====== Directional X-ray Spectroscopy, Potential Bug ====== ;;# asked by [[mailto:ccardot3@uw.edu|Charles Cardot]] (2023/04/07 23:56) ;;# == == Hello, I have been experimenting with calculating direction dependent x-ray emission using Quanty and the DFT+MLFT framework. However, I seem to be running into an issue with the mean field operators calculated from the Tight Binding (TB) object. The directional dependence is encoded in the DFT step, where I distort the crystal lattice slightly (~2%) along a particular axis. # lattice constants; @l@ 4.27633759 4.18633759 4.18633759 # set axis angles @a@ 90. 90. 90. # setup Wyckoff positions @n@2 # Now, give list of ALL !!! Wyckoff positions. @1@ Ni @ 0.00000000 0.00000000 0.00000000 @2@ O @ 0.00000000 0.00000000 0.50000000 When I stretch along the a-axis and go through the regular Wannierization process to create a tight binding Hamiltonian, I get an HDFT that looks like a_stretched_HDFT: https://drive.google.com/file/d/1sE72v2rbbPM9Bof4Hg_CgNgvqmtjKjYY/view?usp=share_link which makes sense in the context of the distorted octahedral crystal field. The //xy// and //xz// orbitals are still degenerate, while the //yz// is now lower energy. Also the //z^2-r^2// and //x^2-y^2// orbitals become mixed. The MLFT calculation within Quanty proceeds much the same way as described in the 2022 and 2019 Heidelberg tutorials for DFT + MLFT, where the mean field components Coulomb interaction is subtracted from HDFT to avoid double counting. The full code that I am running can be found here (https://drive.google.com/drive/folders/1G0iSTfIMT8i39CWWg1StEs5Kj26ZYQ1W?usp=share_link), but an excerpt is shown below. print("--Define Intermediate State Hamiltonian--\n") --Hamiltonian = HDFT + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 Hamiltonian = HDFT - F0dd * OppF0MFDFT - F2dd * OppF2MFDFT - F4dd * OppF4MFDFT Hamiltonian = Hamiltonian + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 Hamiltonian = Hamiltonian + zeta_3d * Oppldots_3d Hamiltonian = Hamiltonian + F0sd*OppF0sd Hamiltonian = Hamiltonian/2 Hamiltonian = Hamiltonian + ConjugateTranspose(Hamiltonian) esinter = -nd*Usd edinter = -((-20*Delta + 19*nd*Udd+nd*nd*Udd+40*Usd)/(2*(10+nd))) eLinter = nd*((1+nd)*Udd/2 - Delta + 2*Usd)/(10+nd) OperatorSetTrace(Hamiltonian,esinter,Index["Ni_1s"]) OperatorSetTrace(Hamiltonian,edinter,Index["Ni_3d"]) OperatorSetTrace(Hamiltonian,eLinter,Index["Ligand_d"]) print("--Define XES-Hamiltonian--\n") --XESHamiltonian = HDFT + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 XESHamiltonian = HDFT - F0dd * OppF0MFDFT - F2dd * OppF2MFDFT - F4dd * OppF4MFDFT XESHamiltonian = XESHamiltonian + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 XESHamiltonian = XESHamiltonian + zeta_3d * Oppldots_3d XESHamiltonian = XESHamiltonian + zeta_2p * Oppldots_2p XESHamiltonian = XESHamiltonian + F0pd * OppUpdF0 + F2pd * OppUpdF2 + G1pd * OppUpdG1 + G3pd * OppUpdG3 XESHamiltonian = XESHamiltonian/2 XESHamiltonian = XESHamiltonian + ConjugateTranspose(XESHamiltonian) epfinal = -nd*Upd edfinal = -((-20*Delta + 19*nd*Udd + nd*nd*Udd + 120*Upd)/(2*(10 + nd))) eLfinal = nd*(-2*Delta + Udd + nd*Udd + 12*Upd)/(2*(10 + nd)) OperatorSetTrace(XESHamiltonian,epfinal,Index["Ni_2p"]) OperatorSetTrace(XESHamiltonian,edfinal,Index["Ni_3d"]) OperatorSetTrace(XESHamiltonian,eLfinal,Index["Ligand_d"]) print("--Compute eigenstates--\n") -- we now can create the lowest Npsi eigenstates: Npsi=6 StartRestrictions = {NFermi, 0, {DeterminantString(NFermi,Index["Ni_1s"]),1,1}, {DeterminantString(NFermi,Index["Ni_3d"],Index["Ligand"]),16+nd,16+nd}, {DeterminantString(NFermi,Index["Ni_2p"]),6,6}} psiList = Eigensystem(Hamiltonian, StartRestrictions, Npsi, {{'Zero',1e-12},{'Epsilon',1e-12}}) psiList = Chop(psiList) print(StartRestrictions) Npsiline = {} for i=1,Npsi,1 do table.insert(Npsiline,1) end print("Npsiline") print(Npsiline) print("--Create the Spectra--\n") Emin = -50 Emax = 50 NE= 50000 -- Constant Lorentzian Broadening -- ------------------------------------ Gamma = 0.1 ------------------------------------ ----------- For Sticks ------------- Spectra_z = CreateSpectra(XESHamiltonian, TXESzdag, psiList, {{"Emin",Emin}, {"Emax",Emax}, {"NE",NE}, {"Gamma",Gamma}}) Spectra_x = CreateSpectra(XESHamiltonian, TXESxdag, psiList, {{"Emin",Emin}, {"Emax",Emax}, {"NE",NE}, {"Gamma",Gamma}}) Spectra_y = CreateSpectra(XESHamiltonian, TXESydag, psiList, {{"Emin",Emin}, {"Emax",Emax}, {"NE",NE}, {"Gamma",Gamma}}) Spectra_z.Broaden(0, 1.9) Spectra_x.Broaden(0, 1.9) Spectra_y.Broaden(0, 1.9) Spectra_z = Spectra.Sum(Spectra_z,Npsiline) Spectra_x = Spectra.Sum(Spectra_x,Npsiline) Spectra_y = Spectra.Sum(Spectra_y,Npsiline) Spectra_z.Print({{"file", "XES_zpol.dat"}}) Spectra_x.Print({{"file", "XES_xpol.dat"}}) Spectra_y.Print({{"file", "XES_ypol.dat"}}) print("Finished") The plotted output looks like XES_including_MFDFT: https://drive.google.com/file/d/1hYutZdeujtK8lohFPPD7sZ-7z5EN4asl/view?usp=share_link where clearly the x, y, and z polarized emissions are different. Given that the distortion is along the a-axis, I expect the y and z spectra to be identical, with the x spectra being slightly different. In investigating this, I noticed that omitting the subtraction of the Mean Field DFT contribution, print("--Define Intermediate State Hamiltonian--\n") Hamiltonian = HDFT + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 --Hamiltonian = HDFT - F0dd * OppF0MFDFT - F2dd * OppF2MFDFT - F4dd * OppF4MFDFT --Hamiltonian = Hamiltonian + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 Hamiltonian = Hamiltonian + zeta_3d * Oppldots_3d Hamiltonian = Hamiltonian + F0sd*OppF0sd Hamiltonian = Hamiltonian/2 Hamiltonian = Hamiltonian + ConjugateTranspose(Hamiltonian) esinter = -nd*Usd edinter = -((-20*Delta + 19*nd*Udd+nd*nd*Udd+40*Usd)/(2*(10+nd))) eLinter = nd*((1+nd)*Udd/2 - Delta + 2*Usd)/(10+nd) OperatorSetTrace(Hamiltonian,esinter,Index["Ni_1s"]) OperatorSetTrace(Hamiltonian,edinter,Index["Ni_3d"]) OperatorSetTrace(Hamiltonian,eLinter,Index["Ligand_d"]) print("--Define XES-Hamiltonian--\n") XESHamiltonian = HDFT + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 --XESHamiltonian = HDFT - F0dd * OppF0MFDFT - F2dd * OppF2MFDFT - F4dd * OppF4MFDFT --XESHamiltonian = XESHamiltonian + F0dd * OppF0 + F2dd * OppF2 + F4dd * OppF4 XESHamiltonian = XESHamiltonian + zeta_3d * Oppldots_3d XESHamiltonian = XESHamiltonian + zeta_2p * Oppldots_2p XESHamiltonian = XESHamiltonian + F0pd * OppUpdF0 + F2pd * OppUpdF2 + G1pd * OppUpdG1 + G3pd * OppUpdG3 XESHamiltonian = XESHamiltonian/2 XESHamiltonian = XESHamiltonian + ConjugateTranspose(XESHamiltonian) epfinal = -nd*Upd edfinal = -((-20*Delta + 19*nd*Udd + nd*nd*Udd + 120*Upd)/(2*(10 + nd))) eLfinal = nd*(-2*Delta + Udd + nd*Udd + 12*Upd)/(2*(10 + nd)) OperatorSetTrace(XESHamiltonian,epfinal,Index["Ni_2p"]) OperatorSetTrace(XESHamiltonian,edfinal,Index["Ni_3d"]) OperatorSetTrace(XESHamiltonian,eLfinal,Index["Ligand_d"]) causes the issue to go away and the spectra exhibits the expected behavior, XES_excluding_MFDFT: https://drive.google.com/file/d/157Vyqxn2Ld20tajT0w3anxgFYQB9p8xu/view?usp=share_link, with the y and z polarized emission lying exactly on top of each other, and the x emission being distinct from the other two directions. What this tells me is that the crystal structure that is reflected in the tight binding Hamiltonain, HDFT, is indeed correct, and produces the expected directional dependence. However, something about the Coulomb correction is not behaving as expected. I'm not sure if this is an issue of numerical accuracy (the distortion is small) or a potential bug in the implementation of the MeanFieldOperator. Any help that can be provided would be much appreciated. ~~DISCUSSION|Answers~~