Skip to main content

Project used to apply selection to ntuples used for RX measurements filtered and skimmed by post_ap project

Project description

$R_X$ selection

This project is meant to apply an offline selection to ntuples produced by post_ap and downloaded with rx_data. the selection is done with jobs sent to an HTCondor cluster.

Usage

For local tests one can use apply_selection as in:

apply_selection -d /home/acampove/Data/rx_samples/v1/post_ap -s data_24_magdown_24c2 -r q2 bdt -q central -t Hlt2RD_B0ToKpPimMuMu -p RK -i 0 -n 900

where:

usage: apply_selection [-h] -i IPART -n NPART -d IPATH -s SAMPLE -p PROJECT -q Q2BIN -t HLT2 [-c CUTVER] [-r REMOVE [REMOVE ...]]

Script used to apply selection and produce samples for Run 3

options:
  -h, --help            show this help message and exit
  -i IPART, --ipart IPART
                        Part to process
  -n NPART, --npart NPART
                        Total number of parts
  -d IPATH, --ipath IPATH
                        Path to directory with subdirectories with samples
  -s SAMPLE, --sample SAMPLE
                        Name of sample to process, e.g. data_24_magdown_24c2
  -p PROJECT, --project PROJECT
                        Name of project, e.g RK, RKstr
  -q Q2BIN, --q2bin Q2BIN
                        q2 bin, e.g. central
  -t HLT2, --hlt2 HLT2  Name of HLT2 trigger, e.g. Hlt2RD_B0ToKpPimMuMu
  -c CUTVER, --cutver CUTVER
                        Version of selection, by default, latest
  -r REMOVE [REMOVE ...], --remove REMOVE [REMOVE ...]
                        List of cuts to remove from the full selection

In the cluster, one will need a dedicated directory for the log files, this is specified by exporting the variable $JOBDIR, i.e.:

export JOBDIR=/path/to/place/here/log/files/are

Different institutes will have different mechanisms to submit jobs (i.e. HTCondor, Slurm, Torque...). Thus, different submission scripts are needed and each institute will have to write the corresponding script.

To support more sites, one should:

  • Write a job_sel_xxx script.
  • Add it to pyproject.toml
  • Document its usage.
  • Open a merge request.

For IHEP, in China, this script is job_sel_ihep and it's documented below.

For IHEP

Run:

job_sel_ihep -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_JpsiK_mm_eq_DPC -q central -t Hlt2RD_BuToKpMuMu_MVA -p RK -n 1000 -r q2-bdt

which will apply the selection by:

  • Picking up the data found in /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap
  • Applying the selection on the sample Bu_JpsiK_mm_eq_DPC
  • For the HLT2 trigger Hlt2RD_BuToKpMuMu_MVA
  • For the project RK
  • Using 1000 jobs
  • Skipping the q2 and bdt cuts.

The options are:

Script used to setup mamba environment and run apply_selection script

-d: Path to directory containing directory samples
-s: Name of the sample (subdirectory) to run over
-r: String with dash separated cuts to remove, e.g. q2-bdt, optional
-q: q2 bin, e.g. central
-t: HLT2 trigger, e.g Hlt2RD_B0ToKpPimEE
-p: Project, e.g. RK
-n: Number of parts into which selection is split, e.g. 100
-T: Will run a test with the first job (default) or will submit all the jobs
-Q: Queue, e.g. test (5m), short (30m), mid (10h), by default short

by default, it will run a test job.

Job list

Given the large number of samples to process a utility was created to provide the list of commands, i.e. a list like:

job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kee_eq_btosllball05_DPC   -q central -t Hlt2RD_BuToKpEE_MVA   -p RK -n 10 -r q2-bdt
job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kee_eq_btosllball05_DPC   -q central -t SpruceRD_BuToHpEE     -p RK -n 10 -r q2-bdt
job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kee_eq_btosllball_DPC     -q central -t Hlt2RD_BuToKpEE_MVA   -p RK -n 10 -r q2-bdt
job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kee_eq_btosllball_DPC     -q central -t SpruceRD_BuToHpEE     -p RK -n 10 -r q2-bdt
job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kmumu_eq_btosllball05_DPC -q central -t Hlt2RD_BuToKpMuMu_MVA -p RK -n 10 -r q2-bdt
job_sel_ihep -T 0 -d /publicfs/ucas/user/campoverde/Data/RX_run3/v1/post_ap -s Bu_Kmumu_eq_btosllball05_DPC -q central -t SpruceRD_BuToHpMuMu   -p RK -n 20 -r q2-bdt

Run the following:

make_jobs_list -v v1

which for the version v1 of the post_ap ntuples, will automatically:

  • Find which samples exist and for which triggers
  • Assign a number of jobs for each of these samples, based on the number of entries

Some samples, with too few entries, will be skipped altogether. This is expected to take time, given that, in order to calculate the number of events, each file needs to be opened.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rx_selection-0.1.8.tar.gz (36.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rx_selection-0.1.8-py3-none-any.whl (41.5 kB view details)

Uploaded Python 3

File details

Details for the file rx_selection-0.1.8.tar.gz.

File metadata

  • Download URL: rx_selection-0.1.8.tar.gz
  • Upload date:
  • Size: 36.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for rx_selection-0.1.8.tar.gz
Algorithm Hash digest
SHA256 3ef1cbfcabaa84d5dffcf876762c82ebe88ea2bcaf1a1dd229f91b41d21b1ca4
MD5 41307ec1e23ff947c223ca380a9fc8b5
BLAKE2b-256 110f56ae2cd4af530285d3815fef885e5e1d2c9d38b04759f602f6324f6e3048

See more details on using hashes here.

Provenance

The following attestation bundles were made for rx_selection-0.1.8.tar.gz:

Publisher: publish.yaml on acampove/rx_selection

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file rx_selection-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: rx_selection-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 41.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for rx_selection-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 d99b0b9ff567b7ac1dc624015c41209cbf5c67851fae8af9c3fa1c8896c6762a
MD5 54c626e3168b254df9f57969264b5683
BLAKE2b-256 5c726d49ff93bbb3f2fe30b0988dc621808b7a2c62170163efb2afdb32920ee6

See more details on using hashes here.

Provenance

The following attestation bundles were made for rx_selection-0.1.8-py3-none-any.whl:

Publisher: publish.yaml on acampove/rx_selection

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page