core.elements.diagnostic module

Define Diagnostic.

As for now, diagnostics are not used by LightWin. However, LightWin can add diagnostics (as well as ADJUST) to the final .dat in order to perform a “pass beauty”.

Note

Functionalities still under implementation. In particular, the number of attributes were not checked.

Note

This is TraceWin’s equivalent of Objective.

class DiagAchromat(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure achromat setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 5
class DiagBeta(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure beam beta.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 6
class DiagCurrent(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure current.

_abc_impl = <_abc._abc_data object>
class DiagDBeta(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta beam beta.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class DiagDCurrent(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta current.

_abc_impl = <_abc._abc_data object>
class DiagDDivergence(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta divergences.

_abc_impl = <_abc._abc_data object>
class DiagDEnergy(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure difference between beam energy and perfect linac energy.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 3
class DiagDPSize2(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta divergence between two positions.

_abc_impl = <_abc._abc_data object>
class DiagDPhase(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure difference between beam phase and perfect linac phase.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 2
class DiagDPosition(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta position.

_abc_impl = <_abc._abc_data object>
class DiagDSize(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta size.

_abc_impl = <_abc._abc_data object>
class DiagDSize2(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta size between two positions.

__init__(line: list[str], dat_idx: int, name: str = '', **kwargs: str) None

Force an element with null-length, with no index.

_abc_impl = <_abc._abc_data object>
is_implemented: bool = True
n_attributes: int | range | Collection = (3, 4)
class DiagDSize2FWHM(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta full width at half maximum between two positions.

_abc_impl = <_abc._abc_data object>
class DiagDSize3(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta phase spread between two positions.

__init__(line: list[str], dat_idx: int, name: str = '', **kwargs: str) None

Force an element with null-length, with no index.

_abc_impl = <_abc._abc_data object>
is_implemented: bool = True
n_attributes: int | range | Collection = (3, 4)
class DiagDSize4(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure something?

_abc_impl = <_abc._abc_data object>
class DiagDSizeFWHM(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure delta full width at half maximum.

_abc_impl = <_abc._abc_data object>
class DiagDTwiss(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Make equal two beam Twiss parameters between two positions or more.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 7
class DiagDTwiss2(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Make equal transverse Twiss parameters at diagnostic position.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 3
class DiagDivergence(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure divergences.

_abc_impl = <_abc._abc_data object>
class DiagEmit(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure RMS emittance setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class DiagEmit99(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure 99% emittance setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class DiagEnergy(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure energy.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 3
class DiagHalo(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure halo setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class DiagLuminosity(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure luminosity.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 3
class DiagPhase(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure phase.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 2
class DiagPhaseAdv(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure beam phase advance.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class DiagPosition(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure position.

_abc_impl = <_abc._abc_data object>
is_implemented: bool = True
n_attributes: int | range | Collection = 4
class DiagSeparation(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure beam separation setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 6
class DiagSetMatrix(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure transfer matrix setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 6
class DiagSize(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure sizes.

_abc_impl = <_abc._abc_data object>
class DiagSizeFWHM(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure full width at half maximum.

_abc_impl = <_abc._abc_data object>
class DiagSizeMax(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Limit beam size max.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 6
class DiagSizeMin(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: DiagSizeMax

Limit beam size min.

_abc_impl = <_abc._abc_data object>
class DiagSizeP(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure divergences.

_abc_impl = <_abc._abc_data object>
class DiagTwiss(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure beam Twiss parameters settings.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 7
class DiagWaist(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Diagnostic

Measure waist setting.

_abc_impl = <_abc._abc_data object>
n_attributes: int | range | Collection = 4
class Diagnostic(line: list[str], dat_idx: int, name: str = '', **kwargs: str)

Bases: Element

A dummy object.

__init__(line: list[str], dat_idx: int, name: str = '', **kwargs: str) None

Force an element with null-length, with no index.

_abc_impl = <_abc._abc_data object>
_separate_weight(line: list[str]) tuple[list[str], float]

Detect if a weight is present, separate if from args if so.

base_name = 'D'
increment_lattice_idx = False
is_implemented: bool = False