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In this wiki you may find information on the following topics: Instructions on installing the various applications that are used for data analysis (Python tools, DataViewer, etc.) Useful documents and presentations on the various missions Various tips, best p...
DraMS Thumbnail
Download Updated on 2021-10-25: momadataviewZ.app.zip Chromatogram Instructions Load a MOMA GCMS run Under "Data Viewers" menu, select "Chromatogram Viewer" From Chromatogram viewer, click "Thumbnail" checkbox (calculation takes time, so there will be a perio...
MOMA GSE Computer Info
This page is the central location for any information regarding the GSE computers. Initial setup Before any work begins, the GSE computer should be configured to ensure all required functionality is available at all times. This section is necessary under the f...
Gnuplot
Gnuplot is "a portable command-line driven graphing utility for Linux, OS/2, MS Windows, OSX, VMS, and many other platforms". It is required for proper functioning of many of our Python tools such as the popular tmplot.py and should be installed prior to insta...
ISAMS
ISAMS (Igor Software for Atmospheric Mass Spectrometry) is a SAGE-like IGOR environment for analyzing QMS data from atmospheric samples. Latest Latest version of ISAMS (7/18/2014): ISAMS1.0.pxp New features presentation: ISAMS new features.pptx Documentation ...
Introduction to the 699 Python Library
Introduction NOTE: For MOMA, the core tmread functionality described in this article is deprecated, because it is replaced by c699util. Please use the routines described here instead. This guide aims to provide a high-level description of the 699 Python librar...
LaTeX
LaTeX is a high-quality typesetting system. It is used by our Python tools to generate various forms of output such as postscript and pdf files. Most of our Python tools do not use LaTeX so you might want to hold off on installation until absolutely necessary,...
Lxml
The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. It is used by any of our Python tools that either digest or output xml or html data. It is recommended that you install lxml prior to using any of our Python tools or else unex...
MOMA MAIF Voltages
L 802 -m 50 -s -l 1.4800 -h 1.5000 \# MAIF:CDH_1P5V https://goo.gl/r6Fd9Q L 803 -m 50 -s -l 2.0900 -h 2.1000 \# MAIF:2P7V https://goo.gl/1XKlk2 L 812 -m 50 -s -l 1.4700 -h 1.5100 \# MAIF:MAIF_1P5VMON https://goo.gl/GDR2QN L 813 -m 50 -s -l 3.2500 -h 3.3300 ...
MAVEN Get
The MAVEN Get application downloads files from the MAVEN raw database. Download maven_get.jar Usage java -jar maven_get.jar [options] -help print help message and exit -version print version info and exit -host <host> the host name for the XIN...
MAVEN IDL
Overview The system of scripts for running the MAVEN IDL Toolkit to generate MATLAB-compatible HDF5 and csv files resides on ITF2 under the ~/tplot_auto directory, which contains the following subdirectories: prod - Production folder, where generated HDF5 and...
MOMA Alerts
A MOMA Alert is defined as a notification of certain parameters of interest in a single MOMA Test. This page details the logic we use to extract the data for each alert. Note that this is the master reference, which means the engineers and scientists should en...
MOMA C++ Mining Scripts
Introduction The MOMA C++ mining scripts are command-line tools built on top of MOMA Data View code. The primary purpose of these scripts is to extract data into a XINA Online-friendly format. They currently live in mine699.gsfc.nasa.gov in the /home/mpallone/...
MOMA Consumables
A MOMA consumable is defined as any piece of hardware in the MOMA instrument that has a limited lifetime. What exactly "lifetime" means is dependent on the specific piece of hardware we are interested in and a single consumable may have more than one way to de...
MOMA Data View
MOMA Data View is an application built with the Qt framework that is used to interpret, display, and analyze MOMA data. It can be used for both real time and post processing purposes. At this time we only support Macs. __TOC__ Installation Prerequisites A NAS...
MOMA Mailing List
The MOMA Mailing list is used for any general announcements pertaining to MOMA data and the data analysis software. If you interested in either of those, it is highly recommended you sign up for the mailing list so you can keep up to date. Sign up at https://l...
MOMA Mass Calibration
This page details how mass calibration is accomplished for MOMA's mass spectrometer. The mass calibration config file is currently being used by MOMA Data View, our python tools, and XINA Online. Mass Cal Config File Format All Versions Conventions Any line t...
MOMA Meta Markers
This page defines the specification that software should adhere to in order to support MOMA Meta Markers. Meta Markers were created to improve our post-processing capabilities by allowing us to add markers after the telemetry has already been generated. This f...
MOMA Python Packages
This page lists useful Python (and some shell) scripts that facilitate data extraction and analysis, and links to install packages containing these scripts. A more detailed description of library capabilities can be found here. To determine which version of 69...
MOMA Python Time Synchronization
This applies to r1920. The code responsible for packet timestamp resolution is the BufferedMomaPacketList class inside of momapacketlist.py. Terminology: FSW timestamp: the 4 byte integer at the end of every packet header. This integer represents the number...