JLab, Newport News, Virginia, USA
RadiaSoft LLC, Boulder, Colorado, USA
BNL, Upton, New York, USA
DESY, Hamburg, Germany
Cornell University, Ithaca, New York, USA
Tech-X, Boulder, Colorado, USA
SLAC, Menlo Park, California, USA
ANL, Lemont, Illinois, USA
ODU, Norfolk, Virginia, USA
Cornell University (CLASSE), Cornell Laboratory for Accelerator-Based Sciences and Education, Ithaca, New York, USA
Douglas Consulting, York, Virginia, USA
Muons, Inc, Illinois, USA
Northern Illinois University, DeKalb, Illinois, USA
Stanford University, Stanford, California, USA
Texas A&M University, College Station, USA
Fermilab, Batavia, Illinois, USA
FRIB, East Lansing, Michigan, USA
CalPoly, San Luis Obispo, California, USA
MIT, Cambridge, Massachusetts, USA
LBNL, Berkeley, California, USA
Dimtel, Redwood City, California, USA
NSCL, East Lansing, Michigan, USA
JLab, Newport News, Virginia, USA
The JLab Simulation Package on Electron Cooling (JSPEC) is an open source software developed at Jefferson Lab for electron cooling and intrabeam scattering (IBS) simulations. IBS is an important factor that leads to the growth of the beam emittance and hence the reduction of the luminosity in a high density ion collider ring. Electron cooling is an effective measure to overcome the IBS effect. Although JSPEC is initiated to fulfill the simulation needs in JLab Electron Ion Collider project, it can be used as a general design tool for other accelerators. JSPEC provides various models of the ion beam and the electron beam and it calculates the expansion rate and simulates the evolution of the ion beam under the IBS and/or electron cooling effect. In this report, we will give a brief introduction of JSPEC and then present the latest code development progress of JSPEC, including new models, algorithms, and the user interface.
JLab, Newport News, Virginia, USA
Truncated power series algebra (TPSA) or differential algebra (DA) is often used by accelerator physicists to generate a transfer map of a dynamic system. The map then can be used in dynamic analysis of the system or in particle tracking study. TPSA/DA can also be used in some fast algorithms, eg. the fast multipole method, for collective effect simulation. This paper reports a new TPSA/DA library written in C++. This library is developed based on Dr. Lingyun Yang’s TPSA code, which has been used in MAD-X and PTC. Compared with the original code, the updated version has the following changes: (1) The memory management has been revised to improve the efficiency; (2) A new data type of DA vector is defined and supported by most frequently used operators; (3) Support of inverse trigonometric functions and hyperbolic functions for the DA vector has been added; (4) function composition is revised for better efficiency; (5) a python wrapper is provided. The code is hosted at github and available to the public.