gstlal-calibration installation

• For KAGRA CAL, (at least) three shared system are being prepared where gstlal can run and KAGRA data is accessible

  • Kamioka tunnel

  • Kamioka surface building

  • Kashiwa Tier-0 data center

• LAL and GstLAL are installed in all the system GDS is installed into the Kamioka tunnel system

Kamioka tunnel (low latency)

• Scientific Linux 7 (SL7)
• This will be the dedicated server for low-latency h(t) reconstruction
• The selection of the hardware model is on-going
• Prototype machine is being prepared
  • Installation of SL7 with "General purpose system"
  • Additional RPMs are identified

  • Installation of LAL suite with RPM at SL7-lscsoft

  • A few RPMs (healpy-1.10.3, python-seaborn-0.9.0, gst-python-1.4.0) were prepared by ourselves

  • Due to the recent update of root-related packages from 6.12 to 6.14 we need to rebuild GDS RPMs from SRPM

• Useful links and documentations

  • LIGO DMT project

  • LIGO DMT Data Distribution subsystem

  • LIGO Observatory Hardware configuration

Kamioka surface building

• Red Hat Enterprise 6
• Cluster's overall first priority is given for the DMG data transfer. Thus, some of hosts is not allowed to login/use for non-DMG usage and data traffic should not be overloaded.
• CAL subgroup can use one or two calculation host with first priority.
• This machine can be directly connected to KAGRA online system for the low-latency h(t) pipeline
• The output files can be transferred with the DMG standard pipeline
• Many libraries have been installed from the source at shared home to have similar environment at Kashiwa Tier-0 center
• Following the DMG policy, access to the shared account is limited with SSH public key only (no shared password)
• If you want to use this machine with the shared user account, please contact DMG chief (for VPN) and S.Haino (for SSH public key)

Kashiwa Tier-0 data center

• CentOS-7 (equivalent to SL7 at LIGO)
• LAL and GstLAL are installed as rpm (should be same as LIGO)
• The priority of CPU usage is given to DAS sub-system for the search pipeline development
• This machine can be used only for offline analysis
• For CAL, it is recommended to use this machine only to test the codes at the similar environment as DAS (and maybe LIGO)

• It is known that numpy.save doesn't work in numpy 1.14 with python 2.7.5 https://github.com/numpy/numpy/issues/10348 use numpy 1.13 instead

LAL version

• Same version is installed both in Kashiwa and Kamioka

lalapps_version

• LAL: 6.18.0 (CLEAN ea18...)
• LALFrame: 1.4.3 (CLEAN 5224...)
• LALMetaIO: 1.3.1 (CLEAN 7619...)
• LALXML: 1.2.4 (CLEAN 5fd4...)
• LALSimulation: 1.7.3 (CLEAN 9eb4...)
• LALBurst: 1.4.4 (CLEAN ceb2...)
• LALInspiral: 1.7.7 (CLEAN a00b...)
• LALPulsar: 1.16.0 (CLEAN b8da...)
• LALInference: 1.9.4 (CLEAN cbb2...)
• LALStochastic: 1.1.20 (CLEAN 983b...)
• LALApps: 6.21.0 (CLEAN ba16...)

GstLAL version

• gstlal-1.3.0
• gstlal-ugly-1.4.1
• gstlal-calibration-1.1.9
• gstlal-inspiral-1.4.2