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We present TESSELLATE, a dedicated pipeline for performing an untargeted search documenting all variable phenomena captured by the TESS space telescope. Building on the TESSreduce difference imaging pipeline, TESSELLATE extracts calibrated…

Over the last two decades, asteroseismology has increasingly proven to be the observational tool of choice for the study of stellar physics, aided by the high quality of data available from space-based missions such as CoRoT, Kepler, K2 and…

TESS (Transiting Exoplanet Survey Satellite) was launched in 2018 with the purpose of observing bright stars in the solar neighbourhood to search for transiting exoplanets. After the completion of the two year nominal mission, TESS has…

Solar and Stellar Astrophysics · Physics 2022-10-26 Sangeetha Nandakumar , Mauro Barbieri , Jeremy Tregloan-Reed

The Transiting Exoplanet Survey Satellite (TESS) mission measured light from stars in ~75% of the sky throughout its two year primary mission, resulting in millions of TESS 30-minute cadence light curves to analyze in the search for…

To reduce and analyze astronomical images, astronomers can rely on a wide range of libraries providing low-level implementations of legacy algorithms. However, combining these routines into robust and functional pipelines requires a major…

Instrumentation and Methods for Astrophysics · Physics 2021-11-17 Lionel J. Garcia , Mathilde Timmermans , Francisco J. Pozuelos , Elsa Ducrot , Michaël Gillon , Laetitia Delrez , Robert D. Wells , Emmanuël Jehin

We present a simple and interpretable representation of TESS light curves designed for large-scale exploratory analysis. Our goal is not to optimize classification performance, but to construct a computationally efficient mapping in which…

Instrumentation and Methods for Astrophysics · Physics 2026-05-08 Dovi Poznanski

The Transiting Exoplanet Survey Satellite (TESS) will observe $\sim$150~million stars brighter than $T_{\rm mag} \approx 16$, with photometric precision from 60~ppm to 3~percent, enabling an array of exoplanet and stellar astrophysics…

Instrumentation and Methods for Astrophysics · Physics 2018-09-05 Ryan J. Oelkers , Keivan G. Stassun

The Python package teareduce has been developed to support teaching activities related to the reduction of astronomical data. Specifically, it serves as instructional material for students participating in practical classes on the…

Instrumentation and Methods for Astrophysics · Physics 2026-01-30 Nicolás Cardiel , Sergio Pascual , María Chillarón-Víctor , Cristina Cabello , Jesús Gallego , Jaime Zamorano , María Teresa Ceballos

The Transiting Exoplanet Survey Satellite (TESS) has an exceptionally large plate scale of 21"/px, causing most TESS light curves to record the blended light of multiple stars. This creates a danger of misattributing variability observed by…

Instrumentation and Methods for Astrophysics · Physics 2023-04-19 Michael E. Higgins , Keaton J. Bell

The Transiting Exoplanet Survey Satellite (TESS) mission measured light from stars in ~85% of the sky throughout its two-year primary mission, resulting in millions of TESS 30-minute cadence light curves to analyze in the search for…

The online data reduction service reductus transforms measurements in experimental science from laboratory coordinates into physically meaningful quantities with accurate estimation of uncertainties based on instrumental settings and…

Data Analysis, Statistics and Probability · Physics 2018-11-15 Brian Maranville , William Ratcliff , Paul Kienzle

The TESS follow-up of a large number of known transiting exoplanets provide unique opportunity to study their physical properties more precisely. Being a space-based telescope, the TESS observations are devoid of any noise component…

Earth and Planetary Astrophysics · Physics 2025-11-25 Suman Saha

Continuous data releases throughout the TESS primary mission will provide unique opportunities for the exoplanet community at large to contribute to maximizing TESS's scientific return via the discovery and validation of transiting planets.…

Earth and Planetary Astrophysics · Physics 2019-07-31 Ryan Cloutier

Precise physical properties of the known transiting exoplanets are essential for their precise atmospheric characterization using modern and upcoming instruments. Leveraging the large volume of high SNR photometric follow-up data from TESS,…

Earth and Planetary Astrophysics · Physics 2025-11-25 Suman Saha

The TESS mission produces a large amount of time series data, only a small fraction of which contain detectable exoplanetary transit signals. Deep learning techniques such as neural networks have proved effective at differentiating…

The Transiting Exoplanet Survey Satellite (TESS) is continuing its second extended mission after 55 sectors of observations. TESS publishes full-frame images (FFI) at a cadence of 1800, 600, or 200 seconds, allowing light curves to be…

Instrumentation and Methods for Astrophysics · Physics 2025-11-12 Te Han , Timothy D. Brandt

Data from the Transiting Exoplanet Survey Satellite (TESS) has produced of order one million light curves at cadences of 120 s and especially 1800 s for every ~27-day observing sector during its two-year nominal mission. These data…

During its two year prime mission the Transiting Exoplanet Survey Satellite (TESS) will perform a time-series photometric survey covering over 80% of the sky. This survey comprises observations of 26 24 x 96 degree sectors that are each…

Superconducting transition-edge sensors (TESs) carried by X-ray telescopes are powerful tools for the study of neutron stars and black holes. Several methods, such as optimal filtering or principal component analysis, have already been…

Instrumentation and Methods for Astrophysics · Physics 2021-04-12 Paul Ripoche , Jeremy Heyl

Inference on time series data is a common requirement in many scientific disciplines and internet of things (IoT) applications, yet there are few resources available to domain scientists to easily, robustly, and repeatably build such…

Mathematical Software · Computer Science 2016-09-16 Brett Naul , Stéfan van der Walt , Arien Crellin-Quick , Joshua S. Bloom , Fernando Pérez
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