University of Washington, Seattle, WA

andytza.github.io // atzanida@uw.edu

Introducing

 GaiaAlertsPy

Anastasios (Andy) Tzanidakis,

Prof. James Davenport, Celeste Hagee & DiRAC Institute

Science Interests

MAIN SEQUENCE DIPPER STARS
​

Tzanidakis et al. 2025 (in-prep)​

Tzanidakis et al. 2025 (in-prep)​

DISK-ECLIPSE SYSTEMS​

Currently soliciting community feedback, please reach out at atzanida@uw.edu

github.com/AndyTza/GaiaAlertsPy

GaiaAlertsPy

GaiaAlertsPy is a simple Python API that interacts and works with the Gaia Science Alerts!

https://gaiaalertspy.readthedocs.io

Documentation is now available at:

Also see:

Data-Driven Response Model of Gaia XP Spectra from Gaia Alerts

Using the SN Ia, we are looking to build a simple response model from spectroscopically classified SN Ia to rebuild a simple response model and get approximate flux calibrated XP spectra before Gaia DR4. 

Improving approximate wavelength-pixel calibration via GaiaXPy

Conclusions & Contact

University of Washington, Seattle, WA

andytza.github.io // atzanida@uw.edu

Anastasios (Andy) Tzanidakis,

Prof. James Davenport, Celeste Hagee & DiRAC Institute

Please get in touch if you're interested in collaborating with us :) 

andytza.github.io // atzanida@uw.edu

We are building an approximate global BP/RP response model using SN Ia discovered in the Gaia Alerts. Our aim is to provide approximate flux calibrations for the BP/RP Gaia alerts

We introduce GaiaAlertsPy a Python package to interact and download Gaia Alerts data. More features are required, and currently seeking community input on capabilities of package!