BHTOM.space - tool for automatic processing of time-domain data

PO
Not scheduled
15m
Wichernhaus

Wichernhaus

Board: S237
poster presentation Science platforms in the big data era Poster

Speaker

Agnieszka Gurgul (Institute of Astronomy, Nicolaus Copernicus University in Toruń, Poland)

Description

BHTOM.space is a powerful platform designed to coordinate the photometric observations from a heterogeneous global network of small and medium telescopes, including both professional and amateur observatories. Built on a modular Django/Python backend with PostgreSQL and RESTful APIs, it supports automated ingestion and processing of photometric data (FITS, CSV), real-time cross-matching, and target prioritisation, as well as querying numerous time-domain photometric archives (e.g. Gaia, ZTF, ASASSN, CRTS, OGLE, LINEAR, SDSS). Through this system, we have collected and processed thousands of photometric data points, all fully calibrated and standardised for scientific use. BHTOM.space allows researchers to access high-quality, long-term datasets for studying transient objects and variable stars. We invite telescope owners and astronomers working with time-domain data to contribute and explore our ever-growing database and leverage our network for future observations.

Affiliation of the submitter Institute of Astronomy, Nicolaus Copernicus University in Toruń, Poland
Attendance in-person

Primary authors

Agnieszka Gurgul (Institute of Astronomy, Nicolaus Copernicus University in Toruń, Poland) Krzysztof Kotysz (Astronomical Institute, University of Wrocław, Poland; Astronomical Observatory, University of Warsaw, Poland) Paweł Zieliński (Institute of Astronomy, Nicolaus Copernicus University in Toruń, Poland) Przemysław Mikołajczyk (Astronomical Institute, University of Wrocław, Poland; National Centre of Nuclear Research, Warsaw, Poland) Łukasz Wyrzykowski (Astronomical Observatory, University of Warsaw, Poland; National Centre of Nuclear Research, Warsaw, Poland)

Presentation materials