.

    Article Snippet: The standard QRM is obtained by truncating the atomic Hilbert space to the two lowest energy levels, which can be formally obtained by applying the projection operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{P}}={\sum }_{n = 0}^{1} \vert n \rangle \langle n \vert$$\end{document} P ^ = ∑ n = 0 ∣ n ⟩ ⟨ n ∣ to the full Hamiltonian (see Fig. a).

    Techniques: Preserving

    a Expectation value of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${(\hat{a}+{\hat{a}}^{{\dagger} })}^{2}$$\end{document} ( a ^ + a ^ † ) 2 ( a ) on the third excited state of the full model (blue solid), QRM (red dashed) and the RQRM (green dash-dotted), as a function of the coupling strength g / ω c . The RQRM provides more accurate results, even for strong coupling strengths. Matrix elements of the cavity field \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{a}+{\hat{a}}^{{\dagger} }$$\end{document} a ^ + a ^ † ( b ) and the atomic position operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{x}$$\end{document} x ^ ( c ) between the ground and the second excited, as a function of g / ω c . While in the panel ( b ) the renormalization improves the accuracy, in the panel c it does not. This behavior can be explained by the infidelity of the second excited state of the RQRM with respect to the QRM, as a function of g / ω c , for both the reduced density matrix of the cavity (solid light blue) and the atom (dashed orange) ( d ).

    Journal: Communications Physics

    Article Title: Renormalization and low-energy effective models in cavity and circuit quantum electrodynamics

    doi: 10.1038/s42005-025-02325-5

    Figure Lengend Snippet: a Expectation value of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${(\hat{a}+{\hat{a}}^{{\dagger} })}^{2}$$\end{document} ( a ^ + a ^ † ) 2 ( a ) on the third excited state of the full model (blue solid), QRM (red dashed) and the RQRM (green dash-dotted), as a function of the coupling strength g / ω c . The RQRM provides more accurate results, even for strong coupling strengths. Matrix elements of the cavity field \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{a}+{\hat{a}}^{{\dagger} }$$\end{document} a ^ + a ^ † ( b ) and the atomic position operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat{x}$$\end{document} x ^ ( c ) between the ground and the second excited, as a function of g / ω c . While in the panel ( b ) the renormalization improves the accuracy, in the panel c it does not. This behavior can be explained by the infidelity of the second excited state of the RQRM with respect to the QRM, as a function of g / ω c , for both the reduced density matrix of the cavity (solid light blue) and the atom (dashed orange) ( d ).

    Article Snippet: The standard QRM is obtained by truncating the atomic Hilbert space to the two lowest energy levels, which can be formally obtained by applying the projection operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{P}}={\sum }_{n = 0}^{1} \vert n \rangle \langle n \vert$$\end{document} P ^ = ∑ n = 0 ∣ n ⟩ ⟨ n ∣ to the full Hamiltonian (see Fig. a).

    Techniques: