Visualization

Pecan Pie Logo for "PRISEd Conversation 2020" with photo of Dr. Goodman

Blog Feature: Dr. Alyssa Goodman talks with the The Harvard College Program in Science and Engineering (PRISE)

September 23, 2020

Dr. Alyssa Goodman talks with Felicia Ho, PRISE, Harvard College '23 about Jacques Cousteau, data visualization, climate change, prediction science, and the wide arc of influences that have shaped her multifaceted career as the Robert Wheeler Wilson Professor of Applied Astronomy at Harvard. 

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Catherine Zucker, Joshua S. Speagle, Edward F. Schlafly, Gregory M. Green, Douglas P. Finkbeiner, Alyssa Goodman, and João Alves. 1/2020. “A Compendium of Distances to Molecular Clouds in the Star Formation Handbook.” Astronomy and Astrophysics, 633, Pp. A51.Abstract
Accurate distances to local molecular clouds are critical for understanding the star and planet formation process, yet distance measurements are often obtained inhomogeneously on a cloud-by-cloud basis. We have recently developed a method that combines stellar photometric data with Gaia DR2 parallax measurements in a Bayesian framework to infer the distances of nearby dust clouds to a typical accuracy of ∼5%. After refining the technique to target lower latitudes and incorporating deep optical data from DECam in the southern Galactic plane, we have derived a catalog of distances to molecular clouds in Reipurth (2008, Star Formation Handbook, Vols. I and II) which contains a large fraction of the molecular material in the solar neighborhood. Comparison with distances derived from maser parallax measurements towards the same clouds shows our method produces consistent distances with ≲10% scatter for clouds across our entire distance spectrum (150 pc-2.5 kpc). We hope this catalog of homogeneous distances will serve as a baseline for future work. Table A.1 is also available at the CDS via anonymous ftp to http://cdsarc.u-strasbg.fr (ftp://130.79.128.5) or via http://cdsarc.u-strasbg.fr/viz- bin/cat/J/A+A/633/A51. It is also available on the Harvard Dataverse at http://https://doi.org/1 0.7910/DVN/07L7YZ An interactive 3D version of Fig. 2 is available at http://https://www.aanda.org
Photo of Astronomer João Alves

Radcliffe Fellow Dr. João Alves On Discovering the "Radcliffe Wave"

June 30, 2020

Astronomer João Alves came to the Radcliffe Institute for Advanced Study to create a 3D map of the sky, but what he discovered overturned the common conception of how stars are born and compelled scientists to rethink the framework of the galaxy.

A professor of stellar astrophysics at the University of Vienna, Alves focuses on understanding how natural processes change large interplanetary clouds of gas into stars and planets, and ultimately form life. He chose to pursue his research at Radcliffe because of its creative, multidisciplinary approach to collaboration. ...

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New Perspectives on Star Formation, the Milky Way, and Isaac Newton, at University of Connecticut, Storrs, CT, Friday, January 17, 2020:

slide screenshotThese are Alyssa Goodman's presentation slides from the 6th annual New England Star Formation Meeting, held at the University Connecticut on January 18, 2020.

These are Alyssa Goodman's presentation slides from the 6th annual New England Star Formation Meeting, held at...

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The Racliffe Wave

Largest Gaseous Structure Ever Seen In Our Galaxy Is Discovered

January 7, 2020

Astronomers at Harvard University have discovered a monolithic, wave-shaped gaseous structure — the largest ever seen in our galaxy — made up of interconnected stellar nurseries. Dubbed the “Radcliffe Wave” in honor of the collaboration’s home base, the Radcliffe Institute for Advanced Study, the discovery transforms a 150-year-old vision of nearby stellar nurseries as an expanding ring into one featuring an undulating, star-forming filament that reaches trillions of...

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Introduction to Visualization for Teachers, at Harvard & Smithsonian Center for Astrophysics, Tuesday, July 9, 2019:

These are Alyssa Goodman's presentation slides for the Smithsonian Science Education Academy for Teachers (SSEAT) 2019 workshop, held at the Harvard & Smithsonian Center for Astrophysics in Cambridge, MA on July 9, 2019.

Dataverse link to all materials, including Keynote slides

Reference with doi for this work:  Goodman, Alyssa, 2020, "Introduction to Visualization for Teachers", ...

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