Recent News

TAP Student Training/Travel Grants: Apply Now for 2024 Awards

TAP Student Training/Travel Grants: Apply Now for 2024 Awards

    The Theoretical Astrophysics ProgramĀ invites one-page proposals for small matching grants in support of theoretical astrophysics research across the Departments of Astronomy, Physics, and Planetary Sciences.   Grant awards up to $1,000 may be used...

College of Science 2023 Teaching & Advising Awards

College of Science 2023 Teaching & Advising Awards

Every year, the College of Science recognizes outstanding faculty and advisors for their noteworthy participation in representing and contributing to the teaching and advising mission of the University of Arizona. There are six award categories to recognize these...

Kazumasa Ohno, Friday, January 13, 2023

Kazumasa Ohno, Friday, January 13, 2023

TAP Visitor Series In support of the Planet Formation Initiative, which undertakes the study of theories of the formation and evolution of the Solar System and exoplanet systems, please join us in welcoming - KAZUMASA OHNO Friday, January 13, 2023, at 1:00 PM TITLE:...

TAP Spring 2023 Colloquia Series

TAP Spring 2023 Colloquia Series

TAP Colloquia - Spring 2023 The TAP Colloquia Series resumed in January for the Spring 2023 semester, including in-person and Zoom options. All talks can be found on the TAP YouTube Channel. TAP "Meet Yourself" Event, January 30, 2023 Speaker Line-Up: Jonah Barber...

Congratulations to Haowen Zhang: 2023 TAP Research Prize Awardee

Congratulations to Haowen Zhang: 2023 TAP Research Prize Awardee

The TAP is pleased to announce that Haowen Zhang has been selected to receive the 2023 Graduate Student Research Prize. Haowen was selected as the awardee based on his demonstration of exceptional theoretical research in his recent paper published in the Monthly...

Announcing: TAP Student Travel Grant Recipients

Announcing: TAP Student Travel Grant Recipients

TAP student members are annually invited to submit applications for matching funds to support conference travel, academic research, or career training opportunities. All applicants must demonstrate a direct connection to theoretical modeling and/or computational...

UA News: Machine learning reveals how black holes grow

UA News: Machine learning reveals how black holes grow

Research led by Peter Behroozi (Steward Observatory) and graduate student Haowen Zhang is leveraging supercomputing power and machine learning to recontruct the growth histories of black holes starting at their event horizons. Along with an international team,...