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DATA Analysis [DATA-hero-sl]
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Data Analysis

During the course of its mission, LISA will produce vast amounts of data. Storing, collating and analyzing this data is a task which will require the development of new data analysis pipelines and the construction of new data processing centres (DPC).

The DPC Masterpiece
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LISA Data Challenges
LTPDA MATLAB© toolbox
Indestructible Pipelines
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What is data analysis?

Definition, appearance, historical background, origins, first measurements and a classification in our universe today …


Data Processing Centres

Definition, appearance, historical background, origins, first measurements and a classification in our universe today …


Experts’ toolbox

So what are the various sources and types of gravitational waves? Where are the differences and can LISA detect them all?


Ask the data analysts

The new page “Questions about LISA” provides answers to FAQ’s about the Gravitational Universe etc. Get the TOP3 in SCIENCE.

Slide INTRO [DATA-section-intro-sl01]

Data Analysis: An essential aspect of the LISA mission

LISA leads to new methods and tools in data analysis.

In preparing LISA data analysis experts met two central challenges:
On one hand they had to ensure that the LISA instrument will be able to deliver data relevant for scientific questions. On the other hand, they had to implement new techniques and concepts for extracting source parameters from the data streams.

Key components in this context

are the ability of creating high-fidelity waveforms for gravitational wave sources, having a well-understood signal simulator for the mission, and being able to extract the source parameters from the simulated signals.

In LISA Data Challenges (LDC) scientists have already demonstrated the feasibility of LISA data analysis.

LDCs are based on blind challenges of increasing complexity – from a few sources in the first challenge to the full combination of all likely sources in the data stream in the most recent fourth challenge. Scientific research groups from all over the world developed, tested and implemented a wide variety of techniques. As a result, a proof-of-concept for LISA data analysis is strongly tested and ready to go.

Mind-boggling Precision [TECH-section-info-sl01]

DPC Data Processing Centres

During the five years of the survey, LISA will collect and process terabytes of data using thousands of CPUs. The DPCs (Data Processing Centre) will provide the hardware and software infrastructure and means to store and process those data. In strong interaction with the Data Analysis Groups (DAGs), the DPC will implement, execute and control the data analysis pipelines and deliver the scientific products (such as catalogs of identified gravitational waves) to the consortium.

During the five years of the survey, LISA will collect and process terabytes of data using thousands of CPUs. The DPCs (Data Processing Centre) will provide the hardware and software infrastructure and means to store and process those data. In strong interaction with the Data Analysis Groups (DAGs), the DPC will implement, execute and control the data analysis pipelines and deliver the scientific products (such as catalogs of identified gravitational waves) to the consortium.

During the five years of the survey, LISA will collect and process terabytes of data using thousands of CPUs. The DPCs (Data Processing Centre) will provide the hardware and software infrastructure and means to store and process those data. In strong interaction with the Data Analysis Groups (DAGs), the DPC will implement, execute and control the data analysis pipelines and deliver the scientific products (such as catalogs of identified gravitational waves) to the consortium.

The main focus will be on developing tools to support:

The main focus will be on developing tools to support:

The main focus will be on developing tools to support:

+ software development, test and validation
+ pipeline integration and deployment on computing infrastructures
+ data management, tracing and archiving
+ simulation activities

+ software development, test and validation
+ pipeline integration and deployment on computing infrastructures
+ data management, tracing and archiving
+ simulation activities

+ software development, test and validation
+ pipeline integration and deployment on computing infrastructures
+ data management, tracing and archiving
+ simulation activities

You are familiar with the answers here … but not all of them? Go ahead for the rest.

You are familiar with the answers here … but not all of them?
Then go ahead and look at the rest of the list .

You are familiar with the answers here … but not all of them? Then go ahead and look at the rest of the list .