1946
Comment:
|
4431
|
Deletions are marked like this. | Additions are marked like this. |
Line 12: | Line 12: |
Progress so far (June 21): * Ask LIGO CAL team for the detailed information of gstlal-calibration * '''(ongoing) gstlal-calibration maintainers in LIGO are helping to resolve some installation and testing issues.''' * Find names and versions of all prerequisite libraries, * '''(done, entry from June 7)''' SH made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]] * Install required packages and the gstlal-cal package on a machine at AS * '''DT has written scripts for installing lalsuite and gstlal software on a clean CentOS7 distro based on SH's instructions.''' Scripts were uploaded to KAGRA-AS group's Gitlab repositories: [[https://gitlab.com/kagra-as/docker-lalsuite-cold|containerized "cold" version of lalsuite]] [[https://gitlab.com/kagra-as/docker-gstlal-cold|containerized "cold" version of gstlal-calibration]] * '''CI pipelines that build docker-lalsuite-cold and docker-gstlal-cold containers were set up to run on AS IoP machine.''' * Test gstlal-cal pipeline on an AS machine * '''As a prerequisite to this task, DT reproduced a portion of LIGO h(t) from raw data with gstlal-calibration-v1.1.8 (w/ a "docker-gstlal-cold" image).''' This test was done on a private server (2-cores on Intel Xeon 2.4GHz, 8GB RAM). * '''Downloaded a few hours of bKAGRA Phase-1 data on AS machine.''' * '''(doing) Will try to reproduce C00 with gstlal-calibration.''' Details in [[https://gitlab.com/kagra-as/low-latency-cal/test-gstlal-on-cal-iop|gstlal-calibration testing on AS machine (cal-iop)]] * '''(to do) Verify the output of gstlal-calibration.''' * Install prerequisites and gstlal-cal package on a machine at KAGRA * '''(done, entry from June 7)''' SH made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]]. * Test the pipeline on a KAGRA machine [[KAGRA/Subgroups/CAL/WG/offline/tests|gstlal tests]] * '''to do''' * Documentation * '''(doing) Started documenting the work in KAGRA-AS group's Gitlab repositories:''' [[https://gitlab.com/kagra-as/docker-lalsuite-cold|containerized "cold" version of lalsuite]] [[https://gitlab.com/kagra-as/docker-gstlal-cold|containerized "cold" version of gstlal-calibration]] [[https://gitlab.com/kagra-as/low-latency-cal/test-gstlal-on-cal-iop|gstlal-calibration testing on AS machine (cal-iop)]] |
|
Line 16: | Line 50: |
* '''SK made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]]''' | * '''SH made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]]''' |
Line 18: | Line 52: |
* '''As a prerequisite to this task, SK worked on installation process for CentOS, DT for Debian.''' | * '''As a prerequisite to this task, SH worked on installation process for CentOS, DT for Debian.''' |
Line 25: | Line 59: |
* '''SK made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]]''' | * '''SH made progress on this, see [[KAGRA/Subgroups/CAL/WG/offline/gstlal|gstlal installation]]''' |
Low-latency and offline
Current tasks (May 26 - July 15):
Ask to LIGO CAL team for the detailed information of gstlal-calibration (DT) [status: ongoing | expected finish: N/A]
Make gstlal-calibration running on a machine at KAGRA (DT, SH) [status: ongoing | expected finish: Jul 15]
- Find names and versions of all prerequisite libraries
- Install prerequisites and gstlal-cal package on a machine at AS
- Test gstlal-cal pipeline on an AS machine
- Install prerequisites and gstlal-cal package on a machine at KAGRA
- Test the pipeline on a KAGRA machine
Progress so far (June 21):
- Ask LIGO CAL team for the detailed information of gstlal-calibration
(ongoing) gstlal-calibration maintainers in LIGO are helping to resolve some installation and testing issues.
- Find names and versions of all prerequisite libraries,
(done, entry from June 7) SH made progress on this, see gstlal installation
- Install required packages and the gstlal-cal package on a machine at AS
DT has written scripts for installing lalsuite and gstlal software on a clean CentOS7 distro based on SH's instructions. Scripts were uploaded to KAGRA-AS group's Gitlab repositories:
CI pipelines that build docker-lalsuite-cold and docker-gstlal-cold containers were set up to run on AS IoP machine.
- Test gstlal-cal pipeline on an AS machine
As a prerequisite to this task, DT reproduced a portion of LIGO h(t) from raw data with gstlal-calibration-v1.1.8 (w/ a "docker-gstlal-cold" image). This test was done on a private server (2-cores on Intel Xeon 2.4GHz, 8GB RAM).
Downloaded a few hours of bKAGRA Phase-1 data on AS machine.
(doing) Will try to reproduce C00 with gstlal-calibration. Details in
(to do) Verify the output of gstlal-calibration.
- Install prerequisites and gstlal-cal package on a machine at KAGRA
(done, entry from June 7) SH made progress on this, see gstlal installation.
Test the pipeline on a KAGRA machine gstlal tests
to do
- Documentation
(doing) Started documenting the work in KAGRA-AS group's Gitlab repositories:
Progress so far (June 7):
- Ask LIGO CAL team for the detailed information of gstlal-calibration
Communication with people working on LIGO gstlal has been initiated.
- Find names and versions of all prerequisite libraries,
SH made progress on this, see gstlal installation
- Install prerequisites and gstlal-cal package on a machine at AS
As a prerequisite to this task, SH worked on installation process for CentOS, DT for Debian.
The goal is to have a better understanding of what is happening under the hood when the gstlal-calibration package is compiled.
- Test gstlal-cal pipeline on an AS machine
As a prerequisite to this task, DT is currently trying to reproduce LIGO h(t) from raw data.
A sub-goal of this task is to come up with a gstlal code testing procedure.
DT addressed some questions to LIGO gstlal people.
- Install prerequisites and gstlal-cal package on a machine at KAGRA
SH made progress on this, see gstlal installation
Test the pipeline on a KAGRA machine gstlal tests
to do
New tasks:
- Put more effort on documentation.