Integral-Transform-Generated Basis Sets
- 1 November 1971
- journal article
- conference paper
- Published by AIP Publishing in The Journal of Chemical Physics
- Vol. 55 (9) , 4594-4600
- https://doi.org/10.1063/1.1676794
Abstract
Two alternative versions of a procedure for generating new basis sets via the integral‐transform (IT) method are outlined. The first version (fixed shape function, set of primitive functions) is tested on 3‐electron and 4‐electron atomic systems (ground state) and the 21P excited state of He. The set of primitive functions are either hydrogenic or Slater orbitals and the shape function is the square pulse that generates the Hulthèn transforms. In these calculations, a conjecture about the dependence of the parameters of higher principal quantum number (n) IT orbitals on the parameters of lower n IT orbitals is also tested and substantiated. The second version (single primitive function, set of shape functions) is tested on the 21P state of He. The primitive function is a 1s Gaussian function, the set of shape functions is related to the set of generalized Laguerre polynomials . The first member of this set gives kv(qr), the reduced modified Bessel function of the second kind, already used in ground state atomic and molecular calculations. The results are analyzed critically.
Keywords
This publication has 7 references indexed in Scilit:
- Integral Transform Gaussian Wavefunctions for H32+ and H3+The Journal of Chemical Physics, 1970
- Integral-Transform Gaussian Functions for Heliumlike SystemsJournal of Mathematical Physics, 1970
- Systematic Construction of Correlated Many-Particle Integral-Transform Trial Functions and Multicenter Molecular OrbitalsPhysical Review Letters, 1969
- Numerical integration of analytic functionsJournal of Computational Physics, 1969
- Integral transform functions. A simple non-exponential orbital for the He series.Chemical Physics Letters, 1969
- Integral transform functions. A new class of approximate wave functionsChemical Physics Letters, 1968
- An efficient method for finding the minimum of a function of several variables without calculating derivativesThe Computer Journal, 1964