SecDec
Sophia Borowka, Gudrun Heinrich, Stephan Jahn, Stephen Jones, Matthias Kerner, Johannes Schlenk, Tom Zirke
A program to evaluate dimensionally regulated parameter integrals numerically
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The first release version of pySecDec can be downloaded as pySecDec1.0.tar.gz. The manual is available here.
See also the corresponding paper arXiv:1703.09692.
Version 3.0 of the program can be downloaded as SecDec3.0.9.tar.gz. The manual for this version is available here.
A beta version of the program where the algebraic part is implemented in python can be downloaded as pySecDec0.9.tar.gz.
The manual for pySecDec0.9 is available online in html format and downloadable as pySecDec0.9.pdf.
The previously uploaded alpha version is still available as pySecDec0.1.1.tar.gz. Its documentation can be downloaded as pySecDec0.1.1.pdf.
To install the program SecDec3.0.9:
 tar xzvf SecDec3.0.9.tar.gz
 cd SecDec3.0.9
 make
The program Normaliz needed by the geometric decomposition strategies can be obtained from Normaliz 2.10.1
Documentation and examples are contained in the program and are described e.g. in Comput.Phys.Commun. 196 (2015) 470491 [arXiv:1502.06595]
and in Comput.Phys.Commun. 184 396408 (2013), Comput.Phys.Commun. 184 25522561 (2013) and in Sophia Borowka's PhD thesis
Please send bug reports, comments, etc to secdec@projects.hepforge.org
New features in version 3.0 are:
 Inclusion of two new sector decomposition strategies avoiding an infinite recursion
 New user interface
 Improvements in speed, e.g. inclusion of fast 1dimensional integrator
 Possibility to specify inverse and linear propagators, divergent prefactors and dummy functions depending on the dimensional regulator
 Choice of numerical integrators extended to Mathematica's NIntegrate
 Omitting the primary sector decomposition is now possible. A user can now compute Feynman parameter integrals which need no primary sector decomposition for arbitrary kinematics.
 User friendliness improved by printing the maximal error probability to the result files.
 Computation of integrals of in principle arbitrary rank possible
 The C++ compile times are reduced.

Multiscale loop integrals can be evaluated without restriction to the Euclidean region
Warning: For kinematic points near a pinch singularity, the result can depend critically on the settings for the numerical integration. In this case the user should watch carefully the convergence of the Monte Carlo integration. In case of very bad convergence the error given by the Monte Carlo program may underestimate considerably the true error.  Parallelisation of the algebraic part in Mathematica possible if several cores are available
 Newest version of the integration routines from the Cuba library are included
 Possibility to loop over ranges of parameter values is automated
 Possibility to loop over sets of numerical constants
 Inclusion of implicit functions possible in the algebraic part for general functions
 Option to create C++ instead of fortran functions
 Integration routines from the Cuba library are included
 Parallelisation of the decomposition in Mathematica possible if several cores are available
 Correction of a bug: in the combination "togetherflag=1" and "primarysectors" and "multiplicities" nonempty, the prefactor was multiplied several times
An older version of the program (v 1.1.1) can be downloaded as SecDec1.1.1.tar.gz
For further reading:
 documentation and examples of SecDec version 1 can be found in Comput.Phys.Commun. 182: 1566 (2011)
[arXiv: 1011.5493 hepph]  review article on sector decomposition
Int.J.Mod.Phys.A23:14571486 (2008)
 original article on multiloop integrals Nucl.Phys.B585:741 (2000)
last updated: Mar 29, 2017