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irnl_rdt_correction's Introduction

IRNL RDT Correction

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Performs local correction of the Resonance Driving Terms (RDTs) in the Insertion Regions (IRs) based on the principle described in [1] with the addition of correcting feed-down and using feed-down to correct lower order RDTs. Details can be found in [2].

Documentation

Installing

This package is Python 3.7+ compatible, and can be installed through pip:

python -m pip install irnl-rdt-correction

After installing, scripts can be run with either python -m irnl_rdt_correction --FLAG ARGUMENT or by calling the Python files directly.

For development purposes, we recommend creating a new virtual environment and installing from VCS in editable mode with all extra dependencies:

git clone https://github.com/pylhc/irnl_rdt_correction
python -m pip install --editable "irnl_rdt_correction[all]"

Main Script

License

This project is licensed under the MIT License - see the LICENSE file for details.

References

[1] : O. Bruening et al., Dynamic aperture studies for the LHC separation dipoles. (2004) https://cds.cern.ch/record/742967

[2] : J. Dilly and R. Tomás, A flexible nonlinear Resonance Driving Term based Correction Algorithm with feed-down. (2022) note.pdf

irnl_rdt_correction's People

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irnl_rdt_correction's Issues

[Bug]: ModuleNotFoundError: No module named 'utilities'

Documentation

  • Yes

Operating System

All

Python Version

All

Package Version

1.1.1

Bug Description

When running the package as module it crashes with ModuleNotFoundError: No module named 'utilities'.

Steps to Reproduce

No response

Relevant output

ModuleNotFoundError: No module named 'utilities'

Possible Fix Implementation

Absolute import in __main__()

[Bug]: Deprecation warning: incompatible dtype

Documentation

  • Yes

Operating System

All

Python Version

All

Package Version

1.1.1

Bug Description

When running the correction calculation, a pandas deprecation warning pops up.

Steps to Reproduce

No response

Relevant output

FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value '-0.039908794432020646' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
  optics.twiss.loc[corrector.name, corrector.strength_component] = sign * corrector.value

Possible Fix Implementation

Set dtype of column to float.

[Bug]: Wrong sign for starting values in Beam 2 and Beam 4

Documentation

  • Yes

Operating System

all

Python Version

all

Package Version

1.0.1

Bug Description

When using beam 2 or beam 4 and the correctors already have values in the twiss, these values are used as starting values. But due to the anti-symmetry of some orders, the value actually have the wrong sings for these orders.

Steps to Reproduce

No response

Relevant output

No response

Possible Fix Implementation

No response

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