Source code for at.physics.revolution

"""Revolution frequency, momentum compaction factor, slip factor"""
from __future__ import annotations

__all__ = ["get_mcf", "get_slip_factor", "get_revolution_frequency"]

import numpy as np

from .orbit import find_orbit4
from ..constants import clight
from ..lattice import DConstant, Lattice, check_6d, get_s_pos
from ..tracking import internal_lpass


[docs] @check_6d(False) def get_mcf( ring: Lattice, dp: float = 0.0, keep_lattice: bool = False, fit_order: int = 1, n_step: int = 2, **kwargs, ) -> float: r"""Compute the momentum compaction factor :math:`\alpha` Parameters: ring: Lattice description (:pycode:`ring.is_6d` must be :py:obj:`False`) dp: Momentum deviation keep_lattice: Assume no lattice change since the previous tracking. fit_order: Maximum momentum compaction factor order to be fitted. Default to 1, corresponding to the first-order momentum compaction factor. n_step: Number of different calculated momentum deviations to be fitted with a polynomial. Default to 2. Keyword Args: DPStep (float): Momentum step size. Default: :py:data:`DConstant.DPStep <.DConstant>` Returns: mcf (float/array): Momentum compaction factor :math:`\alpha` up to the order *fit_order*. Returns a float if *fit_order==1* otherwise returns an array. """ if n_step < 2 * fit_order: raise ValueError( "Low number of steps, it is advised to have n_step >= 2*fit_order" + " for a better fit." ) dp_step = kwargs.pop("DPStep", DConstant.DPStep) dp_samples = np.linspace(-dp_step / 2, dp_step / 2, n_step) fp_i = tuple( find_orbit4(ring, dp=dp + dp_i, keep_lattice=keep_lattice)[0] for dp_i in dp_samples ) fp = np.stack(fp_i, axis=0).T # generate a Fortran contiguous array b = np.squeeze(internal_lpass(ring, fp, keep_lattice=True), axis=(2, 3)) ring_length = get_s_pos(ring, len(ring)) p = np.polynomial.Polynomial.fit(b[4], b[5], deg=fit_order).convert().coef alphac = p[1:] / ring_length[0] return alphac[0] if len(alphac) < 2 else alphac
[docs] def get_slip_factor(ring: Lattice, **kwargs) -> float: r"""Compute the slip factor :math:`\eta=1/\gamma^2-\alpha` Parameters: ring: Lattice description (:pycode:`ring.is_6d` must be :py:obj:`False`) Keyword Args: dp (float): Momentum deviation DPStep (float): Momentum step size. Default: :py:data:`DConstant.DPStep <.DConstant>` Returns: eta (float): Slip factor :math:`\eta` """ gamma = ring.gamma etac = 1.0 / gamma / gamma - get_mcf(ring, **kwargs) return etac
[docs] def get_revolution_frequency( ring: Lattice, dp: float = None, dct: float = None, df: float = None ) -> float: """Compute the revolution frequency of the full ring [Hz] Parameters: ring: Lattice description dp: Momentum deviation. Defaults to :py:obj:`None` dct: Path lengthening. Defaults to :py:obj:`None` df: Deviation of RF frequency. Defaults to :py:obj:`None` Returns: frev: Revolution frequency [Hz] """ lcell = ring.cell_length cell_frev = ring.beta * clight / lcell if dct is not None: cell_frev *= lcell / (lcell + dct) elif dp is not None: # Find the path lengthening for dp rnorad = ring.disable_6d(copy=True) if ring.is_6d else ring orbit = internal_lpass(rnorad, rnorad.find_orbit4(dp=dp)[0]) dct = np.squeeze(orbit)[5] cell_frev *= lcell / (lcell + dct) elif df is not None: cell_frev += df / ring.cell_harmnumber return cell_frev / ring.periodicity
Lattice.mcf = property(get_mcf, doc="Momentum compaction factor") Lattice.slip_factor = property(get_slip_factor, doc="Slip factor") Lattice.get_mcf = get_mcf Lattice.get_slip_factor = get_slip_factor Lattice.get_revolution_frequency = get_revolution_frequency