Relevant bibliographies by topics / Full-spectral fitting

Academic literature on the topic 'Full-spectral fitting'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Full-spectral fitting"

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Cid Fernandes, Roberto. "On tests of full spectral fitting algorithms." Monthly Notices of the Royal Astronomical Society 480, no. 4 (August 7, 2018): 4480–88. http://dx.doi.org/10.1093/mnras/sty2012.

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Wilkinson, David M., Claudia Maraston, Daniel Goddard, Daniel Thomas, and Taniya Parikh. "firefly (Fitting IteRativEly For Likelihood analYsis): a full spectral fitting code." Monthly Notices of the Royal Astronomical Society 472, no. 4 (September 6, 2017): 4297–326. http://dx.doi.org/10.1093/mnras/stx2215.

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Wilkinson, David M., Claudia Maraston, Daniel Thomas, Lodovico Coccato, Rita Tojeiro, Michele Cappellari, Francesco Belfiore, et al. "P-MaNGA: full spectral fitting and stellar population maps from prototype observations." Monthly Notices of the Royal Astronomical Society 449, no. 1 (March 17, 2015): 328–60. http://dx.doi.org/10.1093/mnras/stv301.

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Ruiz-Lara, Tomás, M. A. Beasley, C. Gallart, J. Falcón-Barroso, G. Battaglia, E. Bernard, C. Brook, et al. "Full-spectral fitting techniques to characterise the stellar content of ultra diffuse galaxies." Proceedings of the International Astronomical Union 14, S344 (August 2018): 408–12. http://dx.doi.org/10.1017/s174392131800577x.

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AbstractUnderstanding the peculiar properties of Ultra Diffuse Galaxies (UDGs) via spectroscopic analysis is a challenging task that is now becoming feasible. The advent of 10m-class telescopes and high sensitivity instruments is enabling the gathering of high quality spectra even for the faintest systems. In addition, advances in the modelling of stellar populations, stellar libraries, and full-spectral fitting codes are allowing the recovery of the stellar content shaping those spectra with unprecedented reliability. In this contribution we report on the extensive tests we have carried out using the inversion code STECKMAP. The similarities between the Star Formation Histories (SFH) recovered from STECKMAP (applied to high-quality spectra) and deep Colour-Magnitude diagrams fitting (resolved stars) in two Local Group dwarf galaxies (LMC and LeoA) are remarkable, demonstrating the impressive performance of STECKMAP. We exploit the capabilities of STECKMAP and perform one of the most complete and reliable characterisations of the stellar component of UDGs to date using deep spectroscopic data. We measure radial and rotation velocities, SFHs and mean population parameters, such as ages and metallicities, for a sample of five UDG candidates in the Coma cluster. From the radial velocities, we confirm the Coma membership of these galaxies. We find that their rotation properties, if detected at all, are compatible with dwarf-like galaxies. The SFHs of the UDG are dominated by old (∼ 7 Gyr), metal-poor ([M/H] ∼ -1.1) and alpha-enhanced ([Mg/Fe]∼ 0.4) populations followed by a smooth or episodic decline which halted ∼ 2 Gyr ago, possibly a sign of cluster-induced quenching. We find no obvious correlation between individual SFH shapes and any UDG morphological properties. The recovered stellar properties for UDGs are similar to those found for DDO 44, a local UDG analogue resolved into stars. We conclude that the UDGs in our sample are extended dwarfs whose properties are likely the outcome of both internal processes, such as bursty SFHs and/or high-spin haloes, as well as environmental effects within the Coma cluster.
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Li Kaipeng, 李凯朋, 王济洲 Wang Jizhou, 王多书 Wang Duoshu, 王云飞 Wang Yunfei, and 董茂进 Dong Maojin. "Optical parameters measurement of infrared filter based on envelope-full spectral fitting inversion method." Infrared and Laser Engineering 48, no. 9 (2019): 913004. http://dx.doi.org/10.3788/irla201948.0913004.

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Lasche, George, Robert Coldwell, and Robert Metzger. "VRF (“Visual RobFit”) — nuclear spectral analysis with non-linear full-spectrum nuclide shape fitting." EPJ Web of Conferences 153 (2017): 01002. http://dx.doi.org/10.1051/epjconf/201715301002.

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Cezario, E., P. R. T. Coelho, A. Alves-Brito, D. A. Forbes, and J. P. Brodie. "Full spectral fitting of Milky Way and M 31 globular clusters: ages and metallicities." Astronomy & Astrophysics 549 (December 19, 2012): A60. http://dx.doi.org/10.1051/0004-6361/201220336.

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Katkov, Ivan Yu, and Igor V. Chilingarian. "Multi-component parametric inversion of galaxy kinematics and stellar populations using full spectral fitting." Proceedings of the International Astronomical Union 7, S284 (September 2011): 69–71. http://dx.doi.org/10.1017/s1743921312008770.

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AbstractThe stellar line-of-sight velocity distribution (LOSVD) can be strongly asymmetric in regions where the light contributions of both disc and bulge in spiral and lenticular galaxies are comparable. Existing techniques for the stellar kinematics analysis do not take into account the difference of disc and bulge stellar populations. Here we present a novel approach to the analysis of stellar kinematics and stellar populations. We use a two-component model of spectra where different stellar population components are convolved with pure Gaussian LOSVDs. For this model we present Monte-Carlo simulations demonstrating degeneracies between the parameters.
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Koleva, Mina, and Alexander Vazdekis. "Stellar population models in the UV: I. Characterisation of the New Generation Stellar Library." Proceedings of the International Astronomical Union 7, S284 (September 2011): 35–37. http://dx.doi.org/10.1017/s1743921312008678.

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AbstractWe have fully characterized the NGSL stellar spectral library, which allows us to open the UV stellar spectral range for stellar population studies. We have performed the necessary steps to prepare this library for its implementation in models synthesizing SEDs of stellar cluster and galaxy spectra. We have determined and homogenized the atmospheric parameters of the stars of this library with the aid of a full spectrum-fitting algorithm, using the MILES spectral library as a template. We also have characterized the resolution of this library and corrected systematic effects in the optical spectral range to achieve a precision of 10% of the dispersion.
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Scott, Nicholas. "Spatially resolved stellar populations with SAMI." Proceedings of the International Astronomical Union 10, S309 (July 2014): 343–44. http://dx.doi.org/10.1017/s1743921314010369.

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AbstractUsing data from the SAMI Galaxy Survey we measure azimuthally averaged stellar age and metallicity profiles for ∼ 500 galaxies, using both luminosity-weighted Lick indices and mass-weighted full spectral fitting. We find a weak trend for steeper (i.e. more negative) metallicity gradients in more massive galaxies, however, below stellar masses ∼ 1010.5 M⊙, the scatter in metallicity gradient increases dramatically.
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Dissertations / Theses on the topic "Full-spectral fitting"

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Wilkinson, David Mark. "Full spectral fitting of stellar population models for studies of galaxy evolution." Thesis, University of Portsmouth, 2015. https://researchportal.port.ac.uk/portal/en/theses/full-spectral-fitting-of-stellar-population-models-for-studies-of-galaxy-evolution(75d04642-6904-436d-964f-95485604843f).html.

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In this work we present a new full spectral fitting code called FIREFLY. It is a c2-minimisation code that obtains thousands of spectral fits in order to build probability distribution functions of stellar population properties, and includes an innovative method to treat dust attenuation. We use the code to determine galaxy properties, including age, metallicity, stellar mass and dust extinction, of over 2 million galaxy spectra, both from point-source and from resolved galaxy surveys, using modern high-resolution stellar population models. We analyse the results to assess the redshift evolution of galaxy properties, and the importance of their internal processes. We test a set of stellar population models based on three stellar libraries to assess the systematic effects of changing model ingredients and provide a detailed assessment of degeneracies in the models, in all stages of the thesis. After introducing the central concepts in galaxy evolution and astrophysics, we describe the advancements of stellar population models and their use in the derivation of galaxy properties. We then give a detailed overview of the landscape of full spectral fitting and its application to observational data. We describe the motivation, features and function of FIREFLY, performing careful calibration on a set of mock galaxies and globular clusters. We also very carefully assess the degeneracies in model spectra and measure the uncertainties from applying a full spectral fitting approach to optical data. We apply FIREFLY to two observation point-source surveys with millions of galaxy members: the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7), and SDSS Data Release 9, the galaxy data of which is called the Baryon Oscillation Spectroscopic Survey (BOSS). We present the full star formation histories of all of the galaxies in the surveys and important subsamples within them. We use the derived galaxy properties as the calibrator for combining these surveys into one large survey across redshifts 0.0 < z < 0.8. This enables us to assess the redshift evolution of the most luminous and passive galaxies across both samples. Significantly, we use FIREFLY in the first scientific publication of SDSS-IV, for the MaNGA Integral Field Unit survey. We retrieve stellar population maps and radial profiles from high spatial resolution prototype observations of 18 galaxies, encompassing thousands of individual spectra. Our analysis gives detailed measurements of the precision to which one can recover stellar population gradients and resolved maps as a function of observational conditions and stellar population model ingredients, paving the way for future work both in MaNGA and other spatial galaxy surveys.
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Conference papers on the topic "Full-spectral fitting"

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Comparat, Johan. "Stellar population properties for 2 million galaxies from SDSS DR14 and DEEP2 DR4 from full spectral fitting." In Frontier Research in Astrophysics – III. Trieste, Italy: Sissa Medialab, 2019. http://dx.doi.org/10.22323/1.331.0036.

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Beck, Joseph A., Jeffrey M. Brown, Daniel L. Gillaugh, and Alex A. Kaszynski. "Modal Identification for Integrally Bladed Rotors Under Traveling Wave Excitation." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-83204.

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Abstract The safety of a fielded Integrally Bladed Rotor (IBR) is often assessed through vibration testing. Responses due to various types of excitation are measured and processed and can be inputs to follow-on analyses, such as mistuning identification. One such excitation technique is the Traveling Wave Excitation (TWE) where all blades are simultaneously excited at phase differences that attempt to replicate naturally occurring mode shapes and certain operating conditions. This test relies on non-contact exciters, e.g. magnets and speakers, that are often not directly measured. As a result, formulating the Frequency Response Function (FRF) is difficult and the extraction of system modal data using FRF fitting techniques in the absence of FRFs is not possible. This paper presents an approach to use measured responses from TWE tests. It is shown that the Fast Fourier Transform (FFT) of the TWE inputs are mostly independent over the prescribed frequency range. Consequently, the output spectral density matrix can be formulated in an Operational Modal Analysis (OMA) sense, where direct measurement of the inputs is not needed. A full spectral density matrix is then formulated from a single measurement on each blade obtained during a single test, thus reducing the number of measurement locations and testing excitation conditions. This matrix is fit by a Polyreference-Least Squares Complex Frequency-domain (P-LSCF) system identification technique tailored for OMA-type measurements. The methodology is tested using simulated TWE data for an IBR model using different damping levels. Comparisons between identified modal data and those used to create the model are made and show the methodology accurately predicts underlying system information even for closely-spaced modes that are common to IBRs. Finally, the method is used on experimental TWE data of an industrial IBR.
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