IPAC2011 - List of Authors (Levinsen, Y.I.)

Paper	Title	Page
TUPZ012	Machine-induced Showers entering the ATLAS and CMS Detectors in the LHC	1825
	R. Bruce, R.W. Assmann, V. Boccone, H. Burkhardt, F. Cerutti, A. Ferrari, M. Huhtinen, W. Kozanecki, Y.I. Levinsen, A. Mereghetti, A. Rossi, Th. Weiler CERN, Geneva, Switzerland N.V. Mokhov Fermilab, Batavia, USA
	One source of experimental background in the LHC is showers induced by particles hitting the upstream collimators or particles that have been scattered on the residual gas. We estimate the flux and distribution of particles entering the ATLAS and CMS detectors through FLUKA simulations originating from tertiary collimator hits and inelastic beam-gas interactions. Comparisons to MARS results are also presented.

TUPZ020	Fill Analysis and Experimental Background Observations in the LHC	1846
	Y.I. Levinsen, H. Burkhardt, A. Macpherson, M. Pereira, S.X. Roe CERN, Geneva, Switzerland
	Funding: Presenting author funded by the University of Oslo In this work we look at experimental background under different conditions for the early 2011 running. We will discuss the observations in the context of the residual gas pressure, beam halo, and cross-talk between experiments. We have developed a modular fill analysis tool which automatically extracts data and analyses each fill in the LHC. All generated and extracted information is stored for outside use. The tool is applied to aid us in the work presented here.

WEPC119	PYMAD – Integration of MADX in PYTHON	2289
	K. Fuchsberger, Y.I. Levinsen CERN, Geneva, Switzerland
	The de-facto standard software for modeling accelerator lattices at CERN is MADX (Methodical Accelerator Design), which is implemented and still maintained in the programming languages C and FORTRAN. For detailed processing, analysis and plotting of MADX results, other programming languages are often used. One very popular scripting language is PYTHON, which is widely used in the physics community and provides powerful numerical libraries and plotting routines. Therefore, access to MADX models from PYTHON is a common demand. Currently, several possible concepts for the realization of such a project are evaluated, including direct access to MADX via CYTHON (C extension of PYTHON) or the re-usage of the existing JMAD Java libraries, benefiting from the already available model-definitions. A first prototype is already in use and the release as an open source project is in preparation. This paper presents the concepts and the current status of the project, as well as some usage examples.

WEPC120	Status of JMAD, the JAVA-API for MADX	2292
	K. Fuchsberger, X. Buffat, Y.I. Levinsen, G.J. Müller CERN, Geneva, Switzerland
	MADX (Methodical Accelerator Design) is the de-facto standard software for modeling accelerator lattices at CERN. This feature-rich software package is implemented and still maintained in the programming languages C and FORTRAN. Nevertheless the controls environment of modern accelerators at CERN, e.g., of the LHC, is dominated by JAVA applications. A lot of these applications, for example, for lattice measurement and fitting, require a close interaction with the numerical models, which are all defined by the use of the proprietary MADX scripting language. To close this gap an API to MADX for the JAVA programming language (JMAD) was developed. JMAD was first presented to the public about one year ago. In the meantime, a number of improvements were done, and additional MADX features (e.g., tracking) were made available for JAVA applications. Additionally, the graphical user interface was improved, and the first release as open source software is in reach. This paper describes the current status and some new features of the project, as well as some usage examples.

Paper

Title

Page

Machine-induced Showers entering the ATLAS and CMS Detectors in the LHC

1825

R. Bruce, R.W. Assmann, V. Boccone, H. Burkhardt, F. Cerutti, A. Ferrari, M. Huhtinen, W. Kozanecki, Y.I. Levinsen, A. Mereghetti, A. Rossi, Th. Weiler
CERN, Geneva, Switzerland
N.V. Mokhov
Fermilab, Batavia, USA

One source of experimental background in the LHC is showers induced by particles hitting the upstream collimators or particles that have been scattered on the residual gas. We estimate the flux and distribution of particles entering the ATLAS and CMS detectors through FLUKA simulations originating from tertiary collimator hits and inelastic beam-gas interactions. Comparisons to MARS results are also presented.

TUPZ020

Fill Analysis and Experimental Background Observations in the LHC

1846

Y.I. Levinsen, H. Burkhardt, A. Macpherson, M. Pereira, S.X. Roe
CERN, Geneva, Switzerland

Funding: Presenting author funded by the University of Oslo
In this work we look at experimental background under different conditions for the early 2011 running. We will discuss the observations in the context of the residual gas pressure, beam halo, and cross-talk between experiments. We have developed a modular fill analysis tool which automatically extracts data and analyses each fill in the LHC. All generated and extracted information is stored for outside use. The tool is applied to aid us in the work presented here.

WEPC119

PYMAD – Integration of MADX in PYTHON

2289

K. Fuchsberger, Y.I. Levinsen
CERN, Geneva, Switzerland

The de-facto standard software for modeling accelerator lattices at CERN is MADX (Methodical Accelerator Design), which is implemented and still maintained in the programming languages C and FORTRAN. For detailed processing, analysis and plotting of MADX results, other programming languages are often used. One very popular scripting language is PYTHON, which is widely used in the physics community and provides powerful numerical libraries and plotting routines. Therefore, access to MADX models from PYTHON is a common demand. Currently, several possible concepts for the realization of such a project are evaluated, including direct access to MADX via CYTHON (C extension of PYTHON) or the re-usage of the existing JMAD Java libraries, benefiting from the already available model-definitions. A first prototype is already in use and the release as an open source project is in preparation. This paper presents the concepts and the current status of the project, as well as some usage examples.

WEPC120

Status of JMAD, the JAVA-API for MADX

2292

K. Fuchsberger, X. Buffat, Y.I. Levinsen, G.J. Müller
CERN, Geneva, Switzerland

MADX (Methodical Accelerator Design) is the de-facto standard software for modeling accelerator lattices at CERN. This feature-rich software package is implemented and still maintained in the programming languages C and FORTRAN. Nevertheless the controls environment of modern accelerators at CERN, e.g., of the LHC, is dominated by JAVA applications. A lot of these applications, for example, for lattice measurement and fitting, require a close interaction with the numerical models, which are all defined by the use of the proprietary MADX scripting language. To close this gap an API to MADX for the JAVA programming language (JMAD) was developed. JMAD was first presented to the public about one year ago. In the meantime, a number of improvements were done, and additional MADX features (e.g., tracking) were made available for JAVA applications. Additionally, the graphical user interface was improved, and the first release as open source software is in reach. This paper describes the current status and some new features of the project, as well as some usage examples.