Skip to main content

BIHC: Beam-Induced Heating Computation package

Project description

BIHC

Beam Induced Heating Computation (BIHC) tool is a package that allows the estimation of the dissipated power due to the passage of a particle beam inside an accelerator component.

The dissipated power value depends on the characteristics of the particle beam (beam spectrum and intensity) and on the characteristics of the consdiered accelerator component (beam-coupling impedance).

Check :file_folder: examples/ on how to use!

Documentation is avaiable in bihc.readthedocs.io

Fist release coming soon (January 2023)

Installation

This section explains how to set up the environment to start using BIHC package for power loss computations.

Installation in CERN lxplus

Connect to CERN lxplus via ssh. Avoid connecting to lxplus8, the code will induce in Kerberos issues. Kerberos logging will expire 4h after each connection and needs to be renewed.

ssh -XY user@lxplus.cern.ch

In your /user or /work directory, do:

# If miniconda is not installed
# Get, install and activate miniconda
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh 
source miniconda3/bin/activate

# Get standard packages 
# (to have all spark functionalities pandas needs to be installed before pytimber)
pip install numpy scipy matplotlib ipython pandas

# Change python package index to CERN index
pip install git+https://gitlab.cern.ch/acc-co/devops/python/acc-py-pip-config.git

# Install pytimber
pip install pytimber

# Change python package index back to default
pip uninstall acc-py-pip-config

Test the installation with

$ ipython
import pytimber
ldb = pytimber.LoggingDB(source="nxcals") 
ldb.search('LHC%BEAM_ENERGY%')
ldb.get(ldb.search('LHC%BEAM_ENERGY%')[0], t1='2022-06-15 15:10:30.0000')

Setup Git in lxplus

git config --list

Look for user.name and user.email. If it is not yet set, run the following commands (which set the information for all your git repositories on lxplus)

git config --global user.name "Your Name"
git config --global user.email "your.name@cern.ch"

There are other settings recommended as well:

git config --global push.default simple
git config --global http.postBuffer 1048576000
git config --global http.emptyAuth true # Required on CC7

The push setting makes some operations more straightforward. The second addresses an issue with large pushes via plain http or krb5. The third addresses an issue with libcurl and krb5.

Developers: Download BIHC repository

git clone https://github.com/LeonardoSito/BIHC.git

Users: pip install

(Available soon)

pip install bihc

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bihc-0.0.8.9.tar.gz (19.7 kB view details)

Uploaded Source

Built Distribution

bihc-0.0.8.9-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file bihc-0.0.8.9.tar.gz.

File metadata

  • Download URL: bihc-0.0.8.9.tar.gz
  • Upload date:
  • Size: 19.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.10

File hashes

Hashes for bihc-0.0.8.9.tar.gz
Algorithm Hash digest
SHA256 802e38e01ce2d7e94c79a1b235fbd666c5db7196e14d375edffe225416708c62
MD5 a054b1ef6879ce2577f3a2801733b1fb
BLAKE2b-256 3c14580bcd8584f4e50fc7ce3e3aac696fc009c14bc5132f7f81663c3ab7071d

See more details on using hashes here.

File details

Details for the file bihc-0.0.8.9-py3-none-any.whl.

File metadata

  • Download URL: bihc-0.0.8.9-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.10

File hashes

Hashes for bihc-0.0.8.9-py3-none-any.whl
Algorithm Hash digest
SHA256 a38a251b070f4aac2b426d27166b7a075a7007c283438f83517cd2f069048ecb
MD5 5532103e296f11c020193615a6c62ba3
BLAKE2b-256 2511ae13cb4d01bc37c14a5a5266d44a19f84d3832c58242ac88a0d75ae00fb2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page