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Daniela Calzetti

Daniela Calzetti is an Italian-American astronomer known for her research on cosmic dust, star formation, and galaxy formation and evolution, and in particular for the Calzetti dust extinction law, an estimate for how much information about distant galaxies has been obscured by cosmic dust.[1][2] She is a professor of astronomy and head of the astronomy department at the University of Massachusetts Amherst, and principal investigator of the Legacy ExtraGalactic Ultraviolet Survey project of the Hubble Space Telescope.[2]

Education and career

Calzetti is originally from Parma.[3] She earned a laurea in physics from Sapienza University of Rome in 1987, where she completed her Ph.D. in 1992, with the dissertation Large-Scale Distribution of Galaxies and Clusters: The Scale of Inhomogeneity supervised by Remo Ruffini.[4]

She worked as a researcher for the Space Telescope Science Institute from 1990 to 2007, when she moved to the University of Massachusetts Amherst.[4]

Recognition

Calzetti was elected to the National Academy of Sciences in 2020.[2][3]

References

  1. ^ Fischera, Jörg; Dopita, Michael A.; Sutherland, Ralph S. (November 2003), "Starburst galaxies: Why the Calzetti dust extinction law?", The Astrophysical Journal, 599 (1): L21–L24, arXiv:astro-ph/0309471, Bibcode:2003ApJ...599L..21F, doi:10.1086/381190
  2. ^ a b c UMass Amherst Astronomer Daniela Calzetti Elected to the National Academy of Sciences: World-renowned expert in how galaxies are formed receives high national honor, University of Massachusetts Amherst, May 1, 2020, retrieved 2020-10-08
  3. ^ a b "Daniela Calzetti", Member directory, National Academy of Sciences, retrieved 2020-10-08
  4. ^ a b Curriculum vitae (PDF), June 2020, retrieved 2020-10-08

External links

daniela, calzetti, calzetti, redirects, here, 17th, century, dutch, painter, matthias, withoos, italian, american, astronomer, known, research, cosmic, dust, star, formation, galaxy, formation, evolution, particular, calzetti, dust, extinction, estimate, much,. Calzetti redirects here For the 17th century Dutch painter see Matthias Withoos Daniela Calzetti is an Italian American astronomer known for her research on cosmic dust star formation and galaxy formation and evolution and in particular for the Calzetti dust extinction law an estimate for how much information about distant galaxies has been obscured by cosmic dust 1 2 She is a professor of astronomy and head of the astronomy department at the University of Massachusetts Amherst and principal investigator of the Legacy ExtraGalactic Ultraviolet Survey project of the Hubble Space Telescope 2 Contents 1 Education and career 2 Recognition 3 References 4 External linksEducation and career EditCalzetti is originally from Parma 3 She earned a laurea in physics from Sapienza University of Rome in 1987 where she completed her Ph D in 1992 with the dissertation Large Scale Distribution of Galaxies and Clusters The Scale of Inhomogeneity supervised by Remo Ruffini 4 She worked as a researcher for the Space Telescope Science Institute from 1990 to 2007 when she moved to the University of Massachusetts Amherst 4 Recognition EditCalzetti was elected to the National Academy of Sciences in 2020 2 3 References Edit Fischera Jorg Dopita Michael A Sutherland Ralph S November 2003 Starburst galaxies Why the Calzetti dust extinction law The Astrophysical Journal 599 1 L21 L24 arXiv astro ph 0309471 Bibcode 2003ApJ 599L 21F doi 10 1086 381190 a b c UMass Amherst Astronomer Daniela Calzetti Elected to the National Academy of Sciences World renowned expert in how galaxies are formed receives high national honor University of Massachusetts Amherst May 1 2020 retrieved 2020 10 08 a b Daniela Calzetti Member directory National Academy of Sciences retrieved 2020 10 08 a b Curriculum vitae PDF June 2020 retrieved 2020 10 08External links EditHome page Daniela Calzetti publications indexed by Google Scholar Retrieved from https en wikipedia org w index php title Daniela Calzetti amp oldid 1093811505, wikipedia, wiki, book, books, library,

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