SEM - SEH Data Product Definitions

A R Jones
1999.03.17

Contents

Introduction

This document describes the  USC Space Science Center data handling for the SEM and SEH instruments. The definition of data sets and data series will be described, and the routines and ancillary data to follow the pipelines will given. The data product definitions are based on the MDI data product level definitions. The data streams from the different instruments will need different levels of processing to bring them to a given level. Data at each level will be archived onto CD-ROM.
 

Instruments

 SoHO

 SEH

 Sounding Rocket
 

 SEM
 

 He

 Ne

 SEM

 Diodes
 

 He

 Ne

 SEM

 OFS

 

Overview of Data Products


 

 SoHO

 SEH

 Sounding Rocket
Raw
  • is the raw telemetry stream as received on the ground
 
  • GSE Generated
  • GSE filename and time tage (CPU clock)
Merged
  • Sorted raw telemetry files
   
Level-0
  • Decompressed T/M
  • Count rates only
  • TAI time tag
 
  • PSL Post mission data file
  • GMT and TALO (MET) time tag
  • Sub comutated data in counts
Level-1
  •  Count rates only
  • UT time tag
  • @ 1AU
 
  • Level-0 with altitude (radar)
  • Ancil data in units
  • pointing data in units
Level-1.5
  • temperatures
  • voltages
  • S/C pointing
  • Rocket/Calibration data
  • Calibration Algorithm
 
  • Calibrations
Level-2
  •  Calibrated fluxes @ 1AU, UT time tag
 
  • Calibrated fluxes @ 1AU, UT time tag

Reading Medium Rate Data

I am writing a short program seh2fits that will read the raw data from the CD-ROM distribution or data file and save the data in FITS format. The program will allow several data manipulations for quick look graphics. The current state of the code is that it does not produce the fits format images yet, but rather just an ascii file with the first column the index number, and the second the count rate. There are various options to the program that should be given on the command line, e.g.:

seh2fits datafile skip sum smooth rescale

datafile: is the name of the datafile to be read

skip: is the number of spectra to be skipped

sum: is the number of spectra to be averaged

smooth: is the number of points within a spectrum to smooth over

rescale: rescales the spectrum to that maximum vale, a 0.0 will leave the data unrescaled

 

example:

seh2fits CID8.2 1000 10 3 100

will read the datafile ``CID8.2'' skip 1000 records, average 10 spectra, make a 3 pt running average, and rescale the resultant spectrum to a maximum of 100.

 


 
 

last updated: 2 September1999
comments and suggestions to:   arjones@usc.edu