Andromeda Project: Difference between revisions

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|field_team_location=University of Washington
|field_team_location=University of Washington
|field_participant_task_description=Mark interesting features with circles and crosses.
|field_participant_task_description=Mark interesting features with circles and crosses.
|field_Haklay_typology=distributed intelligence
|field_volonteer_computing=no
|field_volonteer_computing=no
|field_volonteer_thinking=yes
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Revision as of 14:12, 29 November 2013

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Cs Portal > List of citizen science projects > Andromeda Project - (2013/11/14)

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IDENTIFICATION

Participant's homepage
  • Infrastructure:
  • Developed with:
Start date :
  • Beta start date : N/A
  • End date : Still open.
Subject

Description The Andromeda galaxy is the closest spiral galaxy to our own Milky Way. Using PHAT data from the Hubble Space Telescope we're hunting for star clusters in Andromeda and hidden galaxies that lie behind. Purpose Star clusters are collections of hundreds to millions of stars that were born at the same time from the same cloud of gas. This shared origin makes star clusters unique tools for understanding how stars form and evolve. Additionally, they are useful for studying the major chapters in the history of galaxies. But before Andromeda's star clusters can unlock these secrets, we need the help of Citizen Scientists to find the clusters. Not just the big bright ones, but the small faint ones as well. This is the goal of the Andromeda Project. ? Research question Star clusters vary greatly in terms of mass, size, age, and local environment. As a result, star clusters can appear quite different from one another depending on the properties of the clusters and where they are located in the galaxy. This makes the process of identifying clusters tricky and difficult to automate. From the first year of PHAT data, a team of eight astronomers searched through each image, manually identifying star clusters by eye. Using less than 1/5th the total PHAT survey area, we cataloged about 600 star clusters (Johnson+ 2012). With the Andromeda Project, we hope that you will help us find the thousands of star clusters hiding in the rest of the survey!

Because the appearances of star clusters vary so much, it is important for us to learn what kinds of clusters we can actually see. For this reason, we have inserted realistic synthetic clusters with known ages, masses, and sizes into some of the PHAT images. By identifying both real and synthetic clusters, we will learn what types of clusters are undetectable in Andromeda. This information is critical for understanding the age and mass distributions of the clusters by allowing us to determine whether certain populations of clusters do not exist or if they are simply avoiding detection.

After you help us to find these star clusters, we will use several techniques to determine the age and mass of these objects. In some clusters, we can resolve individual stars that allow us to determine the age, mass, and other aspects of the object. In other clusters, where individual stars are too faint or too close together, we can use the summed light from a cluster to determine its properties (Fouesneau+ 2012, in prep.). With these ages and masses in hand, we can use these clusters to study a host of interesting topics: rapid and rare stages of stellar evolution, the structure and scale of star formation, the evolution of cluster populations, and how Andromeda has changed over billions of years.

TEAM

MAIN TEAM LOCATION
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University of Washington

Project team page http://www.andromedaproject.org/#!/about/people/science-team Leader: Julianne Dalcanton Institution: University of Washington Partner institutions: Adler Planetarium, GLObal Robotic-telescopes Intelligent Array, Panchromatic Hubble Andromeda Treasury, Hubble, Zooniverse Contact: http://talk.andromedaproject.org/

USER TASKS

CONTRIBUTION TYPE: data analysis, data interpretation
PARTICIPATION TYPOLOGY: distributed intelligence


GAMING GENRE NONE
GAMING ELEMENTS: NONE

COMPUTING
THINKING
SENSING
GAMING

Tasks description Mark interesting features with circles and crosses. Interaction with objects

Interface

  • Data type to manipulate: pictures
  • interface enjoyment: cool/attractive
  • Interface usability: easy to use

GUIDANCE

GUIDANCE
  • Tutorial:
  • Peer to peer guidance: x
  • Training sequence: x
FEEDBACK ON
  • Individual performance: Somewhat
  • Collective performance: Somewhat
  • Research progress: Somewhat

Feedback and guidance description

COMMUNITY

COMMUNITY TOOLS
  • Communication: website, blog, forum
  • Social Network: Twitter
  • Member profiles:: N/A
  • Member profile elements:
NEWS & EVENTS
  • Main news site:
  • Frequency of project news updates: N/A
  • Type of events:
  • Frequency of events :

Community description

  • Community size (volounteers based)
  • Role:
  • Interaction form:
  • Has official community manager(s): N/A
  • Has team work N/A
  • Other:
  • Community led additions:


Other information

PROJECT

Url:https://www.zooniverse.org/project/andromedaproject
Start date:
End date: Still open


TEAM

Official team page:http://www.andromedaproject.org/#!/about/people/science-team
Leader: Julianne Dalcanton
Institution: University of Washington
Partner institutions: Adler Planetarium, GLObal Robotic-telescopes Intelligent Array, Panchromatic Hubble Andromeda Treasury, Hubble, Zooniverse
Contact: http://talk.andromedaproject.org/
Main location: University of Washington

PROJECT DEFINITION


Subject

Natural sciences > astronomy, astrophysics (space)

Description

The Andromeda galaxy is the closest spiral galaxy to our own Milky Way. Using PHAT data from the Hubble Space Telescope we're hunting for star clusters in Andromeda and hidden galaxies that lie behind.

Purpose.

Star clusters are collections of hundreds to millions of stars that were born at the same time from the same cloud of gas. This shared origin makes star clusters unique tools for understanding how stars form and evolve. Additionally, they are useful for studying the major chapters in the history of galaxies. But before Andromeda's star clusters can unlock these secrets, we need the help of Citizen Scientists to find the clusters. Not just the big bright ones, but the small faint ones as well. This is the goal of the Andromeda Project.

Research question.

Star clusters vary greatly in terms of mass, size, age, and local environment. As a result, star clusters can appear quite different from one another depending on the properties of the clusters and where they are located in the galaxy. This makes the process of identifying clusters tricky and difficult to automate. From the first year of PHAT data, a team of eight astronomers searched through each image, manually identifying star clusters by eye. Using less than 1/5th the total PHAT survey area, we cataloged about 600 star clusters (Johnson+ 2012). With the Andromeda Project, we hope that you will help us find the thousands of star clusters hiding in the rest of the survey! Because the appearances of star clusters vary so much, it is important for us to learn what kinds of clusters we can actually see. For this reason, we have inserted realistic synthetic clusters with known ages, masses, and sizes into some of the PHAT images. By identifying both real and synthetic clusters, we will learn what types of clusters are undetectable in Andromeda. This information is critical for understanding the age and mass distributions of the clusters by allowing us to determine whether certain populations of clusters do not exist or if they are simply avoiding detection. After you help us to find these star clusters, we will use several techniques to determine the age and mass of these objects. In some clusters, we can resolve individual stars that allow us to determine the age, mass, and other aspects of the object. In other clusters, where individual stars are too faint or too close together, we can use the summed light from a cluster to determine its properties (Fouesneau+ 2012, in prep.). With these ages and masses in hand, we can use these clusters to study a host of interesting topics: rapid and rare stages of stellar evolution, the structure and scale of star formation, the evolution of cluster populations, and how Andromeda has changed over billions of years.

ABOUT PARTICIPANT TASKS


Tasks description.

Mark interesting features with circles and crosses.

.

Grey typology Participation typology Contribution type:
Computing: NO Thinking: YES
Sensing: NO Gaming: NO
Crowdsourcing Distributed intelligence
Participatory science Extreme citizen science
Science outreach
Data collection
Data analysis
Data interpretation --------
Gaming
Genre: Gaming elements:
Interface
Data type to manipulate: pictures interface enjoyment: cool/attractive
Interface usability: easy to use
Member profiles::N/A
Member profile elements:


ABOUT GUIDANCE AND FEEDBACK


Guidance Feedback on
Tutorial and documentation: YES
Training sequence: NO
Peer to peer guidance: NO
individual performance: Somewhat
collective performance: Somewhat
research progress: Somewhat

.

COMMUNITY


Tools News & Events

Communication: website, blog, forum
Social Network: Twitter

Main news site:
Frequency of project news updates: N/A
Type of events:
Frequency of events :

Community description

Community size (volounteers based):
Role: Interaction form:
Has official community manager(s): N/A
Has team work N/A

Other information about community:
Community led additions:

OTHER PROJECT INFORMATION




Capture d’écran 2013-11-14 à 15.17.15.png Yes [[has completion level::Medium]

http://www.andromedaproject.org/#!/about/people/science-team

University of Washington http://talk.andromedaproject.org/

Yes astronomy, astrophysics Natural sciences space Star clusters are collections of hundreds to millions of stars that were born at the same time from the same cloud of gas. This shared origin makes star clusters unique tools for understanding how stars form and evolve. Additionally, they are useful for studying the major chapters in the history of galaxies. But before Andromeda's star clusters can unlock these secrets, we need the help of Citizen Scientists to find the clusters. Not just the big bright ones, but the small faint ones as well. This is the goal of the Andromeda Project. Star clusters vary greatly in terms of mass, size, age, and local environment. As a result, star clusters can appear quite different from one another depending on the properties of the clusters and where they are located in the galaxy. This makes the process of identifying clusters tricky and difficult to automate. From the first year of PHAT data, a team of eight astronomers searched through each image, manually identifying star clusters by eye. Using less than 1/5th the total PHAT survey area, we cataloged about 600 star clusters (Johnson+ 2012). With the Andromeda Project, we hope that you will help us find the thousands of star clusters hiding in the rest of the survey!

Because the appearances of star clusters vary so much, it is important for us to learn what kinds of clusters we can actually see. For this reason, we have inserted realistic synthetic clusters with known ages, masses, and sizes into some of the PHAT images. By identifying both real and synthetic clusters, we will learn what types of clusters are undetectable in Andromeda. This information is critical for understanding the age and mass distributions of the clusters by allowing us to determine whether certain populations of clusters do not exist or if they are simply avoiding detection.

After you help us to find these star clusters, we will use several techniques to determine the age and mass of these objects. In some clusters, we can resolve individual stars that allow us to determine the age, mass, and other aspects of the object. In other clusters, where individual stars are too faint or too close together, we can use the summed light from a cluster to determine its properties (Fouesneau+ 2012, in prep.). With these ages and masses in hand, we can use these clusters to study a host of interesting topics: rapid and rare stages of stellar evolution, the structure and scale of star formation, the evolution of cluster populations, and how Andromeda has changed over billions of years.

Andromeda Project Mark interesting features with circles and crosses. data analysis, data interpretation

distributed intelligence pictures, other: Thinking: yes Computing: no Sensing: no Gaming: no


cool/attractive easy to use yes no no N/A N/A N/A

N/A

N/A website, blog, forum Twitter



N/A


N/A


Medium



Bibliography

BIBLIOGRAPHY