Saint Ambrose barring Theodosius from Milan Cathedral
Saint Ambrose barring Theodosius from Milan Cathedral is a painting of c. 1619–20 by Anthony van Dyck in the National Gallery, London.
Saint Ambrose barring Theodosius from Milan Cathedral | |
---|---|
![]() | |
Artist | Anthony van Dyck ![]() |
Year | c. 1619–20 |
Medium | Oil on canvas |
Dimensions | 149 cm (59 in) × 113 cm (44 in) |
Location | National Gallery |
Accession No. | NG50 ![]() |
Identifiers | RKDimages ID: 37078 Art UK artwork ID: the-emperor-theodosius-is-forbidden-by-saint-ambrose-to-enter-milan-cathedral-115572 |
It draws heavily on a 1618 treatment of the same subject by Peter Paul Rubens, on which van Dyck had worked as a studio assistant. In van Dyck's version, Theodosius is beardless, the architectural background is more defined and a spear and a halberd are added on the left-hand side.
The painting depicts the Roman emperor Theodosius I and his entourage being barred from Milan Cathedral by its archbishop Saint Ambrose, as punishment for the Massacre of Thessalonica.
Sources
- National Gallery, St Ambrose barring Theodosius from Milan Cathedral
Bibliography
- Gian Pietro Bellori, Vite de' pittori, scultori e architecti moderni, Torino, Einaudi, 1976.
- Didier Bodart, Van Dyck, Prato, Giunti, 1997.
- Christopher Brown, Van Dyck 1599–1641, Milano, RCS Libri, 1999.ISBN 8817860603
- Justus Müller Hofstede, Van Dyck, Milano, Rizzoli/Skira, 2004.
- Stefano Zuffi, Il Barocco, Verona, Mondadori, 2004.
gollark: Supercomputers are mostly good through parallelism. It's generally the case that ARM devices you can actually get are worse in single core performance than x86 ones you can actually get.
gollark: All questions or statements with "metaverse" in them can immediately be discarded safely.
gollark: I'm pretty sure that's linear regression.
gollark: You mean "linear regression".
gollark: Of course, the machine learning™ thing to do would just be to try all reasonable fractions empirically and see which work best.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.