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HCV Cycles One cycle of the hCV include an HCV open and an HCV close. An HCV open is defined by completing at least 50 positive raw hall counts by monitoring the mnemominc HCV1_HALL_POSITION_COUNTS. An HCV close is counted when the HCV changes by at leat 100 n...

DraMS has two filaments, filament A and filament B. On Time Filament A and Filament B on time are determined by measuring the amount of time that HFB_FIL_ON_A or HFB_FIL_ON_B are 1. Cycles Filament A and Filament B cycles are determined by counting the number ...

On Time EM A and EM B on times are determined by summing the on times for all scans, and then looking for any time when the EMs were constantly on outside of scanning. CTL sequences are examined to determine the on time for individual scans. In order to avoid ...

Laser Shots Laser shots are determined by summing the number of pulses in the LEU.MAX_HKHS packets and LEU.HKHS packets. Each of these packets is generated for each laser shot. Whether we receive the MAX_HKHS packet or the HKHS packet depends on the LEU settin...

GPS Valve Cycles GPS valves are the microvalves and GC valves in the manifolds. The high- conductance valve (HCV) and the multi-function valve (MFV) are documented in another entry. Valve cycles are determined by examining the message log and counting the numb...

MFV Cycles Counts the number of times the Multifuntion Valve (MFV) has been opened. A cycle consists of an open and close. The valve transitions from open to closed when the MFV temperature transistion above 100C (TBC). It is considered closed when it transiti...

Raw Packet Viewer

Real-time To view data in real time: Select Setup → FEDS Client from the menu. Enter the Instrument ID and FEDS Network Address (IP address or hostname). Click Start. Verify the connection: A confirmation message indicating a successful connection. Th...

Table of Contents 1. Overview 2. Install and Run 2.1 Mac OS 2.2 Linux 2.3 Windows 2.4 Supplementary Directory 3. Main Window 3.1 Main Window Fields 3.2 Top Menu Bar 4. Loading Data 4.1 Open a TID Directory 4.2 Move Between TIDs 4....

In order for the DraMS XINA instance to function as expected, developers need to deploy various updates to XINA to keep it in sync. DraMS XINA has the following Git repo dependencies: dramsgse apps/linux/struct_extract - Extracts and converts the telemetry...

This page defines the format of the limit definitions used by the Data Viewer application. A Limit Definition is a JSON object that describes limit thresholds for a single mnemonic telemetry value. The operator/user will be notified when a limit is triggered. ...

The Expected Values Definition file is a CSV file that is used by the c_expectedvaluechk Python tool.

https://drams.xina.io/tool/dashboard The '''Dashboard''' display was created to display mnemonics in high density format: Dashboards were designed around looking at data live -- as it is generated. When data is flowing live, these values will update about eve...

https://drams.xina.io has several “tools”. Tools can be select from the Tools menu in the main XINA window. However, URLs can be used to jump directly to particular tools. More on that later. The image below shows the tools menu which can be reached from any X...

Your dashboard view can be remembered in XINA and you can save a URL to the dashboard as a bookmark in your browser so that you can very quickly get back to seeing the data. In the upper right corner of the Dashboard you will see the “Save” and “Load” buttons...