105 citations · 288 across the 13 of their papers we have counts for
13 papers
Characterizing six seismic solar analogs observed by Kepler, K2, and HERMES
R. A. García, S. Mathur, G. T. Hookway +31
Solar analogs, stars that closely match the fundamental properties of the Sun, provide key benchmarks for testing stellar structure and evolution across different ages and activity…
Non-transiting exoplanets as a means of understanding star-planet interactions in close-in systems
C. Gourvès, S. N. Breton, A. Dyrek +5
Previous studies showed evidence of a dearth of close-in exoplanets around fast rotators, which can be explained by the combined action of intense tidal and magnetic interactions b…
Solar p-modes excitation rate along the magnetic activity cycle
E. Panetier, S. N. Breton, R. A. García +2
Magnetic cycles of solar-like stars influence their internal physics. Thus, the frequency, amplitude, excitation rate, and damping of the acoustic oscillation modes (p-modes) vary…
Measuring stellar surface rotation and activity with the PLATO mission -- I. Strategy and application to simulated light curves
S. N. Breton, A. F Lanza, S. Messina +20
The Planetary Transits and Oscillations of stars mission (PLATO) will allow us to measure surface rotation and monitor photometric activity of tens of thousands of main sequence so…
Long-term evolution of the neutron rate at the Canfranc Underground Laboratory
S. E. A. Orrigo, J. L. Tain, N. Mont-Geli +14
We report results on the long-term variation of the neutron counting rate at the Canfranc Underground Laboratory, of importance for several low-background experiments installed the…
Deciphering stellar chorus: apollinaire, a Python 3 module for Bayesian peakbagging in helio- and asteroseismology
S. N. Breton, R. A. García, J. Ballot +2
Since the asteroseismic revolution, availability of efficient and reliable methods to extract stellar-oscillation mode parameters has been one of the keystone of modern stellar phy…
K2-99 revisited: a non-inflated warm Jupiter, and a temperate giant planet on a 522-d orbit around a subgiant
A. M. S. Smith, S. N. Breton, Sz. Csizmadia +29
We report new photometric and spectroscopic observations of the K2-99 planetary system. Asteroseismic analysis of the short-cadence light curve from K2's Campaign 17 allows us to r…
Study of Chemically Peculiar Stars-I : High-resolution Spectroscopy and K2 Photometry of Am Stars in the Region of M44
Santosh Joshi, Otto Trust, E. Semenko +30
We present a study based on the high-resolution spectroscopy and K2 space photometry of five chemically peculiar stars in the region of the open cluster M44. The analysis of the hi…
No swan song for Sun-as-a-star helioseismology: performances of the Solar-SONG prototype for individual mode characterisation
S. N. Breton, P. L. Pallé, R. A. García +5
The GOLF instrument on board SoHO has been in operation for almost 25 years but aging of the instrument has now strongly affected its performance, especially in the low-frequency p…
Detections of solar-like oscillations in dwarfs and subgiants with Kepler DR25 short-cadence data
S. Mathur, R. A. García, S. N. Breton +6
During the survey phase of the Kepler mission, several thousands of stars were observed in short cadence, allowing the detection of solar-like oscillations in more than 500 main-se…
A calibration of the Rossby number from asteroseismology
E. Corsaro, A. Bonanno, S. Mathur +4
Stellar activity and rotation are tightly related in a dynamo process. Our understanding of this mechanism is mainly limited by our capability of inferring the properties of stella…
Exploiting symmetry in network analysis
Rubén J. Sánchez-García
Virtually all network analyses involve structural measures between pairs of vertices, or of the vertices themselves, and the large amount of symmetry present in real-world complex…
Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure
Ding Liu, Shi-Ju Ran, Peter Wittek +4
The resemblance between the methods used in quantum-many body physics and in machine learning has drawn considerable attention. In particular, tensor networks (TNs) and deep learni…