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The psana system is the default offline system and your data will end up in psana unless you arrange a different destination with your experiment POC. The psana system is also relatively old and it will be retired when more storage becomes available in the SDF system.
You will need a valid SLAC UNIX account in order to use psana. The instructions for getting a SLAC UNIX account are here.
To get into the LCLS photon computing system you can connect to the pslogin pool from anywhere:
pslogin you can then reach the analysis nodes (see below).
You can also consider connecting to the LCLS system using NX technology: this approach allows to preserve the status of a connection across multiple sessions and it provides better performance for displaying remote graphics.
Each control room has a number of nodes for local login. These nodes have access to the Internet and are named
The controls and DAQ nodes used for operating an instrument work in kiosk mode so you don't need a personal account to run an experiment from the control room. Remote access to these nodes is not allowed for normal users.
The path to the experimental data in the psana system is:
To copy your data out of psana you can connect to the
All control rooms and the overflow room in FEH have one or more taps on the Visitor Data Network. These taps can be used to transfer data to a laptop or a storage device. These devices will be automatically assigned an IP address through DHCP as soon as they are connected to the network tap.
In order to get access to the interactive nodes, connect to
psana pool is currently made of 18 servers with the following specifications:
There are a number of batch queues (i.e. collections of compute nodes) in the psana systems. Instructions describing how to submit jobs can be found on the Submitting Batch Job page.
The main batch farm currently consist of 80 nodes with the following general specifications:
and 40 nodes with the following specifications:
When performing analysis on the psana interactive nodes, it is useful to display plots on your host machine. For host machines near SLAC, using ssh with X-windows forwarding (the -X or -Y options) suffices. X windows forwarding can get slow for host machines in Europe. Some users have found better performance with technology called nomachine, this is documented on the Remote Visualization page.