pomerol2triqs - Release 0.9

TRIQS 3.2 compatibility release

- Python
Published by krivenko over 2 years ago

pomerol2triqs - Release 0.8

This version exposes the 3-point fermion-boson susceptibility calculation functionality introduced in Pomerol 2.1.

- Python
Published by krivenko about 3 years ago

pomerol2triqs - Release 0.7

TRIQS 3.1 compatibility release

A few bugs in generated version.py, pomerol2triqsvars.sh and pomerol2triqs.modulefile have been fixed.

- Python
Published by krivenko about 4 years ago

pomerol2triqs - Release 0.6

Pomerol 2.0 compatibility release

Removed a constructor of PomerolED that took a list of integrals of motions. With Pomerol 2.0, sectors of Hamiltonians are revealed automatically.

- Python
Published by krivenko about 4 years ago

pomerol2triqs - Release 0.5

This release is compatible with TRIQS 3.0.x and Python 3 No changes functionality-wise.

- Python
Published by krivenko over 4 years ago

pomerol2triqs - Release 0.4

This is a TRIQS 2.2.x compatibility release. No features have been changes since v0.3.

Features

• Diagonalization of finite fermionic models with Hamiltonians written in terms of second quantization operators.
• Calculation of single-particle Green's functions: G(\tau), G(i\omega_n), G(\omega).
• Calculation of two-particle Green's functions: G(\omega;\nu,\nu') and G(\omega;\ell,\ell').
• Calculation of ensemble averages of quadratic operators, \langle c^\dagger_i c_j \rangle.
• Calculation of dynamic susceptibilities, \langle T c^\dagger_{i_1}(\tau) c_{j_1}(\tau) c^\dagger_{i_2}(0) c_{j_2}(0) \rangle.

Dependencies

• Pomerol exact diagonalization library (master branch).
• TRIQS library version 2.2.x.

- Python
Published by krivenko over 5 years ago

pomerol2triqs - Release 0.3

Initial release.

Features

• Diagonalization of finite fermionic models with Hamiltonians written in terms of second quantization operators.
• Calculation of single-particle Green's functions: G(\tau), G(i\omega_n), G(\omega).
• Calculation of two-particle Green's functions: G(\omega;\nu,\nu') and G(\omega;\ell,\ell').
• Calculation of ensemble averages of quadratic operators, \langle c^\dagger_i c_j \rangle.
• Calculation of dynamic susceptibilities, \langle T c^\dagger_{i_1}(\tau) c_{j_1}(\tau) c^\dagger_{i_2}(0) c_{j_2}(0) \rangle.

Dependencies

• Pomerol exact diagonalization library (master branch).
• TRIQS library version 2.1.0.

- Python
Published by krivenko over 6 years ago