NOMAD

NOMAD#

nom_cal

The calibration has been incorporated into the NOMAD autoreduction workflow so any time a suitable diamond calibration run is available, the calibration routine will be kicked off automatically. In case of problems, one then log in Analysis cluster and use the current routine for running the calibration manually – normally, even the calibration running at the autoreduction stage encounters issues, still the input json file can be generated automatically so in most cases, one does not need to worry about manually populating the input json file here.

The calibration routine for NOMAD. It takes the following JSON file as the input (we don’t need to give the input explicitly, so on command line, just execute nom_cal),
```
/SNS/NOM/shared/CALIBRATION/cal_config.json
```
Here is presented the contents of the configuration file,
```
{
    "Diamond": "/SNS/NOM/IPTS-34905/nexus/NOM_213940.nxs.h5",
    "Instrument": "NOM",
    "Date": "2025-04-22",
    "SampleEnv": "furnace",
    "OutputDir": "/SNS/NOM/shared/autoreduce/calibration",
    "GenShadowMask": "shadow_mask_furnace_213940.in",
    "DiaLattParam": 3.5671299351,
    "GroupMethod": "KMEANS_ED",
    "SaveInitCalTable": true,
    "Quiet": false,
    "ArbCalFile": "arb_starting_cal.h5",
    "MaskFile": "outputmask.xml"
}
```
- Diamond
  
  Full path to the diamond run. Knowing the run number, the following command can be used on analysis cluster to get the full path of the corresponding data file,
```
finddata NOM 213940
```
- Instrument
  
  Short name of the instrument. Currently, it is only supporting NOMAD.
- Date
  
  Date of the data measurement.
- SampleEnv
  
  Sample environment name. The value should be consistent with the name being used in the characterization file for NOMAD, as given in the following file,
```
/SNS/users/y8z/NOM_Shared/autoreduce/auto_exp.csv
```
  See here for more information about the NOMAD characterization file.
- OutputDir
  
  Output directory for the generated calibration HDF5 file.
- GenShadowMask
  
  The shadow mask file name. This is a file to be generated by the calibration routine and its name can be arbitrary.
- DiaLattParam
  
  Lattice parameter of the standard diamond sample.
- GroupMethod
  
  In the calibration routine, there is a step for grouping detectors according to the similarity of their diffraction patterns. Originally, calibration was performed following such a grouping manner, but the recently implemented routine no longer uses this way and the grouping step is only for creating the mask for those bad pixels, by which we mean those diffraction patterns that do not yield a successful peak fitting.
- SaveInitCalTable
  
  Flag for whether to save the calibration table corresponding to the first stage of the calibration, i.e., peaks are lining up without further calibration.
- Quiet
  
  If set to true, the terminal output of the routine running will be suppressed.
- ArbCalFile
  
  This is an arbitrary calibration file as the starting point for the calibration routine. It is a file stored in the following directory,
```
/SNS/users/y8z/NOM_Shared/CALIBRATION/inputs
```
  Usually, we don’t need to change this.
- MaskFile
  
  Output mask file, to be stored in the following directory,
```
/SNS/users/y8z/NOM_Shared/CALIBRATION/inputs
```
  Usually, we don’t need to touch this.
nom_cal_local

This is a local version of the nom_cal (which is systemwise available), stored in the following directory,
```
/SNS/users/y8z/NOM_Shared/CALIBRATION
```
To run this routine, one has to cd into the directory and run ./nom_cal_local, or one can just give the full path to the routine. This routine does take an argument to specify the input json file which follows exactly the same form as presented for nom_cal above.
all_nom

The script here is running the reduction script located at /SNS/NOM/shared/autoreduce/reduce_NOM_man.py.

This will run the same autoreduction as on Monitor (monitor.sns.gov). It runs locally and multiple run numbers can be processed in a batch manner. The program runs as follows,
```
all_nom IPTS RunsToProcess
```
e.g., all_nom 29792 '193462, 193474-193484'
confirm-nom

Routine for confirming the data availability for NOMAD experiments. It can run with either of the ways below,
```
confirm-nom
confirm-nom <IPTS>
confirm-nom <IPTS> Submission_Number
```
With the first way, the program will ask for a few user inputs while running. With the second way, it will run directly, taking the <IPTS> number and assume the submission number of 1. With the third way, one can also specify the submission number of an <IPTS> – for some experiments, there may be some continuation runs and each run has a certain submission number, 1, 2, 3, ....
addie_nom

Run a local version of ADDIE for data reduction and post-processing. This local version is using the local conda environment under the name of Dr. Yuanpeng Zhang on Analysis cluster.