Compare commits

..

4 Commits

Author SHA1 Message Date
panepucci 22fe41d4c2 310725 device file updated 2025-07-31 10:54:47 +02:00
panepucci 7f52cccb22 fe gui draft 2025-07-25 11:00:27 +02:00
panepucci 40feb0c7ed 240725 device file updated 2025-07-24 16:36:58 +02:00
gac-x10sa 6f3f0de4d8 Copy scan_history ui file from old deployment 2025-06-30 12:51:35 +02:00
35 changed files with 2978 additions and 6612 deletions
+2 -3
View File
@@ -2,9 +2,8 @@
# It is needed to track the repo template version, and editing may break things.
# This file will be overwritten by copier on template updates.
_commit: v1.2.2
_src_path: https://github.com/bec-project/plugin_copier_template.git
make_commit: false
_commit: v0.3.3
_src_path: https://gitea.psi.ch/bec/bec_plugin_copier_template.git
project_name: pxii_bec
widget_plugins_input:
- name: scan_history
-97
View File
@@ -1,97 +0,0 @@
name: CI for pxii_bec
on:
push:
pull_request:
workflow_dispatch:
inputs:
BEC_WIDGETS_BRANCH:
description: "Branch of BEC Widgets to install"
required: false
type: string
default: "main"
BEC_CORE_BRANCH:
description: "Branch of BEC Core to install"
required: false
type: string
default: "main"
OPHYD_DEVICES_BRANCH:
description: "Branch of Ophyd Devices to install"
required: false
type: string
default: "main"
BEC_PLUGIN_REPO_BRANCH:
description: "Branch of the BEC Plugin Repository to install"
required: false
type: string
default: "main"
PYTHON_VERSION:
description: "Python version to use"
required: false
type: string
default: "3.11"
permissions:
pull-requests: write
jobs:
test:
runs-on: ubuntu-latest
env:
QTWEBENGINE_DISABLE_SANDBOX: 1
QT_QPA_PLATFORM: "offscreen"
steps:
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: "${{ inputs.PYTHON_VERSION || '3.11' }}"
- name: Checkout BEC Core
uses: actions/checkout@v4
with:
repository: bec/bec
ref: "${{ inputs.BEC_CORE_BRANCH || 'main' }}"
path: ./bec
- name: Checkout Ophyd Devices
uses: actions/checkout@v4
with:
repository: bec/ophyd_devices
ref: "${{ inputs.OPHYD_DEVICES_BRANCH || 'main' }}"
path: ./ophyd_devices
- name: Checkout BEC Widgets
uses: actions/checkout@v4
with:
repository: bec/bec_widgets
ref: "${{ inputs.BEC_WIDGETS_BRANCH || 'main' }}"
path: ./bec_widgets
- name: Checkout BEC Plugin Repository
uses: actions/checkout@v4
with:
repository: bec/pxii_bec
ref: "${{ inputs.BEC_PLUGIN_REPO_BRANCH || github.head_ref || github.sha }}"
path: ./pxii_bec
- name: Install dependencies
shell: bash
run: |
sudo apt-get update
sudo apt-get install -y libgl1 libegl1 x11-utils libxkbcommon-x11-0 libdbus-1-3 xvfb
sudo apt-get -y install libnss3 libxdamage1 libasound2t64 libatomic1 libxcursor1
- name: Install Python dependencies
shell: bash
run: |
pip install uv
uv pip install --system -e ./ophyd_devices
uv pip install --system -e ./bec/bec_lib[dev]
uv pip install --system -e ./bec/bec_ipython_client
uv pip install --system -e ./bec/bec_server[dev]
uv pip install --system -e ./bec_widgets[dev,pyside6]
uv pip install --system -e ./pxii_bec
- name: Run Pytest with Coverage
id: coverage
run: pytest --random-order --cov=./pxii_bec --cov-config=./pxii_bec/pyproject.toml --cov-branch --cov-report=xml --no-cov-on-fail ./pxii_bec/tests/ || test $? -eq 5
@@ -34,4 +34,3 @@ to setup the prompts.
"""
# pylint: disable=invalid-name, unused-import, import-error, undefined-variable, unused-variable, unused-argument, no-name-in-module
init_positioned_devices()
@@ -3,12 +3,8 @@ Pre-startup script for BEC client. This script is executed before the BEC client
is started. It can be used to add additional command line arguments.
"""
import os
from bec_lib.service_config import ServiceConfig
import pxii_bec
def extend_command_line_args(parser):
"""
@@ -18,14 +14,3 @@ def extend_command_line_args(parser):
# parser.add_argument("--session", help="Session name", type=str, default="cSAXS")
return parser
def get_config() -> ServiceConfig:
"""
Create and return the ServiceConfig for the plugin repository
"""
deployment_path = os.path.dirname(os.path.dirname(os.path.dirname(pxii_bec.__file__)))
files = os.listdir(deployment_path)
if "bec_config.yaml" in files:
return ServiceConfig(config_path=os.path.join(deployment_path, "bec_config.yaml"))
else:
return ServiceConfig(redis={"host": "localhost", "port": 6379})
@@ -0,0 +1,194 @@
<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>Form</class>
<widget class="QWidget" name="Form">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>1801</width>
<height>1459</height>
</rect>
</property>
<property name="minimumSize">
<size>
<width>1801</width>
<height>1459</height>
</size>
</property>
<property name="windowTitle">
<string>Form</string>
</property>
<layout class="QVBoxLayout" name="verticalLayout">
<item>
<widget class="QTabWidget" name="tabWidget">
<property name="currentIndex">
<number>0</number>
</property>
<widget class="QWidget" name="tab">
<attribute name="title">
<string>Control Panel</string>
</attribute>
<layout class="QVBoxLayout" name="verticalLayout_4">
<item>
<widget class="QSplitter" name="splitter">
<property name="orientation">
<enum>Qt::Orientation::Horizontal</enum>
</property>
<widget class="QTabWidget" name="tabWidget_2">
<property name="currentIndex">
<number>0</number>
</property>
<widget class="QWidget" name="tab_4">
<attribute name="title">
<string>History</string>
</attribute>
<layout class="QVBoxLayout" name="verticalLayout_2">
<item>
<widget class="ScanHistory" name="scan_history"/>
</item>
<item>
<widget class="Waveform" name="waveform"/>
</item>
</layout>
</widget>
<widget class="QWidget" name="tab_5">
<attribute name="title">
<string>Heatmap</string>
</attribute>
<layout class="QVBoxLayout" name="verticalLayout_5">
<item>
<widget class="QSplitter" name="splitter_2">
<property name="orientation">
<enum>Qt::Orientation::Vertical</enum>
</property>
<widget class="QWidget" name="">
<layout class="QGridLayout" name="gridLayout">
<item row="0" column="0">
<widget class="Heatmap" name="heatmap_00"/>
</item>
<item row="0" column="1">
<widget class="Heatmap" name="heatmap_01"/>
</item>
<item row="1" column="0">
<widget class="Heatmap" name="heatmap_10"/>
</item>
<item row="1" column="1">
<widget class="Heatmap" name="heatmap_11"/>
</item>
</layout>
</widget>
<widget class="Heatmap" name="heatmap_bottom"/>
</widget>
</item>
</layout>
</widget>
</widget>
<widget class="QWidget" name="">
<layout class="QVBoxLayout" name="verticalLayout_3">
<item>
<widget class="ScanControl" name="scan_control"/>
</item>
<item>
<widget class="BECQueue" name="bec_queue"/>
</item>
</layout>
</widget>
</widget>
</item>
</layout>
</widget>
<widget class="QWidget" name="tab_2">
<attribute name="title">
<string>Logbook</string>
</attribute>
<layout class="QGridLayout" name="gridLayout_3">
<item row="0" column="0">
<widget class="QLabel" name="label">
<property name="font">
<font>
<pointsize>24</pointsize>
</font>
</property>
<property name="text">
<string>Coming soon...</string>
</property>
</widget>
</item>
</layout>
</widget>
<widget class="QWidget" name="tab_3">
<attribute name="title">
<string>Take a break</string>
</attribute>
<layout class="QGridLayout" name="gridLayout_2">
<item row="0" column="0">
<widget class="Minesweeper" name="minesweeper"/>
</item>
<item row="0" column="1">
<spacer name="horizontalSpacer">
<property name="orientation">
<enum>Qt::Orientation::Horizontal</enum>
</property>
<property name="sizeHint" stdset="0">
<size>
<width>1073</width>
<height>20</height>
</size>
</property>
</spacer>
</item>
<item row="1" column="0">
<spacer name="verticalSpacer">
<property name="orientation">
<enum>Qt::Orientation::Vertical</enum>
</property>
<property name="sizeHint" stdset="0">
<size>
<width>20</width>
<height>40</height>
</size>
</property>
</spacer>
</item>
</layout>
</widget>
</widget>
</item>
</layout>
</widget>
<customwidgets>
<customwidget>
<class>ScanControl</class>
<extends>QWidget</extends>
<header>scan_control</header>
</customwidget>
<customwidget>
<class>Heatmap</class>
<extends>QWidget</extends>
<header>heatmap</header>
</customwidget>
<customwidget>
<class>Waveform</class>
<extends>QWidget</extends>
<header>waveform</header>
</customwidget>
<customwidget>
<class>BECQueue</class>
<extends>QWidget</extends>
<header>bec_queue</header>
</customwidget>
<customwidget>
<class>Minesweeper</class>
<extends>QWidget</extends>
<header>minesweeper</header>
</customwidget>
<customwidget>
<class>ScanHistory</class>
<extends>QWidget</extends>
<header>scan_history</header>
</customwidget>
</customwidgets>
<resources/>
<connections/>
</ui>
@@ -65,7 +65,7 @@ class ScanHistory(BECWidget, QWidget):
icon_options = {"size": (16, 16), "convert_to_pixmap": False}
self.components["monitor_combobox"].apply_filter = False
self.components["monitor_combobox"].devices = ["lu_bpmsum", "ss_bpmsum"]
self.components["monitor_combobox"].devices = ["lu_bpmsum", "ss_bpmsum", "bcu_bpm", "i1","fe_bpmsum"]
self.components["history_spin_box"].setMinimum(-10000)
self.components["history_spin_box"].setMaximum(-1)
@@ -1,8 +1,115 @@
<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>ScanHistory</class>
<widget class="QWidget" name="ScanHistory">
<class>Form</class>
<widget class="QWidget" name="Form">
<property name="geometry">
<rect>
<x>0</x>
<y>0</y>
<width>955</width>
<height>796</height>
</rect>
</property>
<property name="windowTitle">
<string>Form</string>
</property>
<layout class="QVBoxLayout" name="verticalLayout_2" stretch="9,3">
<item>
<widget class="Waveform" name="waveform">
<property name="sizePolicy">
<sizepolicy hsizetype="Preferred" vsizetype="Preferred">
<horstretch>0</horstretch>
<verstretch>0</verstretch>
</sizepolicy>
</property>
<property name="minimumSize">
<size>
<width>0</width>
<height>0</height>
</size>
</property>
</widget>
<resources />
<connections />
</ui>
</item>
<item>
<layout class="QHBoxLayout" name="horizontalLayout_2">
<item>
<layout class="QVBoxLayout" name="verticalLayout">
<item>
<widget class="QLabel" name="monitor_label">
<property name="font">
<font/>
</property>
<property name="text">
<string>BPM Monitor</string>
</property>
</widget>
</item>
<item>
<widget class="DeviceComboBox" name="monitor_combobox"/>
</item>
<item>
<widget class="QLabel" name="history_label">
<property name="text">
<string>Scan History</string>
</property>
</widget>
</item>
<item>
<widget class="QSpinBox" name="history_spin_box"/>
</item>
<item>
<widget class="QPushButton" name="history_add">
<property name="text">
<string>Add scan</string>
</property>
</widget>
</item>
<item>
<widget class="QPushButton" name="history_clear">
<property name="text">
<string>clear all</string>
</property>
</widget>
</item>
</layout>
</item>
<item>
<widget class="TextBox" name="metadata_text_box">
<property name="sizePolicy">
<sizepolicy hsizetype="Preferred" vsizetype="MinimumExpanding">
<horstretch>0</horstretch>
<verstretch>0</verstretch>
</sizepolicy>
</property>
<property name="minimumSize">
<size>
<width>795</width>
<height>191</height>
</size>
</property>
</widget>
</item>
</layout>
</item>
</layout>
</widget>
<customwidgets>
<customwidget>
<class>TextBox</class>
<extends>QWidget</extends>
<header>text_box</header>
</customwidget>
<customwidget>
<class>DeviceComboBox</class>
<extends>QComboBox</extends>
<header>device_combobox</header>
</customwidget>
<customwidget>
<class>Waveform</class>
<extends>QWidget</extends>
<header>waveform</header>
</customwidget>
</customwidgets>
<resources/>
<connections/>
</ui>
@@ -0,0 +1,8 @@
<?xml version="1.0" encoding="UTF-8"?>
<ui version="4.0">
<class>ScanHistory</class>
<widget class="QWidget" name="ScanHistory">
</widget>
<resources />
<connections />
</ui>
File diff suppressed because it is too large Load Diff
-792
View File
@@ -1,792 +0,0 @@
sls_current:
description: SLS current
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'ARS07-DPCT-0100:CURR', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- SLS
readOnly: true
softwareTrigger: false
ps1_press:
description: Photon shutter 1 pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-FE-PSH1-VMCC-1010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
abs_press:
description: Absorber pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-FE-VMCC-0000:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
lu_bpmsum:
description: LU BPM Summed
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-LUBPM:SumAll:MeanValue_RBV', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bpm
readOnly: true
softwareTrigger: false
ss_bpmsum:
description: SS BPM Summed
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-ES-SSBPM1:SumAll:MeanValue_RBV', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bpm
readOnly: true
softwareTrigger: false
ps3_press:
description: Pumpstand 3 pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-FE-PUM3-VMCC-2010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
bsf_press:
description: BSF pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-BSF-VMFR-0010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
bb1_press:
description: BB1 pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-BBU-VMFR-1010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
dcm_press:
description: DCM pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-DCM-VMFR-3010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
bb2_press:
description: BB2 pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-BBD-VMFR-4010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
lu_press:
description: LU pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-LU-VMFR-5010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
ps2_press:
description: Photon shutter 2 pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-OP-PSH1-VMFR-7010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
ss_press:
description: SS pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-ES-SS1-VMFR-0010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
kb_press:
description: KBV pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-ES-KBV-VMFR-0010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
bcu_press:
description: BCU pressure
deviceClass: ophyd.EpicsSignalRO
deviceConfig: {read_pv: 'X10SA-ES-BCU-VMFR-0010:PRESSURE', auto_monitor: true}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- press
readOnly: true
softwareTrigger: false
fe_sxr:
description: 'FE Slit X Ring'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:TRXR'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_syt:
description: 'FE Slit Y top'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:TRYT'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_sxw:
description: 'FE Slit X Wall'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:TRXW'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_syb:
description: 'FE SlitY Bottom'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:TRYB'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_sxcen:
description: 'FE Slit X Centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:CENTERX'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_sxsize:
description: 'FE Slit X Size'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:SIZEX'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_sycen:
description: 'FE Slit Y Centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:CENTERY'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
fe_sysize:
description: 'FE Slit Y Size'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-FE-SLDI:SIZEY'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- fe
readOnly: false
softwareTrigger: false
s1_xw:
description: 'BSF slit outboard'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLH:TRXW'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_xr:
description: 'BSF slit inboard'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLH:TRXR'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_yt:
description: 'BSF slit top'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLV:TRYT'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_yb:
description: 'BSF slit bottom'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLV:TRYB'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_xcen:
description: 'BSF X centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLH:CENTER'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_xsize:
description: 'BSF X size'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLH:SIZE'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
s1_ycen:
description: 'BSF Y centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-SLV:CENTER'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
opf1_y:
description: 'BSF Filter 1 Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-FI1:TRY'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
opf2_y:
description: 'BSF Filter 2 Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-FI2:TRY'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- bsf
readOnly: false
softwareTrigger: false
dcm_bragg:
description: 'DCM Bragg angle'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:ROTY'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
dcm_x:
description: 'DCM lateral'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:TRX'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
dcm_perp:
description: 'DCM Perp'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:TRX-C2'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
dcm_pitch:
description: 'DCM 2nd crystal pitch'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:ROTY-C2'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
ssbpm_x:
description: 'SS BPM X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSBPM1:TRX1'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
ssbpm_y:
description: 'SS BPM Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSBPM1:TRY1'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_xw:
description: 'SS slit wall'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSH1:TRXW'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_xr:
description: 'SS slit ring'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSH1:TRXR'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_xcen:
description: 'SS slit X centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSH1:CENTER'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_xsize:
description: 'SS slit X size'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSH1:CENTER'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_yt:
description: 'SS slit top'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSV1:TRYT'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_yb:
description: 'SS slit bottom'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSV1:TRYB'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_ycen:
description: 'SS slit Y centre'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSV1:CENTER'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
s2_ysize:
description: 'SS slit Y size'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSSV1:SIZE'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
xeye_x:
description: 'SS X-ray eye X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSXI1:TRX1'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
xeye_y:
description: 'SS X-ray eye Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-SSXI1:TRY1'}
onFailure: buffer
enabled: True
readoutPriority: monitored
deviceTags:
- ss
readOnly: false
softwareTrigger: false
vfm_xu:
description: 'VFM Upstream X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRXU'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_xd:
description: 'VFM Downstream X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRXD'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_yur:
description: 'VFM Upstream Ring Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRYUR'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_yw:
description: 'VFM Wall Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRYW'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_ydr:
description: 'VFM Downstream Ring Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRYDR'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_bu:
description: 'VFM Upstream Bender'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:BNDU'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_bd:
description: 'VFM Downstream Bender'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:BNDD'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_yaw:
description: 'VFM Virtual Yaw'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:YAW'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_roll:
description: 'VFM Virtual Roll'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:ROLL'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_pitch:
description: 'VFM Virtual Pitch'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:PITCH'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_lat:
description: 'VFM Virtual X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRX'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
vfm_vert:
description: 'VFM Virtual Y '
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-VFM:TRY'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- vfm
readOnly: false
softwareTrigger: false
hfm_xu:
description: 'HFM Upstream X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRXU'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_xd:
description: 'HFM Downstream X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRXD'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_yuw:
description: 'HFM Upstream Wall Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRYUW'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_yr:
description: 'HFM Ring Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRYR'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_ydw:
description: 'HFM Downstream Wall Y'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRYDW'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_bu:
description: 'HFM Upstream Bender'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:BNDU'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_bd:
description: 'HFM Downstream Bender'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:BNDD'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_yaw:
description: 'HFM Virtual Yaw'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:YAW'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_roll:
description: 'HFM Virtual Roll'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:ROLL'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_pitch:
description: 'HFM Virtual Pitch'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:PITCH'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_lat:
description: 'HFM Virtual X'
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRX'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
hfm_vert:
description: 'HFM Virtual Y '
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-HFM:TRY'}
onFailure: buffer
enabled: False
readoutPriority: monitored
deviceTags:
- hfm
readOnly: false
softwareTrigger: false
File diff suppressed because it is too large Load Diff
@@ -1,169 +0,0 @@
name,description,deviceClass,PV,readoutPriority,tag,readOnly,include,userParameter,
sls_current,SLS current,SignalRO,ARS07-DPCT-0100:CURR,monitored,SLS,yes,yes,,
fe_bpm1,FE XBPM Signal 1,SignalRO,X10SA-FE-XBPM1:Current1:MeanValue_RBV,monitored,bpm,yes,yes,,
fe_bpm2,FE XBPM Signal 2,SignalRO,X10SA-FE-XBPM1:Current2:MeanValue_RBV,monitored,bpm,yes,yes,,
fe_bpm3,FE XBPM Signal 3,SignalRO,X10SA-FE-XBPM1:Current3:MeanValue_RBV,monitored,bpm,yes,yes,,
fe_bpm4,FE XBPM Signal 4,SignalRO,X10SA-FE-XBPM1:Current4:MeanValue_RBV,monitored,bpm,yes,yes,,
fe_bpmsum,FE XBPM Summed,SignalRO,X10SA-FE-XBPM1:SumAll:MeanValue_RBV,monitored,bpm,yes,yes,,
fe_bpm_x,FE BPM X,Motor,X10SA-FE-XBPM1:TRX,baseline,fe,no,yes,,
fe_bpm_y,FE BPM Y,Motor,X10SA-FE-XBPM1:TRY,baseline,fe,no,yes,,
fe_sl_xr,FE Slit X Ring,Motor,X10SA-FE-SL1:TRXR,baseline,fe,no,yes,,
fe_sl_yt,FE Slit Y top,Motor,X10SA-FE-SL1:TRYT,baseline,fe,no,yes,,
fe_sl_xw,FE Slit X Wall,Motor,X10SA-FE-SL1:TRXW,baseline,fe,no,yes,,
fe_sl_yb,FE SlitY Bottom,Motor,X10SA-FE-SL1:TRYB,baseline,fe,no,yes,,
fe_sl_xcen,FE Slit X Centre,Motor,X10SA-FE-SL1:CENTERX,baseline,fe,no,yes,,
fe_sl_xsize,FE Slit X Size,Motor,X10SA-FE-SL1:SIZEX,baseline,fe,no,yes,,
fe_sl_ycen,FE Slit Y Centre,Motor,X10SA-FE-SL1:CENTERY,baseline,fe,no,yes,,
fe_sl_ysize,FE Slit Y Size,Motor,X10SA-FE-SL1:SIZEY,baseline,fe,no,yes,,
bsf_bpm1,BSF BPM Signal 1,SignalRO,X10SA-OP-BSFBPM:SIGNAL1,monitored,bpm,yes,no,,
bsf_bpm2,BSF BPM Signal 2,SignalRO,X10SA-OP-BSFBPM:SIGNAL2,monitored,bpm,yes,no,,
bsf_bpm3,BSF BPM Signal 3,SignalRO,X10SA-OP-BSFBPM:SIGNAL3,monitored,bpm,yes,no,,
bsf_bpm4,BSF BPM Signal 4,SignalRO,X10SA-OP-BSFBPM:SIGNAL4,monitored,bpm,yes,no,,
bsf_bpmsum,BSF BPM Summed,SignalRO,X10SA-OP-BSFBPM:SUM,monitored,bpm,yes,no,,
bsf_sl_xw,BSF slit outboard,Motor,X10SA-OP-BSFSLH:TRXW,baseline,bsf,no,yes,,
bsf_sl_xr,BSF slit inboard,Motor,X10SA-OP-BSFSLH:TRXR,baseline,bsf,no,yes,,
bsf_sl_yt,BSF slit top,Motor,X10SA-OP-BSFSLV:TRYT,baseline,bsf,no,yes,,
bsf_sl_yb,BSF slit bottom,Motor,X10SA-OP-BSFSLV:TRYB,baseline,bsf,no,yes,,
bsf_sl_xcen,BSF X centre,Motor,X10SA-OP-BSFSLH:CENTER,baseline,bsf,no,yes,,
bsf_sl_xsize,BSF X size,Motor,X10SA-OP-BSFSLH:SIZE,baseline,bsf,no,yes,,
bsf_sl_ycen,BSF Y centre,Motor,X10SA-OP-BSFSLV:CENTER,baseline,bsf,no,yes,,
bsf_sl_ysize,BSF Y size,Motor,X10SA-OP-BSFSLV:SIZE,baseline,bsf,no,yes,,
bsf_f1_y,BSF Filter 1 Y,Motor,X10SA-OP-BSFFI1:TRY,baseline,bsf,no,yes,,
bsf_f2_y,BSF Filter 2 Y,Motor,X10SA-OP-BSFFI2:TRY,baseline,bsf,no,yes,,
dcm_bragg,DCM Bragg angle,Motor,X10SA-OP-DCM:ROTY,baseline,dcm,no,yes,,
dcm_x,DCM lateral,Motor,X10SA-OP-DCM:TRX,baseline,dcm,no,yes,,
dcm_perp,DCM Perp,Motor,X10SA-OP-DCM:TRX-CR2,baseline,dcm,no,yes,,
dcm_pitch,DCM 2nd crystal pitch,Motor,X10SA-OP-DCM:ROTY-CR2-PITCH,baseline,dcm,no,yes,,
dcm_fpitch,DCM 2nd crystal fine pitch,Motor,X10SA-OP-DCM:ROTY-CR2-FINEPITCH,baseline,dcm,no,yes,,
dcm_froll,DCM 2nd crystal fine roll,Motor,X10SA-OP-DCM:ROTZ-CR2-FINEROLL,baseline,dcm,no,yes,,
lu_bpm1,LU BPM Signal 1,SignalRO,X10SA-OP-LUBPM:Current1:MeanValue_RBV,monitored,bpm,yes,yes,,
lu_bpm2,LU BPM Signal 2,SignalRO,X10SA-OP-LUBPM:Current2:MeanValue_RBV,monitored,bpm,yes,yes,,
lu_bpm3,LU BPM Signal 3,SignalRO,X10SA-OP-LUBPM:Current3:MeanValue_RBV,monitored,bpm,yes,yes,,
lu_bpm4,LU BPM Signal 4,SignalRO,X10SA-OP-LUBPM:Current4:MeanValue_RBV,monitored,bpm,yes,yes,,
lu_bpmsum,LU BPM Summed,SignalRO,X10SA-OP-LUBPM:SumAll:MeanValue_RBV,monitored,bpm,yes,yes,,
lu_bpm_x,BPM2 X translation,Motor,X10SA-OP-LUBPM:TRX,baseline,lu,no,yes,,
lu_bpm_y,BPM2 Y translation,Motor,X10SA-OP-LUBPM:TRY,baseline,lu,no,yes,,
lu_z1,Lens Z1 Motion,Motor,X10SA-OP-LUTRZ1:TRZ,baseline,lu,no,yes,,
lu_z2,Lens Z2 Motion,Motor,X10SA-OP-LUTRZ2:TRZ,baseline,lu,no,yes,,
lu_pod1_x,SmarPod1 X,Motor,X10SA-OP-LUPOD1:TRX1,baseline,lu,no,no,,
lu_lens1_x2,Lenses1 X,Motor,X10SA-OP-LUPOD1:TRX2,baseline,lu,no,no,,
lu_pod1_y,SmarPod1 Y,Motor,X10SA-OP-LUPOD1:TRY,baseline,lu,no,yes,,
lu_pod1_z,SmarPod1 Z,Motor,X10SA-OP-LUPOD1:TRZ,baseline,lu,no,yes,,
lu_pod1_rotx,SmarPod1 RX,Motor,X10SA-OP-LUPOD1:ROTX,baseline,lu,no,yes,,
lu_pod1_roty,SmarPod1 RY,Motor,X10SA-OP-LUPOD1:ROTY,baseline,lu,no,yes,,
lu_pod1_rotz,SmarPod1 RZ,Motor,X10SA-OP-LUPOD1:ROTZ,baseline,lu,no,yes,,
lu_pod2_x,SmarPod2 X,Motor,X10SA-OP-LUPOD2:TRX1,baseline,lu,no,no,,
lu_lens2_x2,Lenses2 X,Motor,X10SA-OP-LUPOD2:TRX2,baseline,lu,no,no,,
lu_pod2_y,SmarPod2 Y,Motor,X10SA-OP-LUPOD2:TRY,baseline,lu,no,yes,,
lu_pod2_z,SmarPod2 Z,Motor,X10SA-OP-LUPOD2:TRZ,baseline,lu,no,yes,,
lu_pod2_rotx,SmarPod2 RX,Motor,X10SA-OP-LUPOD2:ROTX,baseline,lu,no,yes,,
lu_pod2_roty,SmarPod2 RY,Motor,X10SA-OP-LUPOD2:ROTY,baseline,lu,no,yes,,
lu_pod2_rotz,SmarPod2 RZ,Motor,X10SA-OP-LUPOD2:ROTZ,baseline,lu,no,yes,,
ss_bpm1,SS BPM Signal 1,SignalRO,X10SA-ES-SSBPM:Current1:MeanValue_RBV,monitored,bpm,yes,yes,,
ss_bpm2,SS BPM Signal 2,SignalRO,X10SA-ES-SSBPM:Current2:MeanValue_RBV,monitored,bpm,yes,yes,,
ss_bpm3,SS BPM Signal 3,SignalRO,X10SA-ES-SSBPM:Current3:MeanValue_RBV,monitored,bpm,yes,yes,,
ss_bpm4,SS BPM Signal 4,SignalRO,X10SA-ES-SSBPM:Current4:MeanValue_RBV,monitored,bpm,yes,yes,,
ss_bpmsum,SS BPM Summed,SignalRO,X10SA-ES-SSBPM:SumAll:MeanValue_RBV,monitored,bpm,yes,yes,,
ss_bpm_x,SS BPM X,Motor,X10SA-ES-SSBPM:TRX,baseline,ss,no,yes,,
ss_bpm_y,SS BPM Y,Motor,X10SA-ES-SSBPM:TRY,baseline,ss,no,yes,,
ss_f1_x,SS Filter 1 X,Motor,X10SA-ES-SSFI1:TRX,baseline,ss,no,yes,,
ss_f2_x,SS Filter 2 X,Motor,X10SA-ES-SSFI2:TRX,baseline,ss,no,yes,,
ss_f3_x,SS Filter 2 X,Motor,X10SA-ES-SSFI3:TRX,baseline,ss,no,yes,,
ss_f4_x,SS Filter 4 X,Motor,X10SA-ES-SSFI4:TRX,baseline,ss,no,yes,,
ss_sl_xw,SS slit wall,Motor,X10SA-ES-SSSLH:TRXW,baseline,ss,no,yes,,
ss_sl_xr,SS slit ring,Motor,X10SA-ES-SSSLH:TRXR,baseline,ss,no,yes,,
ss_sl_xcen,SS slit X centre,Motor,X10SA-ES-SSSLH:CENTER,baseline,ss,no,yes,,
ss_sl_xsize,SS slit X size,Motor,X10SA-ES-SSSLH:SIZE,baseline,ss,no,yes,,
ss_sl_yt,SS slit top,Motor,X10SA-ES-SSSLV:TRYT,baseline,ss,no,yes,,
ss_sl_yb,SS slit bottom,Motor,X10SA-ES-SSSLV:TRYB,baseline,ss,no,yes,,
ss_sl_ycen,SS slit Y centre,Motor,X10SA-ES-SSSLV:CENTER,baseline,ss,no,yes,,
ss_sl_ysize,SS slit Y size,Motor,X10SA-ES-SSSLV:SIZE,baseline,ss,no,yes,,
ss_xi_x,SS X-ray eye X,Motor,X10SA-ES-SSXI:TRX,baseline,ss,no,yes,"{""type"": multi-position,""in"": 7.5, ""out"": -2.1}",
ss_xi_y,SS X-ray eye Y,Motor,X10SA-ES-SSXI:TRY,baseline,ss,no,yes,,
ss_xicam_x,ss cam X,SignalRO,X10SA-ES-SSXI:cam1:Stats5:CentroidX_RBV,baseline,ss,yes,yes,,
ss_xicam_y,ss cam Y,SignalRO,X10SA-ES-SSXI:cam1:Stats5:CentroidY_RBV,baseline,ss,yes,yes,,
ss_xicam_max,ss cam max value,SignalRO,X10SA-ES-SSXI:cam1:Stats5:MaxValue_RBV,monitored,ss,yes,yes,,
ss_xicam_exp,ss camera exposure,Signal,X10SA-ES-SSXI:cam1:AcquireTime,baseline,ss,no,yes,,
ss_xicam_gain,ss camera gain,Signal,X10SA-ES-SSXI:cam1:cam1:Gain,baseline,ss,no,yes,,
ss_xicam_xsig,ss camera x sigma,Signal,X10SA-ES-SSXI:cam1:Stats5:SigmaX_RBV,baseline,ss,yes,yes,,
ss_xicam_ysig,ss camera y sigma,Signal,X10SA-ES-SSXI:cam1:Stats5:SigmaY_RBV,baseline,ss,yes,yes,,
vfm_xu,VFM Upstream X,Motor,X10SA-ES-KBV:TRXU,baseline,vfm,no,no,,
vfm_xd,VFM Downstream X,Motor,X10SA-ES-KBV:TRXD,baseline,vfm,no,no,,
vfm_yur,VFM Upstream Ring Y,Motor,X10SA-ES-KBV:TRYUR,baseline,vfm,no,no,,
vfm_yw,VFM Wall Y,Motor,X10SA-ES-KBV:TRYW,baseline,vfm,no,no,,
vfm_ydr,VFM Downstream Ring Y,Motor,X10SA-ES-KBV:TRYDR,baseline,vfm,no,no,,
vfm_bu,VFM Upstream Bender,Motor,X10SA-ES-KBV:BNDU,baseline,vfm,no,no,,
vfm_bd,VFM Downstream Bender,Motor,X10SA-ES-KBV:BNDD,baseline,vfm,no,no,,
vfm_yaw,VFM Virtual Yaw,Motor,X10SA-ES-KBV:YAW,baseline,vfm,no,no,,
vfm_roll,VFM Virtual Roll,Motor,X10SA-ES-KBV:ROLL,baseline,vfm,no,no,,
vfm_pitch,VFM Virtual Pitch,Motor,X10SA-ES-KBV:PITCH,baseline,vfm,no,no,,
vfm_x,VFM Virtual X,Motor,X10SA-ES-KBV:TRX,baseline,vfm,no,no,,
vfm_y,VFM Virtual Y ,Motor,X10SA-ES-KBV:TRY,baseline,vfm,no,no,,
hfm_xu,HFM Upstream X,Motor,X10SA-ES-KBH:TRXU,baseline,hfm,no,no,,
hfm_xd,HFM Downstream X,Motor,X10SA-ES-KBH:TRXD,baseline,hfm,no,no,,
hfm_yuw,HFM Upstream Wall Y,Motor,X10SA-ES-KBH:TRYUW,baseline,hfm,no,no,,
hfm_yr,HFM Ring Y,Motor,X10SA-ES-KBH:TRYR,baseline,hfm,no,no,,
hfm_ydw,HFM Downstream Wall Y,Motor,X10SA-ES-KBH:TRYDW,baseline,hfm,no,no,,
hfm_bu,HFM Upstream Bender,Motor,X10SA-ES-KBH:BNDU,baseline,hfm,no,no,,
hfm_bd,HFM Downstream Bender,Motor,X10SA-ES-KBH:BNDD,baseline,hfm,no,no,,
hfm_yaw,HFM Virtual Yaw,Motor,X10SA-ES-KBH:YAW,baseline,hfm,no,no,,
hfm_roll,HFM Virtual Roll,Motor,X10SA-ES-KBH:ROLL,baseline,hfm,no,no,,
hfm_pitch,HFM Virtual Pitch,Motor,X10SA-ES-KBH:PITCH,baseline,hfm,no,no,,
hfm_x,HFM Virtual X,Motor,X10SA-ES-KBH:TRX,baseline,hfm,no,no,,
hfm_y,HFM Virtual Y ,Motor,X10SA-ES-KBH:TRY,baseline,hfm,no,no,,
bcu_bpm1,BCU BPM Signal 1 ,SignalRO,X10SA-ES-BCBPM:Current1:MeanValue_RBV,monitored,bpm,yes,yes,,
bcu_bpm2,BCU BPM Signal 2,SignalRO,X10SA-ES-BCBPM:Current2:MeanValue_RBV,monitored,bpm,yes,yes,,
bcu_bpm3,BCU BPM Signal 3,SignalRO,X10SA-ES-BCBPM:Current3:MeanValue_RBV,monitored,bpm,yes,yes,,
bcu_bpm4,BCU BPM Signal 4,SignalRO,X10SA-ES-BCBPM:Current4:MeanValue_RBV,monitored,bpm,yes,yes,,
bcu_bpmsum,BCU BPM Summed,SignalRO,X10SA-ES-BCBPM:SumAll:MeanValue_RBV,monitored,bpm,yes,yes,,
bcu_bpm_x,BCU BPM X,Motor,X10SA-ES-BCBPM:TRX,baseline,bcu,no,yes,,
bcu_bpm_y,BCU BPM Y ,Motor,X10SA-ES-BCBPM:TRY,baseline,bcu,no,yes,,
bcu_sl_xw,BCU slit wall,Motor,X10SA-ES-BCSLH:TRXW,baseline,bcu,no,no,,
bcu_sl_xr,BCU slit ring,Motor,X10SA-ES-BCSLH:TRXR,baseline,bcu,no,no,,
bcu_sl_xcen,BCU slit X centre,Motor,X10SA-ES-BCSLH:CENTER,baseline,bcu,no,no,,
bcu_sl_xsize,BCU slit X size,Motor,X10SA-ES-BCSLH:SIZEX,baseline,bcu,no,no,,
bcu_sl_yt,BCU slit top,Motor,X10SA-ES-BCSLV:TRYT,baseline,bcu,no,no,,
bcu_sl_yb,BCU slit bottom,Motor,X10SA-ES-BCSLV:TRYB,baseline,bcu,no,no,,
bcu_sl_ycen,BCU slit Y centre,Motor,X10SA-ES-BCSLV:CENTER,baseline,bcu,no,no,,
bcu_sl_ysize,BCU slit Y size,Motor,X10SA-ES-BCSLV:SIZE,baseline,bcu,no,no,,
xrf_pos,XRF det in/out,Signal,X10SA-ES-XRF:POS-SET,baseline,se,no,yes,"{""type"":positioner}",
samcam_x,sample cam X ,SignalRO,X10SA-ES-MS:Stats5:CentroidX_RBV,baseline,scam,yes,yes,,
samcam_xsig,sample cam X sigma,SignalRO,X10SA-ES-MS:Stats5:SigmaX_RBV,monitored,scam,yes,yes,,
samcam_y,sample cam Y ,SignalRO,X10SA-ES-MS:Stats5:CentroidY_RBV,baseline,scam,yes,yes,,
samcam_ysig,sample cam Y sigma,SignalRO,X10SA-ES-MS:Stats5:SigmaY_RBV,monitored,scam,yes,yes,,
samcam_max,sample cam max value,SignalRO,X10SA-ES-MS:Stats5:MaxValue_RBV,monitored,scam,yes,yes,,
samcam_exp,sample cam exp time,Signal,X10SA-ES-MS:cam1:AcquireTime,baseline,scam,no,yes,,
samcam_gain,sample cam gain,Signal,X10SA-ES-MS:cam1:Gain,baseline,scam,no,yes,,
scam_zoom,Sample cam zoom,Motor,X10SA-ES-MS:ZOOM,baseline,scam,no,yes,,
fl_bright,Frontlight brightness,Signal,X10SA-ES-FL:SET,baseline,se,no,yes,,
coll_x,Collimator X,Motor,X10SA-ES-COL:TRX,baseline,se,no,yes,,
coll_y,Collimator Y,Motor,X10SA-ES-COL:TRY,baseline,se,no,yes,"{""type"": multi-position, ""in"": 41.5, ""out"": 20.0, ""park"": 0,""tol"":0.05}",
diag_y,Scintillator/diode Y,Motor,X10SA-ES-SCL:TRY,baseline,se,no,yes,"{""type"": multi-position, ""scint"": 38.62, ""i1"": 44.0, ""out"": 20.0,""park"": 0,""tol"":0.3}",
diag_z,Scintillator/diode Z,Motor,X10SA-ES-SCL:TRZ,baseline,se,no,yes,,
i1,i1 diode reading,SignalRO,X10SA-ES-SCLDI:READOUT,monitored,bpm,yes,yes,,
bl_pos,Backlight positioner,Signal,X10SA-ES-BL:POS-SET,baseline,se,no,yes,"{""type"":positioner}",
bl_bright,Backlight brightness,Signal,X10SA-ES-BL:SET,baseline,se,no,yes,,
bs_x,Beamstop X,Motor,X10SA-ES-BS:TRX,baseline,se,no,yes,,
bs_y,Beamstop Y,Motor,X10SA-ES-BS:TRY,baseline,se,no,yes,,
bs_z,Beamstop Z,Motor,X10SA-ES-BS:TRZ,baseline,se,no,yes,"{""type"": guarded, ""min"": 13, ""samp"": 15, ""work_min"": 20, ""safe"": 41, ""max_blin"": 42, ""max_blout"": 70}",
bs_pos,Beamstop positioner,Signal,X10SA-ES-BS:POS-SET,baseline,se,no,yes,"{""type"":positioner}",
gon_x,Goniometer X,Motor,X10SA-ES-DF1:TRX1,baseline,det,no,yes,"{""type"": guarded, ""in"": 18.0, ""out"": -10.0, ""safe"": -100,""tol"":0.5}",
gon_y,Goniometer Y,Motor,X10SA-ES-DF1:TRY1,baseline,det,no,yes,,
gon_z,Goniometer X,Motor,X10SA-ES-DF1:TRZ1,baseline,det,no,yes,,
omega,Omega,Motor,X10SA-ES-DF1:ROTU,baseline,det,no,yes,,
cryo_pos,Cryo positioner,Signal,X10SA-ES-CS:POS-SET,baseline,se,no,yes,"{""type"":positioner}",
cryo_x,Cryojet X ,Motor,X10SA-ES-CS:TRX,baseline,se,no,yes,,
det_xi_focus,X-ray eye 2 Focus,Motor,X10SA-ES-XEYE:FOCUS,baseline,det,no,yes,,
det_xi_zoom,X-ray eye 2 Zoom,Motor,X10SA-ES-XEYE:ZOOM,baseline,det,no,yes,,
det_xi_x,X-ray eye X,Motor,X10SA-ES-XEYE:TRX,baseline,det,no,yes,,
i2,i2,SignalRO,X10SA-ES-XEYEDI:READOUT,monitored,bpm,yes,yes,,
det_xicam_x,sample cam X ,SignalRO,X10SA-ES-XEYE:cam1:Stats5:CentroidX_RBV,baseline,scam,yes,no,,
det_xicam_xsig,sample cam X sigma,SignalRO,X10SA-ES-XEYE:cam1:Stats5:SigmaX_RBV,monitored,scam,yes,no,,
det_xicam_y,sample cam Y ,SignalRO,X10SA-ES-XEYE:cam1:Stats5:CentroidY_RBV,baseline,scam,yes,no,,
det_xicam_ysig,sample cam Y sigma,SignalRO,X10SA-ES-XEYE:cam1:Stats5:SigmaY_RBV,monitored,scam,yes,no,,
det_xicam_max,sample cam max value,SignalRO,X10SA-ES-XEYE:cam1:Stats5:MaxValue_RBV,monitored,scam,yes,no,,
det_xicam_exp,sample cam exp time,Signal,X10SA-ES-XEYE:cam1:cam1:AcquireTime,baseline,scam,no,no,,
det_xicam_gain,sample cam gain,Signal,X10SA-ES-XEYE:cam1:cam1:Gain,baseline,scam,no,no,,
det_cov,Detector cover,Signal,X10SA-ES-DETCOV:SET,baseline,det,no,yes,"{""type"":positioner}",
det_y,Detector Y,Motor,X10SA-ES-DET:TRY,baseline,det,no,yes,,
det_z,Detector Z,Motor,X10SA-ES-DET:TRZ,baseline,det,no,yes,,
1 name description deviceClass PV readoutPriority tag readOnly include userParameter
2 sls_current SLS current SignalRO ARS07-DPCT-0100:CURR monitored SLS yes yes
3 fe_bpm1 FE XBPM Signal 1 SignalRO X10SA-FE-XBPM1:Current1:MeanValue_RBV monitored bpm yes yes
4 fe_bpm2 FE XBPM Signal 2 SignalRO X10SA-FE-XBPM1:Current2:MeanValue_RBV monitored bpm yes yes
5 fe_bpm3 FE XBPM Signal 3 SignalRO X10SA-FE-XBPM1:Current3:MeanValue_RBV monitored bpm yes yes
6 fe_bpm4 FE XBPM Signal 4 SignalRO X10SA-FE-XBPM1:Current4:MeanValue_RBV monitored bpm yes yes
7 fe_bpmsum FE XBPM Summed SignalRO X10SA-FE-XBPM1:SumAll:MeanValue_RBV monitored bpm yes yes
8 fe_bpm_x FE BPM X Motor X10SA-FE-XBPM1:TRX baseline fe no yes
9 fe_bpm_y FE BPM Y Motor X10SA-FE-XBPM1:TRY baseline fe no yes
10 fe_sl_xr FE Slit X Ring Motor X10SA-FE-SL1:TRXR baseline fe no yes
11 fe_sl_yt FE Slit Y top Motor X10SA-FE-SL1:TRYT baseline fe no yes
12 fe_sl_xw FE Slit X Wall Motor X10SA-FE-SL1:TRXW baseline fe no yes
13 fe_sl_yb FE SlitY Bottom Motor X10SA-FE-SL1:TRYB baseline fe no yes
14 fe_sl_xcen FE Slit X Centre Motor X10SA-FE-SL1:CENTERX baseline fe no yes
15 fe_sl_xsize FE Slit X Size Motor X10SA-FE-SL1:SIZEX baseline fe no yes
16 fe_sl_ycen FE Slit Y Centre Motor X10SA-FE-SL1:CENTERY baseline fe no yes
17 fe_sl_ysize FE Slit Y Size Motor X10SA-FE-SL1:SIZEY baseline fe no yes
18 bsf_bpm1 BSF BPM Signal 1 SignalRO X10SA-OP-BSFBPM:SIGNAL1 monitored bpm yes no
19 bsf_bpm2 BSF BPM Signal 2 SignalRO X10SA-OP-BSFBPM:SIGNAL2 monitored bpm yes no
20 bsf_bpm3 BSF BPM Signal 3 SignalRO X10SA-OP-BSFBPM:SIGNAL3 monitored bpm yes no
21 bsf_bpm4 BSF BPM Signal 4 SignalRO X10SA-OP-BSFBPM:SIGNAL4 monitored bpm yes no
22 bsf_bpmsum BSF BPM Summed SignalRO X10SA-OP-BSFBPM:SUM monitored bpm yes no
23 bsf_sl_xw BSF slit outboard Motor X10SA-OP-BSFSLH:TRXW baseline bsf no yes
24 bsf_sl_xr BSF slit inboard Motor X10SA-OP-BSFSLH:TRXR baseline bsf no yes
25 bsf_sl_yt BSF slit top Motor X10SA-OP-BSFSLV:TRYT baseline bsf no yes
26 bsf_sl_yb BSF slit bottom Motor X10SA-OP-BSFSLV:TRYB baseline bsf no yes
27 bsf_sl_xcen BSF X centre Motor X10SA-OP-BSFSLH:CENTER baseline bsf no yes
28 bsf_sl_xsize BSF X size Motor X10SA-OP-BSFSLH:SIZE baseline bsf no yes
29 bsf_sl_ycen BSF Y centre Motor X10SA-OP-BSFSLV:CENTER baseline bsf no yes
30 bsf_sl_ysize BSF Y size Motor X10SA-OP-BSFSLV:SIZE baseline bsf no yes
31 bsf_f1_y BSF Filter 1 Y Motor X10SA-OP-BSFFI1:TRY baseline bsf no yes
32 bsf_f2_y BSF Filter 2 Y Motor X10SA-OP-BSFFI2:TRY baseline bsf no yes
33 dcm_bragg DCM Bragg angle Motor X10SA-OP-DCM:ROTY baseline dcm no yes
34 dcm_x DCM lateral Motor X10SA-OP-DCM:TRX baseline dcm no yes
35 dcm_perp DCM Perp Motor X10SA-OP-DCM:TRX-CR2 baseline dcm no yes
36 dcm_pitch DCM 2nd crystal pitch Motor X10SA-OP-DCM:ROTY-CR2-PITCH baseline dcm no yes
37 dcm_fpitch DCM 2nd crystal fine pitch Motor X10SA-OP-DCM:ROTY-CR2-FINEPITCH baseline dcm no yes
38 dcm_froll DCM 2nd crystal fine roll Motor X10SA-OP-DCM:ROTZ-CR2-FINEROLL baseline dcm no yes
39 lu_bpm1 LU BPM Signal 1 SignalRO X10SA-OP-LUBPM:Current1:MeanValue_RBV monitored bpm yes yes
40 lu_bpm2 LU BPM Signal 2 SignalRO X10SA-OP-LUBPM:Current2:MeanValue_RBV monitored bpm yes yes
41 lu_bpm3 LU BPM Signal 3 SignalRO X10SA-OP-LUBPM:Current3:MeanValue_RBV monitored bpm yes yes
42 lu_bpm4 LU BPM Signal 4 SignalRO X10SA-OP-LUBPM:Current4:MeanValue_RBV monitored bpm yes yes
43 lu_bpmsum LU BPM Summed SignalRO X10SA-OP-LUBPM:SumAll:MeanValue_RBV monitored bpm yes yes
44 lu_bpm_x BPM2 X translation Motor X10SA-OP-LUBPM:TRX baseline lu no yes
45 lu_bpm_y BPM2 Y translation Motor X10SA-OP-LUBPM:TRY baseline lu no yes
46 lu_z1 Lens Z1 Motion Motor X10SA-OP-LUTRZ1:TRZ baseline lu no yes
47 lu_z2 Lens Z2 Motion Motor X10SA-OP-LUTRZ2:TRZ baseline lu no yes
48 lu_pod1_x SmarPod1 X Motor X10SA-OP-LUPOD1:TRX1 baseline lu no no
49 lu_lens1_x2 Lenses1 X Motor X10SA-OP-LUPOD1:TRX2 baseline lu no no
50 lu_pod1_y SmarPod1 Y Motor X10SA-OP-LUPOD1:TRY baseline lu no yes
51 lu_pod1_z SmarPod1 Z Motor X10SA-OP-LUPOD1:TRZ baseline lu no yes
52 lu_pod1_rotx SmarPod1 RX Motor X10SA-OP-LUPOD1:ROTX baseline lu no yes
53 lu_pod1_roty SmarPod1 RY Motor X10SA-OP-LUPOD1:ROTY baseline lu no yes
54 lu_pod1_rotz SmarPod1 RZ Motor X10SA-OP-LUPOD1:ROTZ baseline lu no yes
55 lu_pod2_x SmarPod2 X Motor X10SA-OP-LUPOD2:TRX1 baseline lu no no
56 lu_lens2_x2 Lenses2 X Motor X10SA-OP-LUPOD2:TRX2 baseline lu no no
57 lu_pod2_y SmarPod2 Y Motor X10SA-OP-LUPOD2:TRY baseline lu no yes
58 lu_pod2_z SmarPod2 Z Motor X10SA-OP-LUPOD2:TRZ baseline lu no yes
59 lu_pod2_rotx SmarPod2 RX Motor X10SA-OP-LUPOD2:ROTX baseline lu no yes
60 lu_pod2_roty SmarPod2 RY Motor X10SA-OP-LUPOD2:ROTY baseline lu no yes
61 lu_pod2_rotz SmarPod2 RZ Motor X10SA-OP-LUPOD2:ROTZ baseline lu no yes
62 ss_bpm1 SS BPM Signal 1 SignalRO X10SA-ES-SSBPM:Current1:MeanValue_RBV monitored bpm yes yes
63 ss_bpm2 SS BPM Signal 2 SignalRO X10SA-ES-SSBPM:Current2:MeanValue_RBV monitored bpm yes yes
64 ss_bpm3 SS BPM Signal 3 SignalRO X10SA-ES-SSBPM:Current3:MeanValue_RBV monitored bpm yes yes
65 ss_bpm4 SS BPM Signal 4 SignalRO X10SA-ES-SSBPM:Current4:MeanValue_RBV monitored bpm yes yes
66 ss_bpmsum SS BPM Summed SignalRO X10SA-ES-SSBPM:SumAll:MeanValue_RBV monitored bpm yes yes
67 ss_bpm_x SS BPM X Motor X10SA-ES-SSBPM:TRX baseline ss no yes
68 ss_bpm_y SS BPM Y Motor X10SA-ES-SSBPM:TRY baseline ss no yes
69 ss_f1_x SS Filter 1 X Motor X10SA-ES-SSFI1:TRX baseline ss no yes
70 ss_f2_x SS Filter 2 X Motor X10SA-ES-SSFI2:TRX baseline ss no yes
71 ss_f3_x SS Filter 2 X Motor X10SA-ES-SSFI3:TRX baseline ss no yes
72 ss_f4_x SS Filter 4 X Motor X10SA-ES-SSFI4:TRX baseline ss no yes
73 ss_sl_xw SS slit wall Motor X10SA-ES-SSSLH:TRXW baseline ss no yes
74 ss_sl_xr SS slit ring Motor X10SA-ES-SSSLH:TRXR baseline ss no yes
75 ss_sl_xcen SS slit X centre Motor X10SA-ES-SSSLH:CENTER baseline ss no yes
76 ss_sl_xsize SS slit X size Motor X10SA-ES-SSSLH:SIZE baseline ss no yes
77 ss_sl_yt SS slit top Motor X10SA-ES-SSSLV:TRYT baseline ss no yes
78 ss_sl_yb SS slit bottom Motor X10SA-ES-SSSLV:TRYB baseline ss no yes
79 ss_sl_ycen SS slit Y centre Motor X10SA-ES-SSSLV:CENTER baseline ss no yes
80 ss_sl_ysize SS slit Y size Motor X10SA-ES-SSSLV:SIZE baseline ss no yes
81 ss_xi_x SS X-ray eye X Motor X10SA-ES-SSXI:TRX baseline ss no yes {"type": multi-position,"in": 7.5, "out": -2.1}
82 ss_xi_y SS X-ray eye Y Motor X10SA-ES-SSXI:TRY baseline ss no yes
83 ss_xicam_x ss cam X SignalRO X10SA-ES-SSXI:cam1:Stats5:CentroidX_RBV baseline ss yes yes
84 ss_xicam_y ss cam Y SignalRO X10SA-ES-SSXI:cam1:Stats5:CentroidY_RBV baseline ss yes yes
85 ss_xicam_max ss cam max value SignalRO X10SA-ES-SSXI:cam1:Stats5:MaxValue_RBV monitored ss yes yes
86 ss_xicam_exp ss camera exposure Signal X10SA-ES-SSXI:cam1:AcquireTime baseline ss no yes
87 ss_xicam_gain ss camera gain Signal X10SA-ES-SSXI:cam1:cam1:Gain baseline ss no yes
88 ss_xicam_xsig ss camera x sigma Signal X10SA-ES-SSXI:cam1:Stats5:SigmaX_RBV baseline ss yes yes
89 ss_xicam_ysig ss camera y sigma Signal X10SA-ES-SSXI:cam1:Stats5:SigmaY_RBV baseline ss yes yes
90 vfm_xu VFM Upstream X Motor X10SA-ES-KBV:TRXU baseline vfm no no
91 vfm_xd VFM Downstream X Motor X10SA-ES-KBV:TRXD baseline vfm no no
92 vfm_yur VFM Upstream Ring Y Motor X10SA-ES-KBV:TRYUR baseline vfm no no
93 vfm_yw VFM Wall Y Motor X10SA-ES-KBV:TRYW baseline vfm no no
94 vfm_ydr VFM Downstream Ring Y Motor X10SA-ES-KBV:TRYDR baseline vfm no no
95 vfm_bu VFM Upstream Bender Motor X10SA-ES-KBV:BNDU baseline vfm no no
96 vfm_bd VFM Downstream Bender Motor X10SA-ES-KBV:BNDD baseline vfm no no
97 vfm_yaw VFM Virtual Yaw Motor X10SA-ES-KBV:YAW baseline vfm no no
98 vfm_roll VFM Virtual Roll Motor X10SA-ES-KBV:ROLL baseline vfm no no
99 vfm_pitch VFM Virtual Pitch Motor X10SA-ES-KBV:PITCH baseline vfm no no
100 vfm_x VFM Virtual X Motor X10SA-ES-KBV:TRX baseline vfm no no
101 vfm_y VFM Virtual Y Motor X10SA-ES-KBV:TRY baseline vfm no no
102 hfm_xu HFM Upstream X Motor X10SA-ES-KBH:TRXU baseline hfm no no
103 hfm_xd HFM Downstream X Motor X10SA-ES-KBH:TRXD baseline hfm no no
104 hfm_yuw HFM Upstream Wall Y Motor X10SA-ES-KBH:TRYUW baseline hfm no no
105 hfm_yr HFM Ring Y Motor X10SA-ES-KBH:TRYR baseline hfm no no
106 hfm_ydw HFM Downstream Wall Y Motor X10SA-ES-KBH:TRYDW baseline hfm no no
107 hfm_bu HFM Upstream Bender Motor X10SA-ES-KBH:BNDU baseline hfm no no
108 hfm_bd HFM Downstream Bender Motor X10SA-ES-KBH:BNDD baseline hfm no no
109 hfm_yaw HFM Virtual Yaw Motor X10SA-ES-KBH:YAW baseline hfm no no
110 hfm_roll HFM Virtual Roll Motor X10SA-ES-KBH:ROLL baseline hfm no no
111 hfm_pitch HFM Virtual Pitch Motor X10SA-ES-KBH:PITCH baseline hfm no no
112 hfm_x HFM Virtual X Motor X10SA-ES-KBH:TRX baseline hfm no no
113 hfm_y HFM Virtual Y Motor X10SA-ES-KBH:TRY baseline hfm no no
114 bcu_bpm1 BCU BPM Signal 1 SignalRO X10SA-ES-BCBPM:Current1:MeanValue_RBV monitored bpm yes yes
115 bcu_bpm2 BCU BPM Signal 2 SignalRO X10SA-ES-BCBPM:Current2:MeanValue_RBV monitored bpm yes yes
116 bcu_bpm3 BCU BPM Signal 3 SignalRO X10SA-ES-BCBPM:Current3:MeanValue_RBV monitored bpm yes yes
117 bcu_bpm4 BCU BPM Signal 4 SignalRO X10SA-ES-BCBPM:Current4:MeanValue_RBV monitored bpm yes yes
118 bcu_bpmsum BCU BPM Summed SignalRO X10SA-ES-BCBPM:SumAll:MeanValue_RBV monitored bpm yes yes
119 bcu_bpm_x BCU BPM X Motor X10SA-ES-BCBPM:TRX baseline bcu no yes
120 bcu_bpm_y BCU BPM Y Motor X10SA-ES-BCBPM:TRY baseline bcu no yes
121 bcu_sl_xw BCU slit wall Motor X10SA-ES-BCSLH:TRXW baseline bcu no no
122 bcu_sl_xr BCU slit ring Motor X10SA-ES-BCSLH:TRXR baseline bcu no no
123 bcu_sl_xcen BCU slit X centre Motor X10SA-ES-BCSLH:CENTER baseline bcu no no
124 bcu_sl_xsize BCU slit X size Motor X10SA-ES-BCSLH:SIZEX baseline bcu no no
125 bcu_sl_yt BCU slit top Motor X10SA-ES-BCSLV:TRYT baseline bcu no no
126 bcu_sl_yb BCU slit bottom Motor X10SA-ES-BCSLV:TRYB baseline bcu no no
127 bcu_sl_ycen BCU slit Y centre Motor X10SA-ES-BCSLV:CENTER baseline bcu no no
128 bcu_sl_ysize BCU slit Y size Motor X10SA-ES-BCSLV:SIZE baseline bcu no no
129 xrf_pos XRF det in/out Signal X10SA-ES-XRF:POS-SET baseline se no yes {"type":positioner}
130 samcam_x sample cam X SignalRO X10SA-ES-MS:Stats5:CentroidX_RBV baseline scam yes yes
131 samcam_xsig sample cam X sigma SignalRO X10SA-ES-MS:Stats5:SigmaX_RBV monitored scam yes yes
132 samcam_y sample cam Y SignalRO X10SA-ES-MS:Stats5:CentroidY_RBV baseline scam yes yes
133 samcam_ysig sample cam Y sigma SignalRO X10SA-ES-MS:Stats5:SigmaY_RBV monitored scam yes yes
134 samcam_max sample cam max value SignalRO X10SA-ES-MS:Stats5:MaxValue_RBV monitored scam yes yes
135 samcam_exp sample cam exp time Signal X10SA-ES-MS:cam1:AcquireTime baseline scam no yes
136 samcam_gain sample cam gain Signal X10SA-ES-MS:cam1:Gain baseline scam no yes
137 scam_zoom Sample cam zoom Motor X10SA-ES-MS:ZOOM baseline scam no yes
138 fl_bright Frontlight brightness Signal X10SA-ES-FL:SET baseline se no yes
139 coll_x Collimator X Motor X10SA-ES-COL:TRX baseline se no yes
140 coll_y Collimator Y Motor X10SA-ES-COL:TRY baseline se no yes {"type": multi-position, "in": 41.5, "out": 20.0, "park": 0,"tol":0.05}
141 diag_y Scintillator/diode Y Motor X10SA-ES-SCL:TRY baseline se no yes {"type": multi-position, "scint": 38.62, "i1": 44.0, "out": 20.0,"park": 0,"tol":0.3}
142 diag_z Scintillator/diode Z Motor X10SA-ES-SCL:TRZ baseline se no yes
143 i1 i1 diode reading SignalRO X10SA-ES-SCLDI:READOUT monitored bpm yes yes
144 bl_pos Backlight positioner Signal X10SA-ES-BL:POS-SET baseline se no yes {"type":positioner}
145 bl_bright Backlight brightness Signal X10SA-ES-BL:SET baseline se no yes
146 bs_x Beamstop X Motor X10SA-ES-BS:TRX baseline se no yes
147 bs_y Beamstop Y Motor X10SA-ES-BS:TRY baseline se no yes
148 bs_z Beamstop Z Motor X10SA-ES-BS:TRZ baseline se no yes {"type": guarded, "min": 13, "samp": 15, "work_min": 20, "safe": 41, "max_blin": 42, "max_blout": 70}
149 bs_pos Beamstop positioner Signal X10SA-ES-BS:POS-SET baseline se no yes {"type":positioner}
150 gon_x Goniometer X Motor X10SA-ES-DF1:TRX1 baseline det no yes {"type": guarded, "in": 18.0, "out": -10.0, "safe": -100,"tol":0.5}
151 gon_y Goniometer Y Motor X10SA-ES-DF1:TRY1 baseline det no yes
152 gon_z Goniometer X Motor X10SA-ES-DF1:TRZ1 baseline det no yes
153 omega Omega Motor X10SA-ES-DF1:ROTU baseline det no yes
154 cryo_pos Cryo positioner Signal X10SA-ES-CS:POS-SET baseline se no yes {"type":positioner}
155 cryo_x Cryojet X Motor X10SA-ES-CS:TRX baseline se no yes
156 det_xi_focus X-ray eye 2 Focus Motor X10SA-ES-XEYE:FOCUS baseline det no yes
157 det_xi_zoom X-ray eye 2 Zoom Motor X10SA-ES-XEYE:ZOOM baseline det no yes
158 det_xi_x X-ray eye X Motor X10SA-ES-XEYE:TRX baseline det no yes
159 i2 i2 SignalRO X10SA-ES-XEYEDI:READOUT monitored bpm yes yes
160 det_xicam_x sample cam X SignalRO X10SA-ES-XEYE:cam1:Stats5:CentroidX_RBV baseline scam yes no
161 det_xicam_xsig sample cam X sigma SignalRO X10SA-ES-XEYE:cam1:Stats5:SigmaX_RBV monitored scam yes no
162 det_xicam_y sample cam Y SignalRO X10SA-ES-XEYE:cam1:Stats5:CentroidY_RBV baseline scam yes no
163 det_xicam_ysig sample cam Y sigma SignalRO X10SA-ES-XEYE:cam1:Stats5:SigmaY_RBV monitored scam yes no
164 det_xicam_max sample cam max value SignalRO X10SA-ES-XEYE:cam1:Stats5:MaxValue_RBV monitored scam yes no
165 det_xicam_exp sample cam exp time Signal X10SA-ES-XEYE:cam1:cam1:AcquireTime baseline scam no no
166 det_xicam_gain sample cam gain Signal X10SA-ES-XEYE:cam1:cam1:Gain baseline scam no no
167 det_cov Detector cover Signal X10SA-ES-DETCOV:SET baseline det no yes {"type":positioner}
168 det_y Detector Y Motor X10SA-ES-DET:TRY baseline det no yes
169 det_z Detector Z Motor X10SA-ES-DET:TRZ baseline det no yes
@@ -1,12 +0,0 @@
smargon:
description: REST-based device which connects to Smargopolo
deviceClass: pxii_bec.devices.smargopolo_smargon.Smargon
deviceConfig: {prefix: 'http://localhost:8000'}
onFailure: buffer
enabled: True
readoutPriority: baseline
deviceTags:
- smargon
- motors
readOnly: false
softwareTrigger: false
@@ -1,25 +1,13 @@
base_config:
- !include ./pxii-autogenerated.yaml
id_gap:
readoutPriority: baseline
description: undulator gap
deviceClass: pxii_bec.devices.undulator.UndulatorGap
deviceConfig:
prefix: 'X10SA-UIND:'
prefix: 'X10SA-UIND:'
onFailure: buffer
enabled: true
readOnly: false
softwareTrigger: false
smargon:
description: REST-based device which connects to Smargopolo
deviceClass: pxii_bec.devices.smargopolo_smargon.Smargon
deviceConfig: {prefix: 'http://x10sa-smargopolo.psi.ch:3000'}
onFailure: buffer
enabled: True
readoutPriority: baseline
deviceTags:
- smargon
- motors
readOnly: false
softwareTrigger: false
@@ -1,99 +0,0 @@
base_config:
- !include ./pxii-autogenerated.yaml
id_gap:
readoutPriority: baseline
description: undulator gap
deviceClass: pxii_bec.devices.undulator.UndulatorGap
deviceConfig:
prefix: 'X10SA-UIND:'
onFailure: buffer
enabled: true
readOnly: false
softwareTrigger: false
coll_x:
description: Collimator X
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-ES-COL:TRX'}
onFailure: buffer
enabled: True
readoutPriority: baseline
deviceTags:
- se
readOnly: false
softwareTrigger: false
dcm_fpitch:
description: DCM 2nd crystal fine pitch
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:PITCH-C2'}
onFailure: buffer
enabled: True
readoutPriority: baseline
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
dcm_froll:
description: DCM 2nd crystal fine roll
deviceClass: ophyd.EpicsMotor
deviceConfig: {prefix: 'X10SA-OP-DCM:ROLL-C2'}
onFailure: buffer
enabled: True
readoutPriority: baseline
deviceTags:
- dcm
readOnly: false
softwareTrigger: false
bcu_xasym:
description: horizontal asymmetry
deviceClass: ophyd_devices.ComputedSignal
deviceConfig:
compute_method: "def compute_xasym(signal1, signal2, signal3, signal4):\n return (signal3.get()+signal4.get() - signal1.get()- signal2.get())/(sum((signal1.get(), signal2.get(), signal3.get(), signal4.get())))"
input_signals:
- "bcu_bpm1"
- "bcu_bpm2"
- "bcu_bpm3"
- "bcu_bpm4"
enabled: true
readOnly: false
readoutPriority: baseline
bcu_yasym:
description: vertical asymmetry
deviceClass: ophyd_devices.ComputedSignal
deviceConfig:
compute_method: "def compute_xasym(signal1, signal2, signal3, signal4):\n return (signal1.get()+signal2.get() - signal3.get()- signal4.get())/(sum((signal1.get(), signal2.get(), signal3.get(), signal4.get())))"
input_signals:
- "bcu_bpm1"
- "bcu_bpm2"
- "bcu_bpm3"
- "bcu_bpm4"
enabled: true
readOnly: false
readoutPriority: baseline
bcu_xpos:
description: horizontal position
deviceClass: ophyd_devices.ComputedSignal
deviceConfig:
compute_method: "def compute_xpos(signal1):\n import numpy as np\n return 0.131786+ np.arctanh((signal1.get()-0.007105) /0.99342) / 9.5597 "
input_signals:
- "bcu_xasym"
enabled: true
readOnly: false
readoutPriority: baseline
bcu_ypos:
description: vertical position
deviceClass: ophyd_devices.ComputedSignal
deviceConfig:
compute_method: "def compute_ypos(signal1):\n import numpy as np\n return -0.20283 + np.arctanh((signal1.get()- (-0.19936)) /0.80653) / (-13.18539)"
input_signals:
- "bcu_yasym"
enabled: true
readOnly: false
readoutPriority: baseline
-158
View File
@@ -1,158 +0,0 @@
import time
from threading import Event, RLock, Thread
from typing import Any
from ophyd import Component as Cpt
from ophyd import OphydObject
from ophyd_devices import PSIDeviceBase
from ophyd_devices.utils.socket import SocketSignal
from requests import Response, get, put
_TIMESTAMP_ID = "__timestamp"
_POLL_INTERVAL_SLOW = 0.1
class HttpRestError(Exception):
"""Error for rest calls from a HttpRestSignal."""
def __init__(self, resp: Response, *args: object, value: Any | None = None) -> None:
method, url = resp.request.method, resp.request.url
data = f"{str(value)} to " if value is not None else ""
super().__init__(
f"Could not {method} {data}{url}. Code: {resp.status_code}. Reason: {resp.reason}.",
*args,
)
class SmargonSignal(SocketSignal):
"""Ophyd signal which gets and puts to a REST API rather than EPICS PVs, mediated through the SmargonController"""
def __init__(self, *args, axis_identifier: str, **kwargs):
super().__init__(*args, **kwargs)
controller: SmargonController | None = getattr(self.root, "controller", None)
if controller is None:
raise TypeError("SmargonSignal must be used in a device with a SmargonController")
self._controller = controller
self._axis_id = axis_identifier
self._controller.register(self._axis_id)
def _socket_get(self): # type: ignore
self._readback, self.metadata["timestamp"] = self._controller.get_readback(
self._axis_id
) or (0.0, 0.0)
return self._readback
def _socket_set(self, val: float):
self._controller.put(self._axis_id, val)
def get(self):
if self._controller.monitor_stopped():
self._controller.start_monitor()
return super().get()
class SmargonController(OphydObject):
"""Controller to consolidate polling loops and other REST calls for the smargon"""
def __init__(self, *, prefix, **kwargs):
self._prefix = prefix
self._readback_endpoint = "/readbackSCS"
self._target_endpoint = "/targetSCS"
self._targets = {}
self._signal_registry: set[str] = set()
self._readback_poll_interval: float = _POLL_INTERVAL_SLOW
super().__init__(**kwargs)
self._setup_readback()
def _setup_readback(self):
self._readbacks: dict[str, float] = {}
self._stop_monitor_readback_event = Event()
self._readback_lock = RLock()
self._monitor_readback_thread = Thread(
target=self._monitor,
args=[
self._readback_endpoint,
self._stop_monitor_readback_event,
self._readback_lock,
self._readbacks,
],
)
def _monitor(self, endpoint: str, event: Event, lock: RLock, buffer: dict):
while not event.is_set():
data = self._rest_get(endpoint)
timestamp = time.monotonic()
with lock:
buffer.update(data)
buffer["__timestamp"] = timestamp
time.sleep(self._readback_poll_interval)
def _clean_monitor(self):
if self._monitor_readback_thread.is_alive():
self._stop_monitor_readback_event.set()
self._monitor_readback_thread.join(timeout=2)
if self._monitor_readback_thread.is_alive():
raise RuntimeError("Failed to clean up Smargon monitor thread.")
def register(self, axis_id: str):
self._signal_registry.add(axis_id)
def _rest_get(self, endpoint):
resp = get(self._prefix + endpoint)
if not resp.ok:
raise HttpRestError(resp)
return resp.json()
def _rest_put(self, val: dict[str, float]):
resp = put(self._prefix + self._target_endpoint, params=val)
if not resp.ok:
raise HttpRestError(resp, value=val)
def start_monitor(self):
"""Start or restart the automonitor thread."""
self._clean_monitor()
self._setup_readback()
self._monitor_readback_thread.start()
def monitor_stopped(self):
return not self._monitor_readback_thread.is_alive()
def get_readback(self, axis_id: str) -> tuple[float, float] | None:
with self._readback_lock:
if axis_id not in self._readbacks or _TIMESTAMP_ID not in self._readbacks:
return None
return self._readbacks.get(axis_id), self._readbacks.get(_TIMESTAMP_ID) # type: ignore
def put(self, axis: str, val: float):
self._rest_put({axis: val})
def stop(self):
# There doesn't appear to be a stop endpoint on the server
# Best effort: set the target to the current position
self._rest_put(self._readbacks)
class Smargon(PSIDeviceBase):
x = Cpt(SmargonSignal, axis_identifier="SHX", tolerance=0.01)
y = Cpt(SmargonSignal, axis_identifier="SHY", tolerance=0.01)
z = Cpt(SmargonSignal, axis_identifier="SHZ", tolerance=0.01)
phi = Cpt(SmargonSignal, axis_identifier="PHI", tolerance=0.01)
chi = Cpt(SmargonSignal, axis_identifier="CHI", tolerance=0.01)
def __init__(
self, *, name: str, prefix: str = "", scan_info=None, device_manager=None, **kwargs
):
self.controller = SmargonController(prefix=prefix)
super().__init__(
name=name, prefix=prefix, scan_info=scan_info, device_manager=device_manager, **kwargs
)
def wait_for_connection(self, **kwargs): # type: ignore
self.controller.start_monitor()
return super().wait_for_connection(**kwargs)
def stop(self, *, success: bool = False) -> None:
self.controller.stop()
return super().stop(success=success)
View File
File diff suppressed because it is too large Load Diff
-6
View File
@@ -1,6 +0,0 @@
# Macros
This directory is intended to store macros which will be loaded automatically when starting BEC.
Macros are small functions to make repetitive tasks easier. Functions defined in python files in this directory will be accessible from the BEC console.
Please do not put any code outside of function definitions here. If you wish for code to be automatically run when starting BEC, see the startup script at pxii_bec/bec_ipython_client/startup/post_startup.py
For a guide on writing macros, please see: https://bec.readthedocs.io/en/latest/user/command_line_interface.html#how-to-write-a-macro
-314
View File
@@ -1,314 +0,0 @@
#!/usr/bin/env python
from pylab import *
import sys, os
# import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import scipy.interpolate
from scipy.optimize import curve_fit
from scipy.ndimage import gaussian_filter1d
def fit_harm(harm, n, order):
x = harm[0, :].astype(float)
y = harm[1, :].astype(float) ## else funny object that might contain funny strings ...
coeff = np.polyfit(x, y, order) # 3 in general i.e., 4 params
polynomial = np.poly1d(coeff)
x_fit = np.linspace(min(x), max(x), 100)
y_fit = polynomial(x_fit)
print("Polynomial coefficients of the harmonic: ", n, coeff)
plot(x_fit, y_fit, color="blue")
return (x / n, y) # get the normalized energy gap relation for fitting the Halbach coeff
######### simple exp fit ############
def exponential_func0(x, a, b, c):
# fit 3 params a,b,c
return a * np.exp(b * x + c * x**2)
######### inverse exp fit ############
def exponential_func1(x, a, b, c):
# fit 3 params a,b,c
return 1 / (1 + (a * np.exp(b * x + c * x**2)))
######### inverse exp fit plus E_max ############
def exponential_func2(x, a, b, c, d):
# fit 4 params a,b,c, e.g., fit energy of storage ring as well
return d / (1 + (a * np.exp(b * x + c * x**2)))
##################################
def return_harmon():
# from 3rd to 21th Energy range from 6 keV to 30 keV
# harmonics, July 2025
import numpy as np
nharm = 13
h = [np.array([]) for _ in range(nharm + 1)]
h[0] = np.array([0])
h[1] = np.array([0])
h[2] = np.array([0])
h[3] = np.array([1.07141725, -0.52834258]) # 3rd harmon
h[4] = np.array([0.007111, -0.13678409, 1.52295567, -1.06882785])
h[5] = np.array([0.00315051, -0.0766359, 1.13107469, -0.86442062])
h[6] = np.array([0.00162862, -0.04452336, 0.82948259, -0.37329674])
h[7] = np.array([0.00080764, -0.02418882, 0.59212947, 0.15702886])
h[8] = np.array([1.16699242e-03, -4.68207543e-02, 9.43972396e-01, -1.94201019e00])
h[9] = np.array([4.84194444e-04, -2.01064762e-02, 5.55141139e-01, -3.81800667e-01])
h[10] = np.array([2.11583333e-04, -8.03503571e-03, 3.43141595e-01, 6.02318000e-01])
h[11] = np.array([3.34391667e-03, -1.84053357e-01, 3.58338994e00, -1.93640241e01])
h[12] = np.array([3.20520798e-05, 2.39253145e-03, 8.09198503e-02, 2.22897377e00])
h[13] = np.array([0.00278744, 0.07979874, 2.05143916])
# fitpar_u19 = np.array([ 2.17078531, 0.519452, -0.00720255]) # measured from U19
return h
def plot_harmon(e_start, e_end, h_no, pr_out=False):
enarr = np.arange(e_start, e_end + 1, 0.5)
h_all = return_harmon()
h = h_all[h_no]
polynomial = np.poly1d(h)
gaps = polynomial(enarr)
if pr_out:
print("en =", enarr)
print("gaps =", gaps)
plt.ion()
plt.figure()
plt.plot(enarr, gaps, "*")
plt.title(f"harmonic no {h_no}")
plt.xlabel("E / keV")
plt.ylabel("Gap / mm")
plt.show()
def setu19(en, *harm_no, detune=0):
"""
set the U19 to the gaps defined in Jul2025, or the "theoretical" ones for higher
harmonics
USAGE:
setu19(en, *harm_no, detune=0)
en in keV, possibly select a special harmonics, or detune [0/1] to a value
with a nicer beam shape but less flux
"""
g0 = dev.id_gap.readback.get()
fitpar_u19 = np.array([2.17078531, 0.519452, -0.00720255]) # measured from U19
h_all = return_harmon()
# dep on energy -> select harmonics
if harm_no:
harm = int(harm_no[0])
print("Selected harmonics is:", harm)
else:
print("Using the default optimised harmonics")
if en <= 7:
harm = 3 # h = h[3]
elif 7 < en <= 10:
harm = 5
elif 10 < en <= 13:
harm = 7
elif 13 < en <= 16:
harm = 9
elif 16 < en <= 19:
harm = 11
elif 19 < en <= 22:
harm = 13
if en <= 22:
h = h_all[harm]
print(f"harmonics is {harm}.")
polynomial = np.poly1d(h)
g = polynomial(en)
# print(f"For energy {en} the used harmonic is {polynomial} for gap {g}")
## for time being: if E > 20 : use the "theoretical", old measured and interpolated values up to E = 30 keV
# 21, 22 : 13
# 23, 24, 25: 15;
# 26: 15 or 17
# 27, 28: 17
# 29: 15, 17, 19
# 30: 19
##
if 23 < en <= 25:
n = 15
enorm = en / n
g = exponential_func0(enorm, fitpar_u19[0], fitpar_u19[1], fitpar_u19[2])
elif 25 < en <= 29:
n = 17
enorm = en / n
g = exponential_func0(enorm, fitpar_u19[0], fitpar_u19[1], fitpar_u19[2])
elif 29 < en:
n = 19
enorm = en / n
g = exponential_func0(enorm, fitpar_u19[0], fitpar_u19[1], fitpar_u19[2])
print("Undulator has been ", g0, " mm")
if 4.5 <= g <= 20:
print("Moving Undulator gap to ", g, " mm")
else:
print("not a valid gap, do nothing")
if detune:
g = g * 0.996
print("moving to detuned gap value, slightly below max, about 0.15 % ")
# print("move disabled!!")
res = scans.umv(dev.id_gap, g, relative=False)
return
##################################
def harmon_walk(estart=7.5, end_en=13):
import time
en = estart
ans = "y"
while en < end_en + 0.5 and ans == "y":
print(en)
setu19(en, 5)
time.sleep(2)
sete(en)
en = en + 0.5
ans = input("Next energy? y/n: ")
##################################
def gap_harm(e=12.4):
fitpar_u19 = np.array([2.17078531, 0.519452, -0.00720255])
fitpar_u17 = np.array([2.17078572, 0.46477267, -0.005766])
e = float(input("Please enter an energy between 6 and 30: "))
for n in range(3, 23):
# n = int(input('Please enter a harmonic n, n between 3 and 15 '))
enorm = e / n
g_19 = exponential_func0(enorm, fitpar_u19[0], fitpar_u19[1], fitpar_u19[2])
g_17 = exponential_func0(enorm, fitpar_u17[0], fitpar_u17[1], fitpar_u17[2])
print(f"harmonic {n}, gap for U19 = {g_19:.5f}, for U17 = {g_17:.5f}")
# print(f"harmonic {n}, gap for U17 = {g_17}")
return
##################################
def long_gscan(estart=7, end_en=20.5, g_low=4.5, g_high=9.0, nsteps=1500):
import time
import numpy as np
dirname = "/sls/x10sa/config/commissioning/Data/"
print(
f"scanning the U19 gap from {estart} keV to {end_en} keV, for a gapsize from {g_low} to {g_high}"
)
resol = (g_high - g_low) / nsteps
print(f"nsteps = {nsteps}; resolution is {resol} mm")
dock_area = bec.gui.new("LongGapScan")
wr = dock_area.new().new(bec.gui.available_widgets.Waveform)
mot = dev.id_gap
det = dev.lu_bpmsum
wr.plot(x_name=mot.name, y_name=det.name) ## names first !
wr.x_label = mot.name
wr.y_label = det.name
g0 = dev.id_gap.readback.get()
### parameters
# g_low = 4.5 # 4.5
# g_high = 9.0 # 9.0
# nsteps = 1500 # res = 3 um
## now: probably do from 5 keV to ?? 30 keV ???
en = estart
while en < end_en:
sete(en)
time.sleep(0.2)
rock()
print(f"setting energy to {en}")
time.sleep(0.2)
ds = scans.line_scan(dev.id_gap, g_low, g_high, steps=nsteps, exp_time=0.1, relative=False)
gap_data = ds.scan.live_data.id_gap.id_gap.val
bpm_data = ds.scan.live_data.lu_bpmsum.lu_bpmsum.val
wr.plot(x=gap_data, y=bpm_data)
# writing output to simple data file for later analysis:
combined = np.column_stack((gap_data, bpm_data))
filename = dirname + "gaps" + str(en) + ".txt"
with open(filename, "w") as f:
np.savetxt(f, combined, delimiter=",", fmt="%5f")
en += 1
return
##################################
def gscan(centre=0, gomax=0, detune=0):
"""
Scan the ID GAP and go
to the max of lu_bpm intensity
gscan(centre=0): just scan
gscan(centre=1): go to centre of fit max
gscan(centre=1, gomax=1): go to max of intensity
gscan(centre=1,detune=1): position of slightly less flux with nicer beam shape
"""
import time
dock_area = bec.gui.new()
wr = dock_area.new().new(bec.gui.available_widgets.Waveform)
mot = dev.id_gap
det = dev.lu_bpmsum
wr.plot(x_name=mot.name, y_name=det.name) ## names first !
# wr.plot(x=mot.name,y=det.name) ### this comes later
wr.x_label = mot.name
wr.y_label = det.name
g0 = dev.id_gap.readback.get()
deltag = 0.05
ds = scans.line_scan(dev.id_gap, -deltag, deltag, steps=30, exp_time=0.5, relative=True)
gap_data = ds.scan.live_data.id_gap.id_gap.val
bpm_data = ds.scan.live_data.lu_bpmsum.lu_bpmsum.val
# maxy = max(bpm_data)
# indmax = np.argmax(bpm_data)
# gm = gap_data[indmax]
gcen, xm = fit_plot(gap_data, bpm_data, model="gauss")
if gomax:
gm = xm
else:
gm = gcen
print("gap off by ", g0 - gm, " mm")
if detune:
gm = gm * 0.996
print("moving to detuned gap value, slightly (0.15 %) below max")
if centre:
time.sleep(0.2)
if min(gap_data) <= gm <= max(gap_data):
scans.umv(dev.id_gap, gm, relative=False)
print("moving to ", gm, " mm")
else:
print("Fit too far off, try using option gomax=1")
return
View File
-355
View File
@@ -1,355 +0,0 @@
"""Utility functions for calculating energy, wavelength, and Bragg angle."""
from dataclasses import dataclass
import numpy as np
# from pxii_parameters import (EnergyDefaults, CamConversion)
@dataclass(frozen=True)
class Constants:
"""Constants used in energy calculations"""
# # Physical Constants from https://physics.nist.gov/cuu/Constants/index.html
ANGSTROM_CONVERSION = 1e10 # Convert meters to angstrom
PLANCK_CONST_EV = 4.135667696e-15 # eV/Hz
SPEED_OF_LIGHT = 299792458 # m/s
# d-spacings
d_spacing = {120: 3.13481, 298: 3.13562}
def speed_of_light_ang():
"""
Calculate the speed of light in angstroms per second.
Returns:
float: The speed of light converted to angstroms per second.
"""
return Constants.SPEED_OF_LIGHT * Constants.ANGSTROM_CONVERSION
def en_wav_factor():
"""
Calculate the energy wavelength factor.
This function computes a constant factor used to calculate energy
values in relation to wavelength by combining Planck's constant,
in eV/Hz, and the speed of light in angstrom.
Returns:
float: The computed energy wavelength factor.
"""
return Constants.PLANCK_CONST_EV * speed_of_light_ang()
# Helper Functions
def convert_to_degrees(angle_mrad: float) -> float:
"""
Convert an angle from milliradians to degrees.
Args:
angle_mrad: The angle value in milliradians.
Returns:
The angle converted into degrees as a float.
"""
return np.rad2deg(angle_mrad / 1000)
def create_conversion_result(
energy_ev: float, wavelength: float, bragg_angle_mrad: float
) -> dict:
"""
Creates a dictionary containing converted values of energy and angles.
This function takes the energy in electron-volts, the wavelength,
and the Bragg angle in milliradians as input. It computes and
returns a dictionary containing the energy in both electron-volts
and kiloelectron-volts, the wavelength, the Bragg angle in milliradians,
and the Bragg angle converted to degrees.
Args:
energy_ev: Energy value in electron-volts.
wavelength: Wavelength value.
bragg_angle_mrad: Bragg angle in milliradians.
Returns:
dict: A dictionary containing the following keys:
- "energy_kev": Energy value in kiloelectron-volts.
- "energy_ev": Energy value in electron-volts.
- "wavelength": Wavelength value.
- "bragg_angle_mrad": Bragg angle in milliradians.
- "bragg_angle_deg": Bragg angle in degrees.
"""
return {
"energy_kev": energy_ev / 1000,
"energy_ev": energy_ev,
"wavelength": wavelength,
"bragg_angle_mrad": float(bragg_angle_mrad),
"bragg_angle_deg": float(convert_to_degrees(bragg_angle_mrad)),
}
def print_conversion_result(result: dict) -> None:
"""
Prints the energy-related conversion results to the console.
"""
line = (
f"energy: {result['energy_ev']:.6g} eV, energy: {result['energy_kev']:.6g} keV, "
f"wavelength: {result['wavelength']:.4g} Å, "
f"bragg angle: {result['bragg_angle_mrad']:.5g} mrad, {result['bragg_angle_deg']:.4g} deg"
)
print(line)
# Conversion Functions
def calculate_wavelength_from_angle(bragg_angle_mrad: float, temp=120) -> float:
"""
calculate_wavelength_from_angle(bragg_angle_mrad: float) -> float
Arguments:
bragg_angle_mrad: The Bragg angle in milliradians, used to compute the
sine value required for the wavelength calculation.
Returns:
The calculated wavelength as a float value.
"""
d = Constants.d_spacing[temp]
return 2 * d * np.sin(bragg_angle_mrad / 1000)
def calculate_energy_from_wavelength(wavelength: float) -> float:
"""
Calculates the energy of a photon based on its wavelength.
Args:
wavelength: The wavelength of the photon in angstrom.
Returns:
The energy of the photon in eV.
"""
return en_wav_factor() / wavelength
def calculate_wavelength_from_energy(energy_ev: float) -> float:
"""
Calculates the wavelength of a photon from its energy.
Arguments:
energy_ev: float
The energy of the photon in electronvolts (eV).
Returns:
float
The calculated wavelength of the photon in angstrom.
"""
return en_wav_factor() / energy_ev
def calculate_bragg_angle_from_wavelength(wavelength: float, temp=120) -> float:
"""
Calculate the Bragg angle in milliradians for a given wavelength.
Args:
wavelength: The wavelength in angstrom.
Returns:
The Bragg angle in milliradians as a float.
"""
d = Constants.d_spacing[temp]
angle_rad = np.arcsin(wavelength / (2 * d))
return angle_rad * 1000
def convert_input_angle_to_mrad(bragg_angle: float) -> float:
"""
Convert input angle into milliradians (mrad).
This function takes an angle as input and determines its likely unit,
converting it to milliradians (mrad) if necessary. If the input value
is less than 1, it is assumed to be in radians and is converted to
mrad. If the input value falls between predefined minimum and
maximum values for mrad, it is assumed to be in degrees and thus
converted to mrad using the degrees-to-radians conversion factor.
For input values that don't match these scenarios, it assumes
that the input is already in mrad and returns it unchanged.
Arguments:
bragg_angle (float): The input Bragg angle, which can be in
radians, degrees, or milliradians.
Returns:
float: The Bragg angle converted into milliradians (mrad).
"""
if bragg_angle < 1: # Likely the input angle is in radians
return bragg_angle * 1000
if 3 < bragg_angle < 25: # Likely input angle is in degrees
return np.deg2rad(bragg_angle) * 1000
return bragg_angle # Already in mrad
# Core Functions
def validate_energy(energy_ev):
"""
Validates the energy value to ensure it falls within the acceptable range. The function
converts the provided energy from keV to eV if the input value is less than 1/1000 of the
maximum energy value. It then checks whether the energy is within the defined bounds.
If the energy value is outside the acceptable range, the function raises a ValueError.
Args:
energy_ev (float): The energy value in eV or keV to be validated. If this value is
smaller than 1/1000 of the maximum allowed energy (in eV), it will be multiplied
by 1000 to convert it from keV to eV.
Returns:
float: The validated energy value in eV that falls within the acceptable range.
Raises:
ValueError: If the energy value is outside the defined range of
[MIN_ENERGY_EV, MAX_ENERGY_EV].
"""
if energy_ev < EnergyDefaults.max_energy_ev / 1000: # Assuming the input is in keV.
energy_ev *= 1000
if not EnergyDefaults.min_energy_ev <= energy_ev <= EnergyDefaults.max_energy_ev:
raise ValueError(
f"Energy of {energy_ev} eV is outside the valid range "
f"({EnergyDefaults.min_energy_ev} eV to {EnergyDefaults.max_energy_ev} eV)"
)
return energy_ev
def convert_from_bragg(
bragg_angle_mrad: float, temp=120, print_result: bool = False
) -> dict:
"""
Convert the Bragg angle to wavelength and energy, returning the result as a dictionary.
This function converts a given Bragg angle (in milliradians) into the corresponding
wavelength and energy values, and returns them in a dictionary format. The function
also supports optional printing of the calculated results.
Args:
bragg_angle_mrad (float): The Bragg angle in milliradians to be converted.
print_result (bool): Whether to print the conversion result. Defaults to False.
Returns:
dict: A dictionary containing the following keys:
- 'energy_ev': Energy in electronvolts.
- 'wavelength': Wavelength corresponding to the input angle.
- 'bragg_angle_mrad': Input Bragg angle in milliradians.
"""
bragg_angle_mrad = convert_input_angle_to_mrad(bragg_angle_mrad)
wavelength = float(calculate_wavelength_from_angle(bragg_angle_mrad, temp=temp))
energy_ev = float(calculate_energy_from_wavelength(wavelength))
result = create_conversion_result(energy_ev, wavelength, bragg_angle_mrad)
if print_result:
print_conversion_result(result)
return result
def convert_from_energy(energy_ev: float, temp=120, print_result: bool = False) -> dict:
"""
Convert energy in electron volts (eV) to wavelength and Bragg angle in milliradians
(mrad). This method validates the given energy, calculates corresponding properties,
and optionally prints the result.
Args:
energy_ev: Energy value in electron volts (float) to be converted.
print_result: Flag indicating whether to print the resulting
conversion details (bool). Defaults to False.
Returns:
A dictionary containing the following key-value pairs:
- "energy_ev" (float): Validated energy in eV.
- "wavelength" (float): Calculated wavelength in meters.
- "bragg_angle_mrad" (float): Calculated Bragg angle in mrad.
"""
energy_ev = validate_energy(energy_ev)
wavelength = calculate_wavelength_from_energy(energy_ev)
bragg_angle_mrad = float(
calculate_bragg_angle_from_wavelength(wavelength, temp=temp)
)
result = create_conversion_result(energy_ev, wavelength, bragg_angle_mrad)
if print_result:
print_conversion_result(result)
return result
def convert_from_wavelength(
wavelength: float,
temp: float = 120,
print_result: bool = False,
) -> dict:
"""
Convert a given wavelength value into corresponding energy, Bragg angle, and
generate a result dictionary.
The function processes a wavelength value, checks its validity against a
permitted range, calculates corresponding energy and Bragg angle, and
formats the results into a dictionary. Optionally, the function can print
the result.
Parameters:
wavelength: float
The input wavelength value in Angstroms to be converted. Should
fall within the permitted wavelength range.
print_result: bool
Optional flag indicating whether to print the conversion result.
Default is False.
Returns:
dict
A dictionary containing the energy (electron-volts), wavelength
(Angstroms), and Bragg angle (milliradians). If the wavelength is
outside of the permitted range, returns None.
"""
energy_ev = calculate_energy_from_wavelength(wavelength)
bragg_angle_mrad = float(
calculate_bragg_angle_from_wavelength(wavelength, temp=temp)
)
result = create_conversion_result(energy_ev, wavelength, bragg_angle_mrad)
if print_result:
print_conversion_result(result)
return result
def calc_perp_position(
energy_ev: float,
print_result: bool = False,
) -> float:
"""
Calculate the perpendicular motor position based on provided energy in electron-volts (eV).
This function computes the perpendicular motor position using the given energy value in
electron-volts. The calculation is based on the Bragg angle derived from the energy. An optional
parameter allows printing the result during execution.
Parameters:
energy_ev (float): The energy value in electron-volts used for the calculation.
print_result (bool): Flag to determine whether to print the computed perpendicular offset.
Default is False.
Returns:
float: The computed perpendicular position.
Raises:
None
"""
result = convert_from_energy(energy_ev, print_result=False)
bragg_angle_rad = result["bragg_angle_mrad"] / 1000
perp_offset = float(EnergyDefaults.beam_offset / (2 * np.cos(bragg_angle_rad))) - 3
if print_result:
print(f"Perp = {perp_offset: .4f}")
return perp_offset
def calc_scam_microns(pixels, zoom=1000):
"""Convert pixels to microns for the sample camera"""
return float(pixels / (CamConversion.a * np.exp(CamConversion.b * zoom)))
def calc_bsccam_microns(pixels):
"""Convert pixels to microns for the BSC camera"""
return pixels*20
-49
View File
@@ -1,49 +0,0 @@
#### find out about a certain class --
#### retrieve the struct of dictionaries
# if you know the attribute you are searching for:
def check_attr(obj, attr):
# att as string
attr = getattr(obj, attr)
if isinstance(attr, dict):
print("keys:", attr.keys())
print("values:", attr.values())
print("items:", attr.items())
# Automatically Detect All Dictionary Attributes:
def list_dict_attr_single(obj):
for attr_name, value in vars(obj).items():
if isinstance(value, dict):
print(f"\nDictionary attribute: {attr_name}")
print(" Keys:", list(value.keys()))
print(" Items:")
for key, val in value.items():
print(f" {key} -> {val}")
# Also Handle Nested Dictionaries:
def list_dict_attr(obj):
def print_dict(d, indent=0): # start with zero indentation
for key, value in d.items():
print(" " * indent + str(key) + ":", end=" ")
if isinstance(value, dict):
print()
print_dict(value, indent+1)
else:
print(value)
for attr_name, value in vars(obj).items():
if isinstance(value, dict):
print(f"\nDictionary attribute: {attr_name}")
print_dict(value)
-126
View File
@@ -1,126 +0,0 @@
#!/usr/bin/env python
# ### PYTHON pro to determine the flux from the current
# ### on a Si diode
# ### A Pauluhn, Dec 2012
# ### from IDL pro flux_diode.pro (2010)
## NOTE: for TRANSFER DIODE:
## switch off ANY ambient light
## note that: 10 um Si, and 0 um Al for transfer diode Hamamatsu
# ### import the standard
import os, sys, string, time
import re
import numpy as np
import math
def fluxcalc(curr, en, t_air, t_si, t_al):
#------ parameters:
rsi = 2.33 # g/cm^3 density of Si
ral = 2.699 # g/cm^3 density of Al
rair = 1.205e-3 # g/cm^3 density of air
eps_si = 3.62 # eV , energy req for charge separation in Si (el/hole pair)
e = 1.602e-19 # As , elem charge
t_si = 0.0012 # thickness of diode in cm (==12 micrometres) ; [*10000]
t_al = 0.002 # thickness of diode in cm (==20 micrometres)
#--------- calc----------------------------------------------------
#energy deposit in Silicon
#ratio of photoelectric cross section to density for Silicon
#alog10(A_Si)= 4.158 - 2.238*alog10(Ep) - 0.477*alog10(Ep)^2 + 0.0789*alog10(Ep)^3
ps = np.poly1d([0.0789, - 0.477, - 2.238, 4.158])
#print ps
# ps.c
# print ps(2.3)
leval = math.log10(en)
hlp_si = ps(leval)
a_si = np.pow(10, hlp_si)
#efact = np.exp(-A_Si*rsi*t_Si)
#sifact =1 - efact
sifact = - np.expm1(-a_si*rsi*t_si)
#print 'sifact = ', sifact
fl = 1000.*curr * eps_si/1.602/en/sifact *1.e13 # curr expected in A
#print 'fl = ', fl
#Aluminium attenuation
#ratio of photoelectric cross section to density for Aluminium
pa = np.poly1d([ 0.0638, - 0.413, - 2.349, 4.106])
hlp_al = pa(leval)
a_al = pow(10, hlp_al)
# attenuation due to aluminium
alfact = np.exp(-a_al*ral*t_al)
#print 'alfact = ', alfact
# Air attenuation
# ratio of photoelectric cross section to density for air
pair = np.poly1d([0.928, - 2.348, - 1.026, 3.153])
hlp_air = pair(leval)
a_air = np.pow(10, hlp_air)
#print('hlp_air, a_air, rair, t_air = ', hlp_air, a_air, rair , t_air)
# attenuation due to air
airfact = np.exp(-a_air*rair*t_air/10.)
#airfact = 1.
#print 'airfact = ', airfact
#print ' t_air = ', t_air
# total flux from photocurrent
fl = fl/alfact/airfact
#print 'fl = ', fl
return fl
#
# Main
#
def flux_x10sa():
curr = input('Please enter the current [in A] ')
curr = float(curr)
print('Current = ', curr)
en = input('Please enter the energy [in keV] ')
en = float(en)
print('Energy = ', en)
## d_det = input('Please enter the detector distance [in mm] ')
d_det = dev.det_z.user_readback.get()
d_off = 15 ## at X10SA ### input('Please enter the OFFSET of the diode to det surface [in mm] ')
t_air = float(d_det) + float(d_off)
print('Air path length (CARE ! add det distance and offset of diode) = ', t_air) # include additional diode distance
# t_si = input('Please enter the Si thickness of diode [in um] ')
# t_si = float(t_si) / 10000. # to cm
t_si = 12 # um ## at X10SA
# t_al = input('Please enter the Al thickness of diode [in um] ')
# t_al = float(t_al) / 10000. # to cm
t_al = 20 # um ## at X10SA
fl = fluxcalc(curr, en, t_air,t_si, t_al)
print( " Diode Current = %.6f A " % curr)
print( " Energy = %.4f keV " % en )
print( " Thickness of active Si layer = %.4f\t cm " % t_si) #*10000.
print( " Thickness of Al layer in front of diode = %.4f\t cm " % t_al) #*10000.
print( " Length of path of air in front of diode = %.4f\t mm " % t_air) #*10000.
print (" Flux = %6.2e\t ph/s " % fl)
return fl
-253
View File
@@ -1,253 +0,0 @@
"""Get data from an h5 file or BEC history and perform fitting."""
import numpy as np
from lmfit.models import (
GaussianModel,
LorentzianModel,
VoigtModel,
ConstantModel,
LinearModel,
)
from scipy.ndimage import gaussian_filter1d
import h5py
import matplotlib.pyplot as plt
def create_fit_parameters(
deriv: bool = False,
model: str = "Voigt",
baseline: str = "Linear",
smoothing: None = None,
):
"""Store the fit parameters in a dictionary."""
# map input model to lmfit model name
model_mappings = {
"Gaussian": GaussianModel,
"Lorentzian": LorentzianModel,
"Voigt": VoigtModel,
"Constant": ConstantModel,
"Linear": LinearModel,
}
return {
"deriv": deriv,
"model": model_mappings[model],
"baseline": model_mappings[baseline],
"smoothing": smoothing,
}
def get_data_from_h5(signal_name: str = "lu_bpmsum"):
"""Get data from an h5 file."""
with h5py.File("scan_676.h5", "r") as f:
entry = f["entry"]["collection"]
y_data = entry["devices"][signal_name][signal_name]["value"][:]
motor_data = entry["metadata"]["bec"]
motor_name = motor_data["scan_motors"][0].decode()
scan_number = motor_data["scan_number"][()]
x_data = entry["devices"][motor_name][motor_name]["value"][:]
return {
"x_data": x_data,
"y_data": y_data,
"signal_name": signal_name,
"motor_name": motor_name,
"scan_number": str(scan_number),
}
def get_data_from_history(
history_index: int,
signal_name: str = "lu_bpmsum",
):
"""Read data from the BEC history and return the X and Y data as arrays."""
scan = bec.history[history_index]
md = scan.metadata["bec"]
motor_name = md["scan_motors"][0].decode()
scan_number = md["scan_number"]
x_data = scan.devices[motor_name][motor_name].read()["value"]
y_data = scan.devices[signal_name][signal_name].read()["value"]
return {
"signal_name": signal_name,
"x_data": x_data,
"y_data": y_data,
"motor_name": motor_name,
"scan_number": scan_number,
}
def process_data(data, fit_params):
"""
Process the signal data for fitting based on derivative or smoothing.
"""
smoothing, deriv = fit_params["smoothing"], fit_params["deriv"]
signal_name = data["signal_name"]
y_data = data["y_data"]
if deriv:
if smoothing:
y_smooth = gaussian_filter1d(y_data, smoothing)
fitting_data = np.gradient(y_smooth)
signal_name = f"Derivative of smoothed {signal_name}"
else:
fitting_data = np.gradient(y_data)
signal_name = f"Derivative of {signal_name}"
elif smoothing and smoothing > 0.01:
fitting_data = gaussian_filter1d(y_data, smoothing)
signal_name = f"Smoothed {signal_name}"
else:
fitting_data = y_data
updated_data = {
"y_to_fit": fitting_data,
"signal_name": signal_name,
}
data.update(updated_data)
return data
def fit(data, fit_params):
"""Fit a signal to a model and return the fitting results."""
# Create the model
peak_model = fit_params["model"](prefix="peak_")
baseline_model = fit_params["baseline"](prefix="base_")
full_model = peak_model + baseline_model
# Prepare data
processed_data = process_data(data, fit_params)
params = full_model.make_params()
y_min = np.min(processed_data["y_to_fit"])
# Configure baseline parameters
if fit_params["baseline"] == ConstantModel:
params["base_c"].set(value=y_min)
elif fit_params["baseline"] == LinearModel:
params["base_intercept"].set(value=y_min)
params["base_slope"].set(value=0)
# Add peak-specific parameters
params.update(
peak_model.guess(processed_data["y_to_fit"], x=processed_data["x_data"])
)
# Perform the fitting
lmfit_result = full_model.fit(
processed_data["y_to_fit"], params, x=processed_data["x_data"]
)
# Find the X that gives the max Y
max_index = np.argmax(processed_data["y_to_fit"])
x_max = processed_data["x_data"][max_index]
# Generate data for a smoothed fit curve
fit_xdata = np.linspace(np.min(data["x_data"]), np.max(data["x_data"]), 500)
fit_ydata = lmfit_result.eval(x=fit_xdata, params=lmfit_result.params)
# Collect results
return {
"model": fit_params["model"].__name__,
"fwhm": lmfit_result.params["peak_fwhm"].value,
"centre": lmfit_result.best_values["peak_center"],
"height": lmfit_result.params["peak_height"].value,
"chi_sq": lmfit_result.chisqr,
"lmfit_result": lmfit_result,
"x_max": x_max,
"fit_xdata": fit_xdata,
"fit_ydata": fit_ydata,
}
def plot_fitted_data(data, fit_result):
"""Plot the original data and the fitted model."""
plt.plot(data["x_data"], data["y_to_fit"], label="Data")
plt.plot(fit_result['fit_xdata'], fit_result['fit_ydata'], label="Fit")
plt.xlabel(data["motor_name"])
plt.ylabel(data["signal_name"])
plt.title(f"Scan {data['scan_number']}, fitted with {fit_result['model']}")
plt.grid(True)
plt.legend()
plt.show()
def select_bec_window(dock_area_name="Fitting"):
"""Check to see if the fitting results dock is already open and re-create it if not"""
open_docks = bec.gui.windows
if open_docks.get(dock_area_name) is None:
dock_area = bec.gui.new(dock_area_name)
wf = dock_area.new("Plot").new(bec.gui.available_widgets.Waveform)
text_box = dock_area.new("Results", position="bottom").new(
widget=bec.gui.available_widgets.TextBox
)
else:
wf = bec.gui.Fitting.Plot.Waveform
text_box = bec.gui.Fitting.Results.TextBox
return wf, text_box
def plot_live_data_bec(
motor_name,
signal_name,
window_name="Fitting"
):
"""
Plotting live data for motor and signal using BEC.
This function plots live data from a specified motor and signal.
It clears the current plot window, sets its title, labels the axes
with the provided motor and signal names, and initializes live plotting
on the given signal against the motor.
Args:
motor_name (str): The name of the motor to be used as the x-axis.
signal_name (str): The name of the signal to be used as the y-axis.
Returns:
None
"""
wf, text_box = select_bec_window(window_name)
text_box.set_plain_text("Plotting live data")
wf.clear_all()
wf.title = "Scan: Live scan"
wf.x_label = motor_name
wf.y_label = signal_name
wf.plot(x_name=motor_name, y_name=signal_name)
def plot_fitted_data_bec(
data,
fit_result,
):
"""
Plot fitted data and display fitting parameters in the specified window.
This function selects a BEC window and plots the original data along with the
fitted function. Additionally, it displays the fitting results in a text
box within the same window for better visualization of the fit results.
Parameters:
data : dict
Dictionary containing the original dataset, where 'x_data' and 'y_to_fit'
hold the independent variable and the dependent variable, respectively,
'scan_number' represents the scan number, 'motor_name' and 'signal_name'
provide axis labels.
fit_result : dict
Dictionary containing the results of the fit, including parameters such
as 'centre', 'fwhm', 'height', and the fitted model stored under
'lmfit_result', with its 'best_fit' attribute representing the fitted data.
"""
wf, text_box = select_bec_window()
fit_text = (
f"Fit parameters: Centre = {fit_result['centre']:.4f}, "
f"FWHM = {fit_result['fwhm']:.3f}, "
f"Height = {fit_result['height']:.4f}\n"
f"Model = {fit_result['model']}\n"
f"Chi sq = {fit_result['chi_sq']:.3g}"
)
text_box.set_plain_text(fit_text)
wf.clear_all()
wf.title = f"Scan: {data['scan_number']}"
wf.x_label = data["motor_name"]
wf.y_label = data["signal_name"]
wf.plot(x=data["x_data"], y=data["y_to_fit"], label="Data")
wf.plot(x=fit_result["fit_xdata"], y=fit_result["fit_ydata"], label="Fit")
wf.Fit.set(symbol_size = 0)
-321
View File
@@ -1,321 +0,0 @@
"""Use the methods in mx_basics to perform:
1) a go_to_peak scan, that scans a motor, finds the peak position and moves to peak
2) fits data from a bec history file
"""
from dataclasses import dataclass
import numpy as np
# from pxiii_parameters import FitDefaults, BPMScans, MirrorConfig
# from mx_basics import (
# create_fit_parameters,
# get_data_from_history,
# fit,
# plot_fitted_data_bec,
# plot_live_data_bec,
# )
# Method functions
def calculate_step_size(start: float, stop: float, steps: int) -> float:
"""
Provides the function to calculate the step size for dividing a specified range
into a given number of steps.
Args:
start: The starting value of the range.
stop: The stopping value of the range.
steps: The number of steps to divide the range into. Must be at least 1.
Raises:
ValueError: If the steps value is less than 1.
Returns:
The calculated step size as a float, rounded to three decimal places.
"""
if steps < 1:
raise ValueError("Number of steps must be at least 1.")
return round((stop - start) / steps, 3)
def move_to_position(motor_device, motor_name: str, position: float, data: dict):
"""
Function to move a specified motor device to a given position.
The function verifies if the requested position is within the scan range of the
motor device provided. If the position is outside the range, the motor is
moved to the center of its scan range, an error message is raised, and the
operation is halted. If the position is valid, the motor is moved to the
specified position.
Parameters:
motor_device: The motor device to be moved.
motor_name: str
The name of the motor as a string
position: float
The desired position to move the motor to. Position should be within
the scan range of the motor determined by the provided data.
data: dict
A dictionary containing "x_data", which is used to determine the
scan range of the motor.
Raises:
ValueError: Raised if the specified position is outside the valid scan
range determined by "x_data" in the data dictionary. The motor will
return to the center of its scan range in this case.
"""
motor_min = np.min(data["x_data"])
motor_max = np.max(data["x_data"])
motor_centre = (motor_max + motor_min) / 2
if not motor_min <= position <= motor_max:
scans.umv(motor_device, motor_centre, relative=False)
msg = (
f"Position {position: .2f} is outside the scan range of "
f"{motor_min: .2f} to {motor_max: .2f}. "
f"Returning to centre of scan range {motor_centre: .3f}."
)
raise ValueError(msg)
motor_position = round(position, 4)
scans.umv(motor_device, motor_position, relative=False)
print(f"\n Moving {motor_name} to position {motor_position: .3f}")
@dataclass(frozen=True)
class FitDefaults:
"""Default values for fitting routines"""
# Constants for default models, baselines, and parameters
MODEL = "Voigt"
BASELINE = "Linear"
SETTLE_TIME = 0.1
RELATIVE_MODE = True
def go_to_peak(
motor_device,
signal_device,
start: float,
stop: float,
steps: int,
relative: bool = FitDefaults.RELATIVE_MODE,
plot: bool = True,
settle: float = FitDefaults.SETTLE_TIME,
confirm: bool = True,
gomax: bool = False,
):
"""
Go to the peak of a signal by scanning a motor within a specified range and
identifying the optimal position based on signal peak data.
Parameters:
motor_device: The motor device to be scanned.
signal_device: The signal device to monitor during the scan.
start (float): The starting position of the scan. Ignored if `relative` is True.
stop (float): The ending position of the scan. Ignored if `relative` is True.
steps (int): The number of steps to divide the scan range into.
relative (bool, optional): If True, interpret `start` and `stop` as relative to
the current motor position. Defaults to RELATIVE_MODE constant.
plot (bool, optional): If True, plot the scan data and the fitted results.
Defaults to True.
settle (float, optional): The time in seconds to wait after each step for the
signal to stabilize. Defaults to DEFAULT_SETTLE_TIME constant.
confirm (bool, optional): If True, ask for user confirmation before starting
the scan. Defaults to True.
Raises:
Exception: Raises exceptions potentially raised by dependent functions or
operations such as plotting, fitting, or motor movement.
Returns:
None
"""
motor_name = motor_device.name
signal_name = signal_device.name
# wf.plot(x_name=motor_name, y_name=signal_name)
if plot:
plot_live_data_bec(motor_name, signal_name)
# Validate and calculate step size
step_size = calculate_step_size(start, stop, steps)
# Confirm the scan range
# current_motor_position = motor_device.user_readback.get()
current_motor_position = motor_device.read()[motor_name]["value"]
if confirm:
if relative:
scan_start = current_motor_position + start
scan_end = current_motor_position + stop
print(
f"\nScanning from {scan_start: .6g} to {scan_end: .6g} in "
f"{steps} steps of size {step_size}"
)
print(f"Relative mode = {relative}")
else:
print(
f"\nScanning from {start: .5g} to {stop: .5g} in {steps} steps of size {step_size}"
)
print(f"Relative mode = {relative}")
input("Press Enter to continue...")
# Perform the scan
scan_result = scans.line_scan(
motor_device, start, stop, steps=steps, relative=relative, settling_time=settle
)
motor_data = scan_result.scan.live_data[motor_name][motor_name].val
signal_data = scan_result.scan.live_data[signal_name][signal_name].val
scan_number = "Current"
data = {
"x_data": np.array(motor_data),
"y_data": np.array(signal_data),
"motor_name": motor_name,
"signal_name": signal_name,
"motor_device": motor_device,
"scan_number": scan_number,
}
# Define and fit model to scan data
fit_params = create_fit_parameters(False, FitDefaults.MODEL, FitDefaults.BASELINE)
fit_result = fit(data, fit_params)
# Plot the fitted data if plot = True
if plot:
plot_fitted_data_bec(data, fit_result)
# If gomax is set then move to the maximum value, rather than the fit centre
if gomax:
value = fit_result["x_max"]
print(f"Max position is at {value}")
move_to_position(data["motor_device"], data["motor_name"], fit_result["x_max"], data)
else:
# Safely move the motor to the peak position
move_to_position(data["motor_device"], data["motor_name"], fit_result["centre"], data)
def fit_history(
history_index: int,
signal_name: str,
deriv: bool = False,
model: str = FitDefaults.MODEL,
move_to_peak: bool = False,
):
"""
Retrieve and analyze historical data by fitting a model, optionally moving to
a peak position.
Parameters:
history_index (int): Index of the historical data set to retrieve.
signal_name (str): Name of the signal to fit.
deriv (bool, optional): Whether to include the derivative in the fitting
procedure. Defaults to False.
model (str, optional): Name of the model to use for fitting. Defaults to
DEFAULT_MODEL.
move_to_peak (bool, optional): Whether to move the motor to the peak position
after fitting. Defaults to False.
Raises:
KeyError: If required keys are not found in the retrieved data dictionary.
ValueError: If the fitting process fails or produces invalid results.
Returns:
None
"""
# Retrieve historical data
data = get_data_from_history(history_index, signal_name)
# Define fitting parameters
fit_params = create_fit_parameters(deriv, model, FitDefaults.BASELINE)
# Perform fit and plot the data
fit_result = fit(data, fit_params)
plot_fitted_data_bec(data, fit_result)
# Optionally move the motor to the peak position
if move_to_peak:
move_to_position(data["motor_device"], data["motor_name"], fit_result["centre"], data)
def scan_bpm(bpmname):
"""
Runs a grid scan of a BPM in x and y, and plots each channel
as a heatmap.
Parameters:
bpmname: the name of the bpm to be scanned e.g. "fe"
"""
# Open a dock area and set up the heatmaps
dock_area = bec.gui.new("XBPM_Scan")
wf5 = dock_area.new("Sum").new(bec.gui.available_widgets.Heatmap)
wf1 = dock_area.new("Ch1", relative_to="Sum", position="bottom").new(
bec.gui.available_widgets.Heatmap
)
wf3 = dock_area.new("Ch3", relative_to="Ch1", position="right").new(
bec.gui.available_widgets.Heatmap
)
wf4 = dock_area.new("Ch4", relative_to="Ch3", position="bottom").new(
bec.gui.available_widgets.Heatmap
)
wf2 = dock_area.new("Ch2", relative_to="Ch1", position="bottom").new(
bec.gui.available_widgets.Heatmap
)
wfscan = dock_area.new("ScanControl").new(bec.gui.available_widgets.ScanControl)
cfg = getattr(BPMScans, bpmname)
wf1.x_label = cfg["x_name"]
wf1.y_label = cfg["y_name"]
wf1.plot(x_name=cfg["x_name"], y_name=cfg["y_name"], z_name=cfg["z1_name"], color_map="plasma")
wf2.x_label = cfg["x_name"]
wf2.y_label = cfg["y_name"]
wf2.plot(x_name=cfg["x_name"], y_name=cfg["y_name"], z_name=cfg["z2_name"], color_map="plasma")
wf3.x_label = cfg["x_name"]
wf3.y_label = cfg["y_name"]
wf3.plot(x_name=cfg["x_name"], y_name=cfg["y_name"], z_name=cfg["z3_name"], color_map="plasma")
wf4.x_label = cfg["x_name"]
wf4.y_label = cfg["y_name"]
wf4.plot(x_name=cfg["x_name"], y_name=cfg["y_name"], z_name=cfg["z4_name"], color_map="plasma")
wf5.x_label = cfg["x_name"]
wf5.y_label = cfg["y_name"]
wf5.plot(x_name=cfg["x_name"], y_name=cfg["y_name"], z_name=cfg["z5_name"], color_map="plasma")
# Run the scan
x_mot = cfg["x_device"]
y_mot = cfg["y_device"]
# scans.grid_scan(x_mot, -0.5, 0.5, 20, y_mot, -0.5, 0.5, 20,
# exp_time=0.5, relative=False, snaked=True)
def optimise_kb(mirror):
"""
Runs a grid scan of a the upstream and downstream benders,
and plots a heatmap of the sample camera x or y sigma.
Parameters:
mirror: either "hfm" or :vfm"
"""
# Open a dock area and set up the heatmaps
dock_area = bec.gui.new(mirror)
wf1 = dock_area.new("Heatmap").new(bec.gui.available_widgets.Heatmap)
wfscan = dock_area.new("ScanControl").new(bec.gui.available_widgets.ScanControl)
cfg = getattr(MirrorConfig, mirror)
wf1.x_label = cfg["bu_name"]
wf1.y_label = cfg["bd_name"]
wf1.plot(x_name=cfg["bu_name"], y_name=cfg["bd_name"], z_name=cfg["z_name"], color_map="plasma")
# Run the scan
x_mot = cfg["x_device"]
y_mot = cfg["y_device"]
# scans.grid_scan(x_mot, -0.02, 0.02, 11, y_mot, -0.02, 0.02, 11,
# exp_time=0.5, relative=True, snaked=True)
-249
View File
@@ -1,249 +0,0 @@
"""Script to change energy at PXII by setting gap, DCM motors and mirror stripe
Moving DCM motors - implemented for Bragg, pitch and perp
Gap - optional, can be switched off using move_gap=False
Mirrors - change of mirror stripe is not yet implemented
Plotting optional
"""
import numpy as np
# from pxii_gap import set_gap
# from mx_methods import go_to_peak
# from pxii_parameters import EnergyDefaults, Calibration
# from calculator import (
# calc_perp_position,
# validate_energy,
# convert_from_bragg,
# convert_from_energy,
# )
def get_current_energy():
"""
Returns the energy in eV from the current bragg angle.
"""
current_bragg_angle = dev.dcm_bragg.user_readback.get()
current_energy = convert_from_bragg(current_bragg_angle, print_result=False)["energy_ev"]
return current_energy
# Functions below are common to all beamlines
def calculate_energy_difference(current_energy, target_energy):
"""
Calculate the absolute difference in energy between the current energy level
and the target energy level.
"""
return abs(target_energy - current_energy)
def get_mirror_stripe(energy_ev):
"""
Determines the mirror stripe material based on the energy level provided
and the specified thresholds for silicon, rhodium, and platinum.
Args:
energy_ev (float): Energy level in electron volts, used to determine
the corresponding material type.
Returns:
str: A string indicating the material type corresponding to the provided
energy level. Possible values are "silicon", "rhodium", or "platinum".
"""
if energy_ev <= EnergyDefaults.stripe_thresholds["silicon"]:
return "silicon"
if (
EnergyDefaults.stripe_thresholds["silicon"]
< energy_ev
<= EnergyDefaults.stripe_thresholds["rhodium"]
):
return "rhodium"
return "platinum"
def set_mirror_stripe(energy_ev):
"""
Selects and sets the appropriate mirror stripe based on the given energy value
in electron volts (eV).
Args:
energy_ev (float): The energy value in electron volts
Returns:
None
"""
selected_stripe = get_mirror_stripe(energy_ev)
print(f"Selected mirror stripe: {selected_stripe}")
def mono_pitch_scan(plot=True):
"""Scan the monochromator pitch and move to the peak."""
# Move to the calculated pitch value for the current energy
print("Starting Mono Pitch Scan.")
energy = get_current_energy()
pos = get_dcm_motors_positions(energy)
print(f"Setting DCM Pitch to default value of {pos['dcm_pitch']}")
scans.umv(EnergyDefaults.mono_pitch, pos["dcm_pitch"], relative=False)
# Go to peak using default parameters from EnergyDefaults
if plot:
print("Scanning monochromator pitch and moving to peak, with plotting.")
go_to_peak(
EnergyDefaults.mono_pitch,
EnergyDefaults.signals["sig1"],
-EnergyDefaults.pitch_scan["halfwidth"],
EnergyDefaults.pitch_scan["halfwidth"],
steps=EnergyDefaults.pitch_scan["steps"],
relative=True,
settle=0.01,
plot=True,
confirm=False,
)
else:
print("Scanning monochromator pitch and moving to peak, without plotting.")
go_to_peak(
EnergyDefaults.mono_pitch,
EnergyDefaults.signals["sig1"],
-EnergyDefaults.pitch_scan["halfwidth"],
EnergyDefaults.pitch_scan["halfwidth"],
steps=EnergyDefaults.pitch_scan["steps"],
relative=True,
settle=0.01,
plot=False,
confirm=False,
)
# Specific functions - need to be edited for each beamline
def move_gap_if_needed(energy_ev, move_gap=False):
"""
Move the gap position based on energy if the move_gap flag is set.
Args:
energy_ev (float): The energy value in electron volts (eV) used for gap movement.
move_gap (bool): A flag indicating whether the gap position should be moved or not.
Returns:
None
"""
if move_gap:
set_gap(energy_ev)
else:
print("Not moving gap.")
# def get_roll(energy_ev):
# """Calculates the roll based on calibration data."""
# calib = Calibration()
# roll = np.poly1d(calib.roll)(energy_ev)
# if roll < 0:
# return 0
# if roll >= 9.95:
# return 9.95
# return float(roll)
def get_dcm_motors_positions(energy_ev):
"""
Pitch and roll are calculated based on fits of the measured calibration values.
Perp and Bragg are calculated based on the energy value via calculator.py.
Arguments:
energy_ev (float): The energy value in electron volts for which the
DCM motor positions are to be calculated.
Returns:
dict: A dictionary containing the calculated DCM motor positions
including values retrieved from the lookup table, Bragg angle
in milliradians, and perpendicular position.
"""
# dcm_motor_values = get_value_from_lut(energy_ev)
dcm_motor_values = {}
# pitch = float(np.poly1d(Calibration.pitch)(energy_ev))
pitch = -5.304
roll = EnergyDefaults.mono_roll_value
perp = calc_perp_position(energy_ev, print_result=False)
bragg_angle = convert_from_energy(energy_ev, print_result=False)["bragg_angle_mrad"]
dcm_motor_values.update(
{"bragg_angle": bragg_angle, "perp": perp, "dcm_pitch": pitch, "dcm_roll": roll}
)
return dcm_motor_values
def move_dcm_motors(energy_ev):
"""
Move the DCM bragg, pitch and perp motors to the required positions
for the given energy in eV.
"""
dcm_pos = get_dcm_motors_positions(energy_ev)
print(
f"Moving DCM bragg: {dcm_pos['bragg_angle']: .5g} mrad, "
f"DCM perp: {dcm_pos['perp']: .3g} mm, "
f"DCM pitch fixed at -5.304 mrad, "
# f"DCM pitch: {dcm_pos['dcm_pitch']: .5g} mrad, "
f"DCM Roll: {dcm_pos['dcm_roll']:.5g} V"
)
# umv(EnergyDefaults.energy, dcm_pos["bragg_angle"])
# umv(EnergyDefaults.mono_perp, dcm_pos["perp"])
# umv(EnergyDefaults.mono_pitch, dcm_pos["dcm_pitch"])
# umv(EnergyDefaults.mono_roll, dcm_pos["dcm_roll"])
# print("\n***DCM Roll movement is currently disabled ***\n")
scans.umv(
EnergyDefaults.energy,
dcm_pos["bragg_angle"],
EnergyDefaults.mono_perp,
dcm_pos["perp"],
EnergyDefaults.mono_pitch,
dcm_pos["dcm_pitch"],
EnergyDefaults.mono_roll,
dcm_pos["dcm_roll"],
relative=False,
)
def bl_energy(energy_ev, move_gap=False, mono_scan=True, plot=True):
"""
Adjusts the beamline's energy to the specified energy in electron volts (eV).
The function validates the target energy, checks the current energy, and makes
adjustments only if the energy difference is significant enough. It performs
necessary operations including moving the gap, changing DCM motors, updating
the mirror stripe, and scanning to find the optimal DCM pitch.
Args:
energy_ev: Target energy in electron volts to which the beamline should be adjusted.
move_gap: Boolean flag indicating whether to adjust the gap before setting energy.
plot: Boolean flag indicating whether to plot the DCM pitch scan for finding the peak.
Returns:
None
"""
energy_ev = validate_energy(energy_ev) # Ensure energy is valid.
# Check current energy to avoid unnecessary adjustments.
current_energy = get_current_energy()
energy_diff = calculate_energy_difference(current_energy, energy_ev)
if energy_diff <= EnergyDefaults.min_energy_change:
print(f"Energy change of {energy_diff:.2f} eV is too small, not changing energy.")
return
# Step 1: Move the gap if needed.
move_gap_if_needed(energy_ev, move_gap)
# Step 2: Move and set the DCM motors.
move_dcm_motors(energy_ev)
# Step 3: Update the mirror stripe.
set_mirror_stripe(energy_ev)
# Step 4: Perform DCM pitch scan and move to peak.
if mono_scan:
if plot:
mono_pitch_scan(plot=True)
else:
mono_pitch_scan(plot=False)
-280
View File
@@ -1,280 +0,0 @@
"""Guards for preventing clashing devices in
the sample environment"""
# PD_guards2.py
from dataclasses import dataclass, field
from typing import Callable, List, Dict
# ----------------------------
# Exceptions
# ----------------------------
class GuardViolation(RuntimeError):
"""Raised when a guarded move is not allowed."""
# ----------------------------
# Guarded axis
# ----------------------------
class GuardedAxis:
""" Motor axis protected by guard policy """
def __init__(
self,
bec_name: str,
policy: Callable[[float], None],
config: Dict[str, float] = None
):
self.bec_name = bec_name
self.policy = policy
self.config = config or {}
self.mot = getattr(dev, self.bec_name)
@property
def actual(self) -> float:
"""Returns the current motor position"""
return self.mot.read()[self.bec_name]["value"]
def move(self, target: float):
"""Used to move a guarded axis to a target value"""
self.policy(target) # must raise if disallowed
scans.umv(self.mot, target, relative=False)
# ----------------------------
# Positioned device (IN / OUT)
# ----------------------------
@dataclass
class PositionedDevice:
"""Applies to devices that only have IN and OUT positions
Guards are defined by guard rules to ensure their safe operation"""
bec_name: str
inpos: float
outpos: float
tol: float = 0.01
guards: List[Callable[[], None]] = field(default_factory=list)
def __post_init__(self):
self.mot = getattr(dev, self.bec_name)
def _check_guards(self):
for g in self.guards:
g()
def mvin(self):
"""Move a positioned device to IN position"""
self._check_guards()
scans.umv(self.mot, self.inpos, relative=False)
def mvout(self):
"""Move a positioned device to OUT position"""
self._check_guards()
scans.umv(self.mot, self.outpos, relative=False)
def is_in(self):
"""Returns true if the device is IN"""
return abs(self.mot.read()[self.bec_name]["value"] - self.inpos) <= self.tol
def is_out(self):
"""Returns true if the device is OUT"""
return abs(self.mot.read()[self.bec_name]["value"] - self.outpos) <= self.tol
@dataclass
class MultiPositionDevice:
""" Devices that have multiple defined positions. Guards rules are defined to
ensure their safe operation"""
bec_name: str
positions: Dict[str, float] # {"out": 0.0, "scint": 10.0, "i1": 20.0}
tol: float = 0.01
guards: List[Callable[[], None]] = field(default_factory=list)
def __post_init__(self):
self.mot = getattr(dev, self.bec_name)
def _check_guards(self):
"""Check guard conditions"""
for g in self.guards:
g()
def move_to(self, state: str):
"""Move to one of the states defined in self.positions"""
if state not in self.positions:
raise ValueError(f"Unknown state '{state}'")
self._check_guards()
scans.umv(self.mot, self.positions[state], relative=False)
def is_at(self, state: str) -> bool:
"""Check if device is at a given state"""
if state not in self.positions:
raise ValueError(f"Unknown state '{state}'")
return abs(self.mot.read()[self.bec_name]["value"] - self.positions[state]) <= self.tol
@property
def actual(self) -> float:
"""Returns current motor position"""
return self.mot.read()[self.bec_name]["value"]
@property
def state(self) -> str:
"""Returns current state"""
for name, pos in self.positions.items():
if abs(self.mot.read()[self.bec_name]["value"] - pos) <= self.tol:
return name
return "unknown"
def is_clear(self):
"""Returns true if device is at OUT or below e.g. PARK"""
if "out" not in self.positions:
raise ValueError("MultiPosition device requires 'out' state")
return self.actual < (self.positions["out"] + self.tol)
# ----------------------------
# PD namespace (filled at runtime)
# ----------------------------
class PD:
"""Populated when the PD devices are initialised"""
pass
# ----------------------------
# Guard rules for BS_Z
# ----------------------------
# BS positioner must be in for BS_Z to move
def bs_z_requires_bs_pos_in():
"""Cannot move bs_z unless the BS positioner is in"""
if not PD.bs_pos.is_in():
raise GuardViolation("BS_Z cannot move unless beamstop positioner is IN")
def bs_z_range_check(target):
"""Checks that the target position is within limits"""
cfg = PD.bs_z.config
# Lower bound
if target < cfg["work_min"] and not is_sample_area_clear(beamstop=True):
raise GuardViolation(
f"Requested beamstop Z {target} is below working range minimum {cfg['work_min']}"
)
if target < cfg["min"]:
raise GuardViolation(
f"Requested beamstop Z {target} is below absolute minimum {cfg['min']}"
)
# Maximum position depend on backlight position
if PD.bl_pos.is_in():
if target > cfg["max_blin"]:
raise GuardViolation(
f"Requested beamstop Z value of {target} mm exceeds maximum allowed"
f"value of {cfg['max_blin']} while backlight is IN"
)
else:
if target > cfg["max_blout"]:
raise GuardViolation(
f"Requested beamstop Z value of {target} mm exceeds maximum allowed "
f"value of {cfg['max_blout']} mm"
)
def is_sample_area_clear(beamstop=True):
"""Check if the sample area is clear, raising GuardViolation if constraints are not met."""
if beamstop:
# Check collimator, and diagnostic device positions
if not PD.coll_y.is_clear():
raise GuardViolation("Sample area is not clear: Collimator is IN")
if not PD.diag_y.is_clear():
raise GuardViolation("Sample area is not clear: Diagnostic device is IN")
# Validate goniometer position
if not abs(PD.gon_x.actual - PD.gon_x.config["out"]) < PD.gon_x.config["tol"]:
raise GuardViolation("Sample area is not clear: Goniometer is IN")
else:
# Check that diagnostic (scintillator/i1) device is out
if not PD.diag_y.is_clear():
raise GuardViolation("Sample are is not clear: Diagnostic device is IN")
return True
def bs_z_policy(target):
"""Defines the policy for bs_z operation"""
# Beamstop z can only move when the positioner is in
bs_z_requires_bs_pos_in()
# Check the allowed range for bs_z
bs_z_range_check(target)
return True
def gon_x_policy(target):
"""Defines the policy for gon_x operation"""
is_sample_area_clear(beamstop=False)
bs_z_above_work_min()
return True
def bs_pos_requires_bs_z_safe():
"""bs_pos can only move when bs_z is at the safe position"""
safe = PD.bs_z.config["safe"]
actual = PD.bs_z.actual
tol = 0.1
if abs(actual - safe) > tol:
raise GuardViolation(f"Beamstop positioner can only move when BS_Z is at {safe} mm")
def bs_z_above_work_min():
"""work_min specifies the minimum bs_z value that is
outside of the sample area i.e. no clashes with diagnostic
device or collimator"""
work_min = PD.bs_z.config["work_min"]
if PD.bs_z.actual < work_min:
raise GuardViolation(f"BS_Z must be greater than {work_min} mm")
def bs_z_below_max_blin():
"""Maximum bs_z vale when the backlight is in"""
max_blin = PD.bs_z.config["max_blin"]
if PD.bs_z.actual > max_blin:
raise GuardViolation(f"BS_Z must be less than {max_blin} mm")
def gonio_is_out():
"""Maximum bs_z value when the backlight is out"""
if not abs(PD.gon_x.actual - PD.gon_x.config["out"]) < PD.gon_x.config["tol"]:
raise GuardViolation(f"Goniometer must be OUT ({PD.gon_x.config['out']} mm)")
def get_policy_for_axis(bec_name):
"""Specify the policy for guarded axis"""
policy_registry = {"bs_z": bs_z_policy, "gon_x": gon_x_policy}
return policy_registry.get(bec_name, lambda target: True)
def init_collision_guards():
"""Add the guard rules for positioned devices"""
PD.bs_pos.guards.append(bs_pos_requires_bs_z_safe)
PD.bl_pos.guards.append(bs_z_below_max_blin)
PD.coll_y.guards.append(bs_z_above_work_min)
PD.diag_y.guards.append(bs_z_above_work_min)
PD.diag_y.guards.append(gonio_is_out)
PD.diag_y.guards.append(bs_z_requires_bs_pos_in)
def init_positioned_devices():
"""Initialises the positioned devices"""
file = "/sls/x10sa/config/bec/production/pxii_bec/pxii_bec/device_configs/pxii-autogenerated.yaml"
build_pd(file)
init_collision_guards()
print(f"Defined positions for devices have been updated from {file}")
-190
View File
@@ -1,190 +0,0 @@
"""File to store beamline parameters and defaults"""
from dataclasses import dataclass
import numpy as np
@dataclass(frozen=True)
class EnergyDefaults:
"""Parameters for PXII energy changes"""
min_energy_change = 1
min_energy_ev = 4800
max_energy_ev = 30002
beam_offset = 6
signals = {"sig1": dev.lu_bpmsum, "sig2": dev.ss_bpmsum, "sig3": dev.bcu_bpmsum}
energy = dev.dcm_bragg
mono_pitch = dev.dcm_pitch
mono_perp = dev.dcm_perp
mono_roll = dev.dcm_froll
mono_roll_value = 4.65
LUT_table = "luts/energy_lut.csv"
stripe_thresholds = {"silicon": 9000, "rhodium": 20000, "platinum": 40000}
pitch_scan = {"halfwidth": 0.075, "steps": 20}
@dataclass(frozen=True)
class Calibration:
"""Calibration parameters for PXII optics"""
pitch = np.array([4.61823701e-14, -1.97330772e-09, 2.89694543e-05, -5.34468669e00])
roll = np.array([2.28291039e-03, -2.41928101e01])
@dataclass(frozen=True)
class Gap:
"""Fit parameters to calculate gap from harmonics"""
harmonics = {
"H3": np.array([9.15e-04, 4.49e-01]),
"H5": np.array([5.19e-04, 7.149e-01]),
"H7": np.array([3.57694643e-04, 8.73775476e-01]),
"H9": np.array([2.76335714e-04, 8.98471905e-01]),
"H11": np.array([2.2225e-04, 9.582e-01]),
"H13": np.array([1.9e-4, 9.262e-01]),
"H15": np.array([1.67e-4, 8.83e-01]),
}
# Define harmonic ranges as a constant
harmonic_ranges = {
"H3": (4900, 7000),
"H5": (7000, 10000),
"H7": (10000, 13000),
"H9": (13000, 16000),
"H11": (16000, 19000),
"H13": (19000, 22000),
"H15": (22000, float("inf")),
}
@staticmethod
def get_harmonic_by_energy(energy_ev: float):
"""
Determines the harmonic key based on the provided energy.
Args:
energy_ev (float): The energy value (eV).
Returns:
Optional[str]: The harmonic name (e.g., 'H3', 'H7')
if the range matches, None otherwise.
"""
for harmonic, (low, high) in Gap.harmonic_ranges.items():
if low < energy_ev <= high:
return harmonic
return None
def get_harmonic_values(self, energy_ev: float):
"""
Retrieves the harmonic array based on the energy value.
Args:
energy_ev (float): The energy value (eV).
Returns:
Optional[np.array]: The corresponding array of harmonic values
if the range matches, None otherwise.
"""
harmonic = self.get_harmonic_by_energy(energy_ev)
return self.harmonics.get(harmonic) if harmonic else None
@dataclass(frozen=True)
class Harmonics:
"""Anuschka's harmonics data for PXII U19 Undulator"""
min_gap_value = 4.5
map = {
3: np.array([1.07141725, -0.52834258]),
4: np.array([0.007111, -0.13678409, 1.52295567, -1.06882785]),
5: np.array([0.00315051, -0.0766359, 1.13107469, -0.86442062]),
6: np.array([0.00162862, -0.04452336, 0.82948259, -0.37329674]),
7: np.array([0.00080764, -0.02418882, 0.59212947, 0.15702886]),
8: np.array([1.16699242e-03, -4.68207543e-02, 9.43972396e-01, -1.94201019e00]),
9: np.array([0.00048419, -0.02010648, 0.55514114, -0.38180067]),
10: np.array([2.11583333e-04, -8.03503571e-03, 3.43141595e-01, 6.02318000e-01]),
11: np.array([0.00334392, -0.18405336, 3.58338994, -19.3640241]),
12: np.array([3.20520798e-05, 2.39253145e-03, 8.09198503e-02, 2.22897377e00]),
13: np.array([0.00278744, 0.07979874, 2.05143916]),
}
energy_ranges = {3: (0, 7), 5: (7, 10), 7: (10, 13), 9: (13, 16), 11: (16, 19), 13: (19, 22)}
high_energy = [(15, (23, 25)), (17, (25, 29)), (19, (29, float("inf")))]
@dataclass(frozen=True)
class CamConversion:
"""Convert pixels to microns for sam cam"""
a = 0.5208
b = 0.002586
@dataclass(frozen=True)
class BPMScans:
"""Define the names of the motors and bpm channels"""
fe = {
"x_name": dev.fe_bpm_x.name,
"y_name": dev.fe_bpm_y.name,
"z1_name": dev.fe_bpm1.name,
"z2_name": dev.fe_bpm2.name,
"z3_name": dev.fe_bpm3.name,
"z4_name": dev.fe_bpm3.name,
"z5_name": dev.fe_bpmsum.name,
"x_device": dev.fe_bpm_x,
"y_device": dev.fe_bpm_y,
}
lu = {
"x_name": dev.lu_bpm_x.name,
"y_name": dev.lu_bpm_y.name,
"z1_name": dev.lu_bpm1.name,
"z2_name": dev.lu_bpm2.name,
"z3_name": dev.lu_bpm3.name,
"z4_name": dev.lu_bpm4.name,
"z5_name": dev.lu_bpmsum.name,
"x_device": dev.lu_bpm_x,
"y_device": dev.lu_bpm_y,
}
bsc = {
"x_name": dev.ss_bpm_x.name,
"y_name": dev.ss_bpm_y.name,
"z1_name": dev.ss_bpm1.name,
"z2_name": dev.ss_bpm2.name,
"z3_name": dev.ss_bpm3.name,
"z4_name": dev.ss_bpm4.name,
"z5_name": dev.ss_bpmsum.name,
"x_device": dev.ss_bpm_x,
"y_device": dev.ss_bpm_y,
}
bcu = {
"x_name": dev.bcu_bpm_x.name,
"y_name": dev.bcu_bpm_y.name,
"z1_name": dev.bcu_bpm1.name,
"z2_name": dev.bcu_bpm2.name,
"z3_name": dev.bcu_bpm3.name,
"z4_name": dev.bcu_bpm4.name,
"z5_name": dev.bcu_bpmsum.name,
"x_device": dev.bcu_bpm_x,
"y_device": dev.bcu_bpm_y,
}
@dataclass(frozen=True)
class MirrorConfig:
"""Define the names of the mirror channels"""
hfm = {
"bu_name": dev.hfm_bu.name,
"bd_name": dev.hfm_bd.name,
"z_name": dev.samcam_xsig.name,
"x_device": dev.hfm_bu,
"y_device": dev.hfm_bd,
}
vfm = {
"bu_name": dev.vfm_bu.name,
"bd_name": dev.vfm_bd.name,
"z_name": dev.samcam_ysig.name,
"x_device": dev.vfm_bu,
"y_device": dev.vfm_bd,
}
-75
View File
@@ -1,75 +0,0 @@
#!/usr/bin/env bash
#
# Script Name: set_kbox.sh
# Description: Sets a value on a given device, such as scinti, diode, colli
#
set -euo pipefail
#######################################
# Usage
#######################################
usage() {
echo "Usage: $(basename "$0") <device_name> <set_value>"
echo
echo "Example:"
echo " $(basename "$0") colli_in 41.5"
echo " $(basename "$0") colli_out 20."
echo " $(basename "$0") scinti_in 40."
echo " $(basename "$0") diode_in 44."
echo " $(basename "$0") diode_out 20. or"
echo " $(basename "$0") scinti_out 20."
exit 1
}
#######################################
# Validate Arguments
#######################################
if [[ $# -ne 2 ]]; then
usage
fi
DEVICE_NAME="$1"
SET_VALUE="$2"
if ! [[ "$SET_VALUE" =~ ^[0-9]+$ ]]; then
echo "Error: set_value must be numeric"
exit 1
fi
#######################################
# Main
#######################################
main() {
echo "Device: $DEVICE_NAME"
echo "Value : $SET_VALUE"
# --- Your logic here ---
# Example placeholder:
if [[ $DEVICE_NAME == "colli_in" ]]; then
echo "caput X10SA-ES-COL:POS-SET-SEQ.DO2 $SET_VALUE"
fi
if [[ $DEVICE_NAME == "colli_out" ]]; then
echo "caput X10SA-ES-COL:POS-SET-SEQ.DO1 $SET_VALUE"
fi
#
if [[ $DEVICE_NAME == "scinti_in" ]]; then
echo "caput X10SA-ES-SCL:POS-SET-SEQ.DO2 $SET_VALUE"
fi
if [[ $DEVICE_NAME == "diode_in" ]]; then
echo "caput X10SA-ES-SCL:POS-SET-SEQ.DO3 $SET_VALUE"
fi
if [[ $DEVICE_NAME == "scinti_out" || $DEVICE_NAME == "diode_out" ]]; then
echo "caput X10SA-ES-SCL:POS-SET-SEQ.DO1 $SET_VALUE"
fi
#
echo "Setting device '$DEVICE_NAME' to '$SET_VALUE'..."
# Simulate success
echo "Done."
}
main
-6
View File
@@ -1,6 +0,0 @@
print("Hello World")
try:
print(PD.coll_y.state)
print("success")
except Exception as e:
print(f"Error {e}")
-59
View File
@@ -1,59 +0,0 @@
"""
update_PD_from_yaml.py
Creates PositionedDevice, MultiPositionDevice and GuardedAxis
instances from YAML configuration.
"""
import yaml
def build_pd(yaml_file):
"""Takes the defined positions from the device yaml file
and adds them to the PD class
"""
pos_devs = []
mp_devs = []
ga_devs = []
with open(yaml_file, encoding="utf-8") as f:
data = yaml.safe_load(f)
for bec_name, cfg in data.items():
# Skip devices without userParameter
user = cfg.get("userParameter")
if not user:
continue
# ------------------------------------------------------------------
# Positioned device
# ------------------------------------------------------------------
if user["type"] == "positioner":
pos_devs.append(bec_name)
posdev = PositionedDevice(bec_name=bec_name, inpos=1.0, outpos=0.0)
setattr(PD, bec_name, posdev)
# ------------------------------------------------------------------
# Multi-position device
# ------------------------------------------------------------------
elif user["type"] == "multi-position":
mp_devs.append(bec_name)
positions = {k: v for k, v in user.items() if k != "type"}
mpdev = MultiPositionDevice(bec_name=bec_name, positions=positions)
setattr(PD, bec_name, mpdev)
# ------------------------------------------------------------------
# Guarded device
# ------------------------------------------------------------------
elif user["type"] == "guarded":
ga_devs.append(bec_name)
config = {k: v for k, v in user.items() if k != "type"}
gadev = GuardedAxis(
bec_name=bec_name, policy=get_policy_for_axis(bec_name), config=config
)
setattr(PD, bec_name, gadev)
print(f"Positioned devices: {pos_devs}")
print(f"Guarded axes: {ga_devs}")
print(f"Multi position devices: {mp_devs}")
+1 -1
View File
@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
[project]
name = "pxii_bec"
version = "0.0.0"
description = "A plugin repository for BEC"
description = "The PX-II plugin repository for BEC"
requires-python = ">=3.10"
classifiers = [
"Development Status :: 3 - Alpha",
-108
View File
@@ -1,108 +0,0 @@
import asyncio
import random
import time
from contextlib import asynccontextmanager
from typing import Iterable
import uvicorn
from fastapi import FastAPI, HTTPException, Query, Request
from pydantic import BaseModel
AXES = ["SHX", "SHY", "SHZ", "PHI", "CHI"]
class Motor:
def __init__(self, velocity: float = 1.0):
self.position = 0.0
self.target = 0.0
self.velocity = velocity
self.moving = False
self._last_update = time.monotonic()
def update(self):
now = time.monotonic()
dt = now - self._last_update
self._last_update = now
if not self.moving:
return
jitter_factor = random.random() * 0.05 - 0.025 # +- 2.5% jitter in step
distance = self.target - self.position
direction = 1 if distance > 0 else -1
step = direction * self.velocity * dt
if abs(step) >= abs(distance):
self.position = self.target + (step * jitter_factor)
self.moving = False
else:
self.position += step * (1 + jitter_factor)
motors: dict[str, Motor] = {
"SHX": Motor(velocity=3),
"SHY": Motor(velocity=2.5),
"SHZ": Motor(velocity=2),
"PHI": Motor(velocity=1.0),
"CHI": Motor(velocity=0.7),
}
class MoveRequest(BaseModel):
target: float
@asynccontextmanager
async def lifespan(app: FastAPI):
async def updater():
while True:
for motor in motors.values():
motor.update()
await asyncio.sleep(0.02) # 50 Hz update loop
task = asyncio.create_task(updater())
yield
task.cancel()
try:
await task
except asyncio.CancelledError:
pass
app = FastAPI(lifespan=lifespan)
def validate_axes(axes: Iterable[str] | None) -> list[str]:
if axes is None:
return AXES
for a in axes:
if a not in AXES:
raise HTTPException(status_code=404, detail=f"Unknown axis: {a}")
return list(axes)
@app.get("/readbackSCS")
async def readback_scs(axis: list[str] | None = Query(None)):
selected_axes = validate_axes(axis)
return {ax: motors[ax].position for ax in selected_axes}
@app.put("/targetSCS")
async def target_scs(req: Request):
targets = {ax: float(t) for ax, t in req.query_params.items()}
if targets is None:
return {}
selected_axes = validate_axes(targets.keys())
for a in selected_axes:
motor = motors[a]
motor.update()
motor.target = targets[a]
motor.moving = True
return {"targets": targets, "message": "Move started"}
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000, reload=False)