Pipeline reduction tools for B4R/LMT data.
Installation
$ pip install b4rpipe
Usage
$ python
$ >>> import b4rpipe as Bp
$ >>> Bp.globBaseDir = '/home/hoge/b4r'
$ >>> Bp.globLogDir = '/home/hoge/b4r/logv1'
$ >>> Bp.PipelineAnalysis(86420)
This example shows a pipeline analysis for the data obsid 86420.
$ python
$ >>> import b4rpipe as Bp
$ >>> Bp.globBaseDir = '/home/hoge/b4r'
$ >>> Bp.globLogDir = '/home/hoge/b4r/logv1'
$ >>> Bp.PipelineAnalysisBatchRun()
You need to specify following pathes.
- The path where "xffts" and "lmttpm" directorys are located.
- XFFTS binary data (e.g., xffts20181003111006.xfftsx.01) should be stored under the "xffts" directory.
- LMT antenna log data (e.g., lmttpm_2018-04-22_075858_01_0000.nc) should be stored under the "lmttpm" directory.
- The path where outputs are created.
- Anywhere you like is OK.
Products
The script create following outputs (if possible).
- Continuum Map Qlook (Pointing offset, efficiency (only for uranus), etc.)
- Line (SiO) Map Qlook (Pointing offset, etc.)
- Spectrum Qlook (with auto-flag)
- Time series spectrum of PSW data (numpy readable format)
- GoDec calibration results (see Taniguch et al. 2021)
- MS2 (CASA readable format)
Data query and download (only for internal use now)
If you are in the NAOJ or IoA (U. Tokyo) local network, you can access the B4R ftp server.
$ python
$ >>> import b4rpipe as Bp
$ >>> Bp.PipelineAnalysis(86420,DataDownload=True,username='hogehoge',password='*****')
Then "rawdata" and "calibrated" directory appears at the current directory.
$ ls
raw calibrated
$ ls rawdata
lmttpm xffts
$ls calibrated
86420
Correspondence
- B4R 2018/2019 (obsnum<=087433) data <-> CASA MS2
| Name | B4R | CASA MS2 |
|---|---|---|
| polarization | A | (correlation or stokes) YY |
| polarization | B | (correlation or stokes) XX |
| sideband | LSB | spw 0 |
| sideband | USB | spw 1 |
Information
- B4R webpage: http://lmtgtm.org/b4r/?lang=en
- Contact: Yuki Yoshimura (email: astro.yoshimura(at)gmail.com)
