PDF (double-sided) - Physics Department, UCSB - University of ...
PDF (double-sided) - Physics Department, UCSB - University of ... PDF (double-sided) - Physics Department, UCSB - University of ...
7.5.3 DC Rack Server The DC Rack Server implements the binary protocol used by the different bias cards to provide access to all features offered by the cards. It allows other Modules in the LabRAD system to select active cards and change their settings, e.g. initialize the reference DAC on a PreAmp-Card, control the behavior of the front-panel LEDs, set the monitor channels, etc. One instance of this Server manages all DC bias racks that are accessible from the LabRAD system via Serial Servers that provide the actual hardware link. 7.5.4 Serial Server The Serial Server provides direct access to all COM-ports of the computer that it is running on. It can list the available ports, open a port by name, select connection options like the baud-rate, byte-size, and parity, and control the state of the RTS and DTR lines. One copy of this Server is run on every computer that needs to share access to its ports. To give each of these Server Modules a unique name, “Serial Server” is prefixed with the name of the computer that it is running on. 156
7.5.5 Grapher At the far left of the connection diagram (Figure 7.1), the Grapher Client Module gives the user a way to view datasets as they are taken or to browse existing datasets. It offers 1D and 2D plotting capability as well as zooming and basic curve fitting (exponentials and parabolas). The Grapher also provides access to meta-data that is stored with a dataset as well as a mechanism for annotating and discussing datasets that resembles an instant messaging chat session. Multiple copies of the Grapher can be run by different users to allow for live discussion of incoming data among collaborators located anywhere in the world. The Grapher accesses the data and meta-information of different dataset via calls to the “Data Vault” Server Module. Being able to provide powerful data plotting and analysis tools as a separate module rather than as a part of each data taking script significantly simplifies the development of these scripts and thus improves experimental turn-around times. Separating the plotting from the data acquisition and processing also allows for higher data rates as the usually CPU intensive plotting does not take resources away from the data taking. In fact, even over very slow network connections, the same data rates can be achieved in remote data taking sessions as from inside the lab. This is made possible by being able to run the bandwidth intense parts of the 157
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- Page 138 and 139: Figure 6.1: 4-Wire Measurement - a)
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- Page 144 and 145: Figure 6.2: Dilution Refrigerator W
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- Page 148 and 149: 6.3.9 Anritsu Microwave Source The
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- Page 168 and 169: Table 7.3: LabRAD Type Annotations
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- Page 202 and 203: 8.1 Squid I/V Response As explained
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- Page 222 and 223: Figure 8.10: T 1 - a) Bias sequence
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7.5.5 Grapher<br />
At the far left <strong>of</strong> the connection diagram (Figure 7.1), the Grapher Client<br />
Module gives the user a way to view datasets as they are taken or to browse<br />
existing datasets. It <strong>of</strong>fers 1D and 2D plotting capability as well as zooming and<br />
basic curve fitting (exponentials and parabolas). The Grapher also provides access<br />
to meta-data that is stored with a dataset as well as a mechanism for annotating<br />
and discussing datasets that resembles an instant messaging chat session. Multiple<br />
copies <strong>of</strong> the Grapher can be run by different users to allow for live discussion <strong>of</strong><br />
incoming data among collaborators located anywhere in the world. The Grapher<br />
accesses the data and meta-information <strong>of</strong> different dataset via calls to the “Data<br />
Vault” Server Module.<br />
Being able to provide powerful data plotting and analysis tools as a separate<br />
module rather than as a part <strong>of</strong> each data taking script significantly simplifies the<br />
development <strong>of</strong> these scripts and thus improves experimental turn-around times.<br />
Separating the plotting from the data acquisition and processing also allows for<br />
higher data rates as the usually CPU intensive plotting does not take resources<br />
away from the data taking. In fact, even over very slow network connections, the<br />
same data rates can be achieved in remote data taking sessions as from inside the<br />
lab. This is made possible by being able to run the bandwidth intense parts <strong>of</strong> the<br />
157
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