2023/02/16 JAXA/IRAP Kickoff meeting

Contacts

IRAP

ISAS/JAXA

  • Go Murakami

  • Sae Azawa

ISEE/Nagoya University

MEA Datasets description

File naming

We will use the file naming pattern recommanded in ISAS Wiki:

mmo_mmpe-mea[12]_<dataset>_yyyymmdd_vM.n.cdf

We have 2 sensors (mppe-mea1, mppe-mea2) and will deliver separate CDF files for each one.

CDF version

We will use the recommandation found in ISAS Wiki:

  • M (major version)

    will be defined, for each dataset as follow:

    0: Preliminary or test-purpose dataset definition

    1..n: official releases, incremented each time the definition of a dataset is modified

    When a CDF variable is added/modified/deleted

  • n (minor version)

    will be incremented (starting from 0 for each major version of a dataset) for each reprocessing of a daily file

L1 datasets

Dataset Description

mmo_mppe-mea[12]_l1_vm-[low, hig]

Onboard moments

mmo_mppe-mea[12]_l1_3D-[low,med,hig]

MEA 3D data

mmo_mppe-mea[12]_l1_hsk

Housekeeping

mmo_mppe-mea[12]_l1_omni-[16e,32e,64e]

Omni-directional (1D) data

mmo_mppe-mea[12]_l1_pap-[2s,4s,16s]

Pitch-angle data

Note not all the datasets will be delivered during the cruise phase (instrument not spinned)

L2 datasets

Dataset Description

mmo_mppe-mea[12]_l2_vm-[low, hig]

Moments

mmo_mppe-mea[12]_l2_3D-[low,med,hig]-[unit]

MEA 3D data

mmo_mppe-mea[12]_l2_omni-[unit]-[16e,32e,64e]

Omni-directional (1D) data

mmo_mppe-mea[12]_l2_pap-[unit]-[2s,4s,16s]

Pitch-angle data

This is a preliminary list of our L2 datasets, subject to changes

Time-series datasets

All MEA datasets are organized as a time-serie with a main CDF time variable (epoch)

The epoch variable correspond to a CDF_TT2000 variable.

epoch : CDF_TT2000

- CATDESC : Center/start of acquisition interval (dataset level depending)
- FIELDNAM : epoch
- FILLVAL : 9999-12-31 23:59:59.999999
- LABLAXIS : epoch
- UNITS : ns
- VALIDMIN : 1990-01-01 00:00:00
- VALIDMAX : 2029-12-31 23:59:58.999000
- VAR_TYPE : support_data
- SCALETYP : linear
- MONOTON : INCREASE
- TIME_BASE : J2000
- TIME_SCALE : Terrestrial Time
- REFERENCE_POSITION : Rotating Earth Geoid
- ...

MEA L1 datasets

MEA L1 datasets are currently timetagged at the start of acquisition interval

Currently, the epoch is defined with the following attributes:

- DELTA_PLUS_VAR : duration (or delta_epoch)

And duration a CDF variable, record-varying, whose DEPEND_0 = epoch, whose value is given in data records (curently ~4s)

duration : CDF_REAL4

- CATDESC : Interval duration
- DEPEND_0 : epoch
- LABLAXIS : Duration
- UNITS : s
Note we can rename the duration variable as delta_epoch if required.

MEA L2 datasets

MEA2 L2 datasets will be timetagged at the center of acquisition interval

- DELTA_PLUS_VAR : delta_epoch
- DELTA_MINUS_VAR : delta_epoch

With delta_epoch a CDF variable defined as follow:

delta_epoch : FLOAT

- CATDESC : Half-interval duration
- DEPEND_0 : epoch
- LABLAXIS : Duration
- UNITS : s
Note we don’t think useful to use delta_epoch1 and delta_epoch2 as indicated in ISAS wiki, as the 2 variables will have by definition the same values.

Internal clock

We will also give the value of internal clock, defined as mdp_TI in ISAS Wiki.

TI0 : (18352,) x CDF_UINT4

- CATDESC : TI0
- DEPEND_0 : Epoch
- LABLAXIS : TI0
- VALIDMIN : 0.0
- VALIDMAX : 4294970000.0
- SCALETYP : linear

This variable is currently named TI0 in our L1 datasets, but we can renamed as mdp_TI if required by the project.

CDF variables description

Record varying variables

All record-varying variable will have the following attribute:

- DEPEND_0 = epoch

Multi-dimensional variables

All multi-dimensional variables may use DEPEND_i attributes to describe their corresponding axis.

3D_counts : (records x 8 x 16 x 16) x CDF_UINT2
- CATDESC : 3D counts
- DEPEND_0 : Epoch
- DEPEND_1 : channels
- DEPEND_2 : sectors
- DEPEND_3 : energy

polar/azimuthal bins

There are linearly spaced.

We give the N central position (in instrument reference frame) and delta_plus/delta_minus resolution.

channels : (8,) x CDF_REAL4
- CATDESC : Channels (anodes)
- FIELDNAM : Channels (anodes)
- LABLAXIS : channels
- VAR_TYPE : support_data
- SCALETYP : linear
- UNITS : degree
- DELTA_PLUS : 11.25
- DELTA_MINUS : 11.25
sectors : (16,) x CDF_REAL4
- CATDESC : Azimuthal bins
- FIELDNAM : Aziuthal bins
- LABLAXIS : sectors
- SCALETYP : linear
- UNITS : degree
- DELTA_PLUS : 11.25
- DELTA_MINUS : 11.25
Note These variable are non record-varying.

energy tables

We are using logarithmic energy tables, so we have to give the N central values, N delta_plus and N delta_minus values.

energy : (records x 16) x CDF_REAL4
- CATDESC : energy
- DEPEND_0 : Epoch
- LABLAXIS : energy
- VAR_TYPE : support_data
- SCALETYP : log
- DELTA_PLUS : energy_delta_plus
- DELTA_MINUS : energy_delta_minus

energy_delta_plus : (records x 16) x CDF_REAL4
- CATDESC : energy_delta_plus
- DEPEND_0 : Epoch
- LABLAXIS : energy_delta_plus
- VAR_TYPE : support_data
- SCALETYP : log

energy_delta_minus : (records x 16) x CDF_REAL4
- CATDESC : energy_delta_minus
- DEPEND_0 : Epoch
- LABLAXIS : energy_delta_minus
- VAR_TYPE : support_data
- SCALETYP : log
Note

In our energy dependent datasets, the energy table may change during the day.

So, we have no more choice than make the energy table record-varying, and give the values in each data record.

Examples

We can provide an example of MEA1 omni-directional dataset for 2022/12/25.

You can find a CDF file and corresponding metadata (.txt) for both L1 and L2 data.

Other points

spice kernels

Is JAXA planning to use spice kernels after the separation ?

  • mdp TI to UTC conversion

  • conversion from instrument reference frame ⇒ SC reference frame ⇒ MSO

PDS4 metadata requirements

It was decided that PI teams deliver l1p data to Jaxa that will convert to L2 CDFs and deliver to PDS

We would prefer to prepare MEA L2 CDF files at IRAP and deliver files with the most possible complete metadata.

We can agree to include specific PDS metadata or let JAXA include them before final delivery to PDS archive.