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Kostas Valeckas

Publications and source records attributed to Kostas Valeckas.

2 recordsLinked to original sources

Spectroscopic characterization of a remarkable temporally varying, triple-lensed quasar at z=2.67

Gravitationally lensed quasars are viable cosmic tools for constraining a diversity of fundamental astrophysical phenomena; They enable identification of faint, low-mass supermassive black holes, provide unique constraints on the intervening intergalactic or interstellar medium in their sightlines, and can be used to determine key cosmological quantities such as the Hubble constant, $H_0$. However, they are rare phenomena, and it has proven difficult to define efficient, unbiased selection methods.} In this study, we report the independent spectroscopic identification of a remarkable triple-lensed quasar at $z=2.67$, identified based on astrometric measurements from the {\em Gaia} mission, previously identified in Pan-STARRS. Furthermore, a larger spectroscopic follow-up survey of {\em Gaia}-detected candidate lensed quasars. We characterize in detail the three mirror images of the quasar and their spatial and temporal spectroscopic coverage, with focus on the emission-line properties which shows variation across sigthlines and temporal evolution over the $\sim 11$months spectroscopic campaign. We construct a lens model of the foreground source from a combination of the multiple spectra and deep optical imaging, providing a robust halo mass of $M_{\rm h} = (2.78 \pm 0.05)\times 10^{10}M_\odot$. Based on the lens model, the time delay between each sightline is translated into an intrinsic quasar time, allowing us to construct a quasar timeseries over $\sim18$months with monthly cadence. Over months timescales the broad emission lines vary in both velocity offset and equivalent width (EW) as well as an overall increase in ionization. This exemplary triple-lensed quasars demonstrates the viability of identifying such rare lens configurations based purely on the astrometric measurements from the {\em Gaia} mission, which we here provide optimized selection criteria for, for future studies.

astro-ph.GA

PyLongslit: a simple manual Python pipeline for processing of astronomical long-slit spectra recorded with CCD detectors

We present a new Python pipeline for processing data from astronomical long-slit spectroscopy observations recorded with CCD detectors. The pipeline is designed to aim for simplicity, manual execution, transparency and robustness. The goal for the pipeline is to provide a manual and simple counterpart to the well-established semi-automated and automated pipelines. The intended use-cases are teaching and cases where automated pipelines fail. From raw data, the pipeline can produce the following output: * A calibrated 2D spectrum in counts and wavelength for every detector pixel. * A 1D spectrum extracted from the 2D spectrum in counts per wavelength (for point-like objects). * A flux-calibrated 1D spectrum (for point-like objects). The products are obtained by performing standard procedures for detector calibrations (Howell, 2006; Richard Berry, 2005), cosmic-ray subtraction (McCully et al., 2018; van Dokkum, 2001), and 1D spectrum extraction (Bradley et al., 2024; Horne, 1986). Software repository: https://github.com/KostasValeckas/PyLongslit

astro-ph.IM