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GBT Observer Alert
GBT at 3/4 azimuth Slew Rate
Three more azimuth wheels have been replaced during this summer maintenance period. Wheel inspection shows no advanced signs of fatigue in the remaining wheels. The restriction to 1/2 azimuth slew rate has been lifted and the GBT is now moving at 3/4 azimuth slew rate.
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GBT Observer Alert
Use Ariel for GBT Observations
The Green Bank Observatory is in the process of upgrading to Red Hat 8 (RH8). We are in the next phase of the process and observations now need to be done with the current RH8 machine Ariel!
Computing Machines
You can process your data using your GBO computing account. Please use one of the machines listed below. You can find technical specifications for all machines here.
fourier
planck
newton
euclid
thales
arcturus
Processing Tools
Provided below you find a number of custom in-house developed tools and third-party software packages. These tools will help you analyzing your GBT data.
Processing Spectral line and continuum data
Processing Pulsar Data
PRESTO
PulsaR Exploration and Search TOolkit
PRESTO is a large suite of pulsar search and analysis software developed primarily by Scott Ransom
PSRCHIVE
PSRCHIVE is an open source C++ library for the analysis of pulsar data. It provides an extensive range of algorithms for use in pulsar timing, scintillation studies, polarimetric calibration, single-pulse work, RFI mitigation, etc. PSRCHIVE is particularly useful for VPM data in the PSRFITS format.
DSPSR
DSPSR is an open source C++ library for digital signal processing of pulsar timeseries. It provides an extensive range of algorithms for use in coherent dedispersion, filterbank formation, pulse folding, etc. DSPSR is particularly useful for processing baseband voltage data.
Other tools
GBT Data Reduction Computers and Public Workstations
For data processing, use the server machines with more than 100GB of RAM. Only BeeGFS client machines have access to the raw VEGAS data. Please make use of your /home/scratch area for storing data products instead of your home area under /users. For more information on disk space, see here.
Data Reduction Servers
Server Name | OS | RAM (GB) | CPU Cores | CPU Frequency | Access | Additional Information |
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euclid | Red Hat EL7 | 128 | 16 | 2.1 GHz | Remote only | BeeGFS client; nvidia GPU |
thales | Red Hat EL8 | 128 | 16 | 2.1 GHz | Remote only | BeeGFS client, nvidia GPU |
fourier | Red Hat EL8 | 192 | 8 | 2.4 GHz | Remote only | BeeGFS client |
planck | Red Hat EL8 | 192 | 8 | 2.4 GHz | Remote only | BeeGFS client |
arcturus | Red Hat EL8 | 128 | 32 | 2.1 GHz | Remote only | BeeGFS client; for GBT pipline runs |
cardano | Red Hat EL8 | 24 | 8 | 2.4 GHz | Remote only | no BeeGFS |
newton | Red Hat EL8 | 192 | 8 | 2.4 GHz | Remote only | BeeGFS client |
On-Site Public Workstations
Workstation Name | OS | RAM (GB) | CPU Cores | CPU Frequency | Location | Additional Information |
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cordesh | Red Hat EL8 | 8 | 4 | 3.4 GHz | JL Observer Periphery | dual monitor; DVD writer, CDRW |
ajax | Red Hat EL8 | 16 | 4 | 3.4 GHz | JL Observer Office | nvidia GPU; DVD writer, CDRW |
bratac | Red Hat EL8 | 8 | 4 | 3.4 GHz | JA-203 | dual monitor; DVD writer, CDRW |
Disk Space
There are two main areas where you may store your data:
- Your user area: /users/username
This is your home directory, where you start when you log in. This area is quota’ed and you may keep a maximum of 20 GB here. This area is backed up on a daily basis so any files kept here are safe from accidental deletion. - Your scratch area: /home/scratch/username
This is an area where you can store larger datasets and files while you’re actively working on them. It is not intended for long-term data storage! This area is quota’ed, and you may keep a maximum of 2 TB here. If the disc fills up too much you may be asked to move or delete data, or the sysadmins may delete it for you if the data is obviously not being currently worked on. This area is not backed up.
What you can do to help
- Keep your data organized. Easier for you and easier for the sysadmins when restoring your files.
- Don’t keep multiple copies of the same file in different places. Use softlinks instead.
- Don’t keep unwanted data online, please copy it elsewhere or delete it when you have finished with it.
- Log out when you leave for the night.