Package: linien-python-client
DEPRICATION NOTEThis package has been moved tolinien-clientas of Linien v0.6.0. Please have a look at theproject repositoryfor up to date installation instructions.LinienUser-friendly locking of lasers using RedPitaya (STEMlab 125-14) that just works.
Linien aims to follow the UNIX philosophy of doing a single thing (locking using intelligent algorithms) very well.
It was mainly developed for locking spectroscopy signals but may also be used for Pound-Drever-Hall or other lock-in techniques as well as simple PID operation.
Linien is built with Python andMigenand is based onred pid.FeaturesAll included: Sinusoidal modulation (up to 50 MHz), demodulation (1f to 5f), filtering
and servo implemented on the FPGA.Client-server architecture: Autonomous operation on RedPitaya.
One or multiple GUI clients or python clients can connect to the server.Autolock: Click and drag over a line, and Linien will
automatically lock to it. This algorithm is built to be noise and jitter tolerant.IQ demodulation: Optimize demodulation phase in an instantNoise analysis: Record power spectral density (PSD) of the error signal for analyzing noise of the locked laser and for optimizing PID parametersLock detection: Linien is capable of detecting loss of lock.Automatic relocking: in that case, it relocks autonomously (temporarily disabled, usev0.3.2if you rely in this feature)Machine learningis used to tune the spectroscopy parameters in order to optimize the signalRemote-controllable: the client libraries can be used to control or monitor the spectroscopy lock with python.Combined FMS+MTS: Linien supports dual-channel spectroscopy that can be
used to implementcombined
FMS+MTSLogging: Uselinien-influxdbto log the lock status to influxdb.Second integratoron (slow) analog output 0Additional analog outputsmay be used using the GUI or python client (ANALOG_OUT 1, 2 and 3)16 GPIO outputsmay be programmed (e.g. for controlling other devices)Getting started: install LinienLinien runs on Windows and Linux. For most users thestandalone
binariescontaining the graphical user interface
are recommended.
These binaries run on your lab PC and contain everything to get Linien running on your RedPitaya.If you want to use the python interface you shouldinstall it using pip.Standalone binaryYou can download standalone binaries for windows and linux onthe
releases
page(download the corresponding binary in the assets section of the latest version). On linux mark it as executable before executing:chmod+xlinien-linux*
./linien-linux*Installation with pipLinien is written for python 3 and can be installed using python's
package manager pip:pip3installlinienOn Linux, you may run the application by callinglinienin a terminal.If this doesn't work, your local bin directory (e.g. ~/.local/bin) is
probably missing in your PATH. In this case you can open Linien with
python:fromlinien.gui.appimportrun_applicationrun_application()In case you're only interested in the python client and don't want to install the graphical application, you may use thelinien-python-client, a subset of thelinienpackage:pip3installlinien-python-clientPhysical setupThe default setup looks like this:You can also configure Linien for different setups, e.g. if you want to
have the modulation frequency and the control on the same output. Additionally, it is possible to set up a slow integrator on ANALOG OUT 0 (0 V to 1.8 V).Using the applicationFirst run: connecting to the RedPitayaAfter launching Linien you should supply details of your RedPitaya. Its host address is usually given byrp-XXXXXX.local, whereXXXXXXare the last 6 digits of the device's MAC address. You will find them on a sticker on the ethernet port::exclamation: If connecting using host name fails, try using RP's IP address insteadDefault value for user name and password isroot(but you should probably change the password...).When connecting to a RedPitaya for the first time, the Linien offers you to install the server component. Please note that this requires internet access on the RedPitaya (LAN access is not sufficient).Once server libraries are installed, Linien will automatically run the server and connect to it. There's no need ever to start or stop anything on the server manually as the client takes care of this.The server now operates autonomously: closing the client application doesn't have any influence on the lock status. You may also start multiple clients connecting to the same server.Setting things upThe first thing to set up is the configuration of input and output signals:Connect your AC spectroscopy signal to FAST IN 1. If you also want to monitor the DC spectroscopy signal, connect it to FAST IN 2.Then, adapt the output signals to your needs:When you're done, head over toModulation, Sweep & Spectroscopyto configure modulation frequency and amplitude. Once your setup is working, you should see something like this:The bright red line is the demodulated spectroscopy signal. The dark red area is the signal strength obtained byiq demodulation, i.e. the demodulation signal obtained when demodulating in phase at this point.Fast ModeFast mode is intended for bare PID operation (no demodulation or filtering), bypassing most of the FPGA functionality. If enabled, the signal flow is FAST IN 1 → PID → FAST OUT 2. This is useful, if aiming for a high control bandwidth: fast mode reduces propagation delay from 320 ns to 125 ns which may make a difference when phase-locking lasers.Optimization of spectroscopy parameters using machine learning (optional)Linien may use machine learning to maximize the slope of a line. As for the autolock, click and drag over the line you want to optimize. Then, the line is centered and the optimization starts. Please note that this only works if initially a distinguished zero-crossing is visible.Using the autolockIn order to use the autolock, enter some PID parameters first. Note that the sign of the parameters is determined automatically. After clicking the green button, you can select the line you want to lock to by clicking and dragging over it: your selection should contain both extrema of the line. The autolock will then center this line, decrease the scan range and try to lock to the middle between minimum and maximum contained in your selection.The following options are available:Determine signal offset: If this checkbox is ticked, the autolock will adapt the y-offset of the signal such that the middle between minimum and maximum is at the zero crossing. This is especially useful if you have a large background signal (e.g. the Doppler background in FMS spectroscopy).Check lock: Directly after turning on the lock, the control signal is investigated. If it shifts too much, the lock is assumed to have failed.Watch lock: This option tells the Linien to continuously watch the control signal when the laser is locked. If steep changes are detected, a relock is initiated.If you experience trouble with the autolock, this is most likely due to a bad signal to noise ratio or strong laser jitter.Autolock algorithmsLinien implements two different autolock algorithms:Jitter-tolerant mode: this algorithm runs on FPGA and analyzes the peak shapes in order to turn on the lock at the right sweep position. It is able to cope with a high amount of jitter as it runs completely on the FPGA, i.e. no delays due to communication between CPU and FPGA occur.Fast mode: this algorithm uses a simple calculation of autocorrelation on the CPU which is then used to specify at which point of the sweep the lock should start. This algorithm is less complex than the first one and may be used if you experience problems with jitter-tolerant mode. As it requires some communication between CPU and FPGA which causes some delay, it may have problems if the line jitters a lot.By default,auto-detect modeis chosen: this mode choses an algorithm based on the amount of jitter.Using the manual lockIf you have problems with the autolock, you may also lock manually. Activate theManualtab and use the controls in the top (ZoomandPosition) to center the line you want to lock to. Choose whether the target slope is rising or falling and click the green button.Transfer functionTransfer function of the PID is given byL(f) = kp + ki / f + kd * fwithkp=P/4096,ki=I/0.1sandkd=D / (2**6 * 125e6).
Note that this equation does not account for filtering before the PID (cf.Modulation, Sweep & Spectroscopytab).Scripting interfaceIn addition to the GUI, Linien can also be controlled using python. For that purpose, installation via pip is required (see above).Then, you should start the Linien server on your RedPitaya. This can be done by running the GUI client and connecting to the device (see above). Alternatively,LinienClienthas the optionautostart_server.Once the server is up and running, you can connect using python:fromlinien.client.connectionimportLinienClient,MHz,Vppc=LinienClient({'host':'rp-XXXXXX.local','username':'root','password':'change-it-to-something-else!'},# starts the server if it is not runningautostart_server=True)# read out the modulation frequencyprint(c.parameters.modulation_frequency.value/MHz)# have a look at https://github.com/linien-org/linien/blob/master/linien/server/parameters.py# for a documentation of all parameters that can be accessed and modified# set modulation amplitudec.parameters.modulation_amplitude.value=1*Vpp# in the line above, we set a parameter. This is not written directly to the# FPGA, though. In order to do this, we have to call write_registers():c.connection.root.write_registers()# additionally set ANALOG_OUT_1 to 1.2 volts DC (you can use this to control other devices of your experiment)c.parameters.analog_out_1.value=1.2*ANALOG_OUT_V# GPIO outputs can also be set# each bit corresponds to a pin# Example: enable all N pins and disable all P pinsc.parameters.gpio_n_out.value=0b11111111c.parameters.gpio_p_out.value=0b00000000# Example: enable the N pins 1-4 and disable N pins 5-8c.parameters.gpio_n_out.value=0b11110000# 4 on, 4 off# Example: enable every second P pinc.parameters.gpio_p_out.value=0b01010101# 4 on, 4 off# again, we have to call write_registers in order to write the data to the FPGAc.connection.root.write_registers()# it is also possible to set up a callback function that is called whenever a# parameter changes (remember to call `call_listeners()` periodically)defon_change(value):# this function is called whenever `my_param` changes on the server.# note that this only works if `call_listeners` is called from# time to time as this function is responsible for checking for# changed parameters.print('parameter arrived!',value)c.parameters.modulation_amplitude.on_change(on_change)fromtimeimportsleepforiinrange(10):c.parameters.call_listeners()ifi==2:c.parameters.modulation_amplitude.value=0.1*Vppsleep(.1)# plot control and error signalimportpicklefrommatplotlibimportpyplotaspltplot_data=pickle.loads(c.parameters.to_plot.value)# depending on the status (locked / unlocked), different signals are availableprint(plot_data.keys())# if unlocked, signal1 and signal2 contain the error signal of channel 1 and 2# if the laser is locked, they contain error signal and control signal.ifc.parameters.lock.value:plt.title('laser is locked!')plt.plot(plot_data['control_signal'],label='control signal')plt.plot(plot_data['error_signal'],label='error signal')else:plt.title('laser is sweeping!')plt.plot(plot_data['error_signal_1'],label='error signal channel 1')plt.plot(plot_data['error_signal_2'],label='error signal channel 2')plt.legend()plt.show()For a full list of parameters that can be controlled or accessed have a
look atparameters.py. Remember that changed parameters are not written to the FPGA unlessc.connection.root.write_registers()is called.Run the autolockThe script below shows an example of how to run the autolock using the scripting interface:importpickleimportnumpyasnpfromlinien.client.connectionimportLinienClientfromlinien.commonimportFAST_AUTOLOCKfrommatplotlibimportpyplotaspltfromtimeimportsleepc=LinienClient({"host":"HOST","username":"USER","password":"PASSWORD"},autostart_server=False,)c.parameters.autolock_mode_preference.value=FAST_AUTOLOCKdefwait_for_lock_status(should_be_locked):"""A helper function that waits until the laser is locked or unlocked."""counter=0whileTrue:to_plot=pickle.loads(c.parameters.to_plot.value)is_locked="error_signal"into_plotifis_locked==should_be_locked:breakcounter+=1ifcounter>10:raiseException("waited too long")sleep(1)# turn of the lock (if it is running)c.connection.root.start_sweep()# wait until the laser is unlocked (if required)wait_for_lock_status(False)# we record a reference spectrumto_plot=pickle.loads(c.parameters.to_plot.value)error_signal=to_plot["error_signal_1"]# we plot the reference spectrum and ask the user where the target line isplt.plot(error_signal)plt.plot(to_plot["monitor_signal"])plt.show()print("Please specify the position of the target line. ")x0=int(input("enter index of a point that is on the left side of the target line: "))x1=int(input("enter index of a point that is on the right side of the target line: "))# show the lock point againplt.axvline(x0,color="r")plt.axvline(x1,color="r")plt.plot(error_signal)plt.show()# turn on the lockc.connection.root.start_autolock(x0,x1,pickle.dumps(error_signal))# wait until the laser is actually lockedtry:wait_for_lock_status(True)print("locking the laser worked \o/")except:print("locking the laser failed :(")Updating LinienBefore installing a new version of Linien, open the previously installed client and click the "Shutdown server" button. Don't worry, your settings and parameters will be saved. Then you may install the latest client on your local PC as described in thegetting startedsection above. The next time you connect to RedPitaya, Linien will install the matching server version.DevelopmentInformation about ddevelopment can be found in thewiki.FAQsHow to update to a new version?There's no need to install anything on RedPitaya manually.
Run the new version of Linien on your computer and connect to RedPitaya. You will see a dialog that allows you to install the corresponding server component.Can I run Linien and the RedPitaya web application / scpi interface at the same time?No, this is not possible as Linien relies on a customized FPGA bitstream.What control bandwidth is achievable with Linien?The propagation delay is roughly 320 ns in normal mode and 125 ns in fast mode.Why do ethernet LEDs of RedPitaya stop blinking when Linien is running?Ethernet LED blinkingwas found to impact analog outputs of RedPitaya. As this may impact lock stability, Linien disables ethernet LED blinking when starting.If you want to re-enable the LEDs, just stop the Linien server or restart your RedPitaya.TroubleshootingConnection problemsIf the client fails to connect to a RedPitaya, first check whether you
can ping it by executingpingrp-f0xxxx.localin a command line. If this works, check whether you can connect via SSH.
On Windows, you have toinstall a SSH client,
on linux you can executesshrp-f0xxxx.localon the command line.Updating or installing failsmake sure that your RedPitaya is connected to the internetif the orange LED stops blinking and RedPitaya becomes unresponsive, your SD card is probably faultyCitationIf you are using Linien, please cite us as follows:@article{Wiegand2022,
archivePrefix = {arXiv},
arxivId = {2203.02947},
author = {Wiegand, Benjamin and Leykauf, Bastian and J{\"{o}}rdens, Robert and Krutzik, Markus},
eprint = {2203.02947},
title = {{Linien: A versatile, user-friendly, open-source FPGA-based tool for frequency stabilization and spectroscopy parameter optimization}},
url = {http://arxiv.org/abs/2203.02947},
year = {2022}
}LicenseLinien ‒ User-friendly locking of lasers using RedPitaya (STEMlab 125-14) that just works.Copyright © 2014-2015 Robert Jördens
Copyright © 2018-2022 Benjamin Wiegand
Copyright © 2021-2022 Bastian LeykaufLinien is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.Linien is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.You should have received a copy of the GNU General Public License along with Linien. If not, seehttps://www.gnu.org/licenses/.Development takes place at Humboldt University of Berlin.See AlsoRedPID: the basis of Linien