Tools for data analysis and MC simulations in exotic nuclear experiments. SIMONE project .

1. Tools for data analysis and MC simulations in exotic nuclear experiments. SIMONE project. http://aculina.jinr.ru/simone.htm R.S. Slepnev1, V. Chudoba1,2, P. Papka3, P.G. Sharov1, B. Hnatio4, S. Baraeva1, P. Jaluvkova1,2, A.G. Knyazev1 1 -- Joint Institute for Nuclear Research (JINR), Dubna, Russia 2 -- Institute of Physics, University of Silesia in Opava, Opava, Czech Republic 3 -- Stellenbosch University, Stellenbosch, Western Cape, South Africa 4 -- University of science and tehcnology, Krakov, Poland

2. Physics of Exotic Nuclei light nuclei (A<50) exotic structure, rare decay modes typical RIB's energies < 100 MeV/A a few detector types to disposal

3. Motivation There are many various experiments performed, but most of them are based on the same pattern. It means that you have some beam, fixed target and you need to detect reaction and decays products by some complex detector arrangement which subsequently result in sophisticated data analysis. Available tools designated for our field are either too specialized (such as SRIM, LISE++) or provide fundamental methods only and are intended for further developments of specific applications. Of course, you can develop your own software solution for each experiment, but much more efficient is to use some general-purpose tool that can be easily adopted by the user without necessarily modifying the source. We can find many common features of our experimental studies and both, the planning of an experiment and data processing consist of specific steps which are often standard repeated procedures. For example description of particles and their kinematics, detectors, particle tracking and so on many tasks can be generalized (simulations, some auxiliary methods for data analysis The main motivation of the SIMONE project is to save human power and time, and standardize the common procedures to reduce the possibility of bias and errors inherent to computer programming.

4. General scheme based on ROOT Data Analysis Framework optional use of alternative methods based on GEANT4, SRIM, ... libraries usable in ROOT CINT architecture is reflecting real course of actions as general as possible no need for programming for plenty of tasks

5. General scheme: Simulations • all essential actions can be fully formalized and • automatic user input • theoretical input • experimental setup description • SIMONE provides • primary event generation • detectors and materials handling • particle tracking • TTree's on output • simulated data of the same structure as • experimental

6. General scheme: Experimental branch • data analysis • unique for each experimental setup • often plagued with unforeseen situations • process of data analysis is identical for both experimental and simulated data

7. Functionality: Kinematic calculator 2 cornerstones: Calculation of kinematics can be solved either analytically or using MC method. However, the employment of the latter option is more convenient when one deals with multiparameter tasks. MC provides sufficient results and is much more efficient with respect to both difficulty and time requirements. The kinematical calculator itself consists of two major components: class serving for description of arbitrary particle and class modelling nuclear reaction. Class particle provide a set of methods to treat any particle properties, such as kinematical characteristics, atomic mass, charge and so on. Particles may be collected in class Reaction which is intended to manage particles and relativistic kinematical relations between them. Class Reaction distinguishes particles on input and output of the reaction and amongst others provide methods to transform particles into different coordinate systems, methods for generation of binary reactions, 2- and 3-body decays with uniform distribution in space volume are provided. We provide also interface for input of whatever external distributions. The kinematic methods can be used either on stage of simulation or can be employed for particles properties reconstruction during the experimental data analysis. p(6Li,n)6Be 6Be 3-body decay Elab [MeV/A] p(18Ne,d)17Ne 17Ne 3-body decay lab [degrees]

8. Functionality: Geometry some of the most common detectors implemented concept of parameterized detector classes whole detector is represented by one entity detector objects serve as data containers build geometry by assigning dimensions, materials, and position together with orientation in space detector setup visualisation

9. Functionality: Tracking All SIMONE elements of virtual setup possess methods to handle particle passing through it. When a particle enters detector, the interaction of the radiation with the detectors materials are taken into consideration and the momentum of the particle is altered. We may use two alternative algorithms for tracking and energy losses. They are either ROOT TGeo + various E-losses methods or optionally some external GENAT4 routines. Currently, only electromagnetic ionization of material by particle passing through is taken into account because it is major source of energy loss in the typical range of low energy nuclear physics. Afterwards, energy deposits are written into detector objects. ΔE [MeV] E [MeV]

10. Functionality: Tools for analysis too complex for just “click and wait” approach currently under development channels channels common steps are found and standardised detector calibrations auxiliary functions for particle identification RIB's diagnostics, beam projection on arbitrary plane ascertainment of hits in detectors particle trajectory reconstruction from trace in telescope particle energy reconstruction and handling with dead layers ΔE [MeV] E [MeV] E [MeV]

11. Functionality: Control and handling In order to make the SIMONE package as user friendly as possible and to ensure high level of generality, two different ways of object construction for the most important classes are given. The classical option is to create an object and then adjust its properties using standard Setter methods. A more convenient way is to set all parameters at once using externally stored configuration files which containes information on objects in a structured but easy editable and human readable format. The main advantages of these config files is that they provide intuitive interface between our libraries and external applications, especially for GUI. GUI was designed to help with setting up entire environment for simulation in a transparent and easy way. The introducing of GUI is a major step towards user friendliness. It also helps to have all parameters visible and editable in one place.

12. Summary SIMONE is intended for the low-energy nuclear physics community development of special tools started in an international collaboration many tasks isolated and routinized early version released Plans for future FLNR JINR iThemba LABS more development and validation diversification of calculation methods handling of ion optics testing on multiple platforms Silesian University AGH Cracow

13. Thank you for attention