ترغب بنشر مسار تعليمي؟ اضغط هنا

IRS-TR 12003: Constructing Low-Resolution Truth Spectra of the Standard Stars HR 6348 and HD 173511

53   0   0.0 ( 0 )
 نشر من قبل G. C. Sloan
 تاريخ النشر 2012
  مجال البحث فيزياء
والبحث باللغة English




اسأل ChatGPT حول البحث

This report describes the generation of fully calibrated spectra of the K giants HR 6348 and HD 173511 from data obtained with the low-resolution modules of the Infrared Spectrograph (IRS), with an emphasis on the spectra from the Long-Low (LL) module. The spectra were calibrated using Kurucz models and IRS observations of the A dwarfs alpha Lac and delta UMi. The calibration process required mitigation for fringing in the first-order LL spectrum and a faint red excess in alpha Lac which may arise from a low-contrast debris disk. The final calibrated spectrum of HR 6348 has a spectroscopic fidelity of 0.5% or better below 29 um, with an uncertainty increasing to ~1% at 33-37 um. The final calibrated spectrum of HD 173511 has a spectroscopic fidelity of ~0.5% at all wavelengths below 35.8 um.

قيم البحث

اقرأ أيضاً

122 - G.C. Sloan , D. Ludovici 2012
This report describes in detail the generation of a truth spectrum of HR 6348, using observations with the Short-Low (SL) module of the Infrared Spectrograph of HR 6348, and the A dwarfs alpha Lac and delta UMi. Using spectral ratios, we can propagat e Kurucz models of the A dwarfs to the K giant HR 6348, which can then serve to calibrate the remaining database of SL spectra. Mitigation in the vicinity of the Pfund-a line is necessary to reduce residual artifacts at 7.45 um. In general, the new SL spectrum of HR 6348 has a spectroscopic fidelity of ~0.5% or better. Artifacts from the hydrogen recombination lines in the A dwarfs will generally be smaller than this limit, although the residual artifact from the blend of lines near Pfund-alpha exceeds the limit at ~0.7%.
297 - G.C. Sloan , D. Ludovici 2012
We investigate how the shape of a spectrum in the Short-Low module on the IRS varies with its overall throughput, which depends on how well centered a source is in the spectroscopic slit. Using flux ratios to quantify the overall slope or color of th e spectrum and plotting them vs. the overall throughput reveals a double-valued function, which arises from asymmetries in the point spread function. We use this plot as a means of determining which individual spectra are valid for calibrating the IRS.
We present a calibration of the acquisition data obtained by the Red Peak-Up (PU) sub-array on the Infrared Spectrograph on Spitzer, based on repeated observations of three K giants. This calibration is tied directly to the most current infrared cali bration based on data from Multiband Imaging Photometer for Spitzer. An analysis of the responsivity of the Red PU sub-array reveals no detectable deviations from linearity in the most recent pipeline version, but older pipeli
Given that low-mass stars have intrinsically low luminosities at optical wavelengths and a propensity for stellar activity, it is advantageous for radial velocity (RV) surveys of these objects to use near-infrared (NIR) wavelengths. In this work we d escribe and test a novel RV extraction pipeline dedicated to retrieving RVs from low mass stars using NIR spectra taken by the CSHELL spectrograph at the NASA Infrared Telescope Facility, where a methane isotopologue gas cell is used for wavelength calibration. The pipeline minimizes the residuals between the observations and a spectral model composed of templates for the target star, the gas cell, and atmospheric telluric absorption; models of the line spread function, continuum curvature, and sinusoidal fringing; and a parameterization of the wavelength solution. The stellar template is derived iteratively from the science observations themselves without a need for separate observations dedicated to retrieving it. Despite limitations from CSHELLs narrow wavelength range and instrumental systematics, we are able to (1) obtain an RV precision of 35 m/s for the RV standard star GJ 15 A over a time baseline of 817 days, reaching the photon noise limit for our attained SNR, (2) achieve ~3 m/s RV precision for the M giant SV Peg over a baseline of several days and confirm its long-term RV trend due to stellar pulsations, as well as obtain nightly noise floors of ~2 - 6 m/s, and (3) show that our data are consistent with the known masses, periods, and orbital eccentricities of the two most massive planets orbiting GJ 876. Future applications of our pipeline to RV surveys using the next generation of NIR spectrographs, such as iSHELL, will enable the potential detection of Super-Earths and Mini-Neptunes in the habitable zones of M dwarfs.
The full third Gaia data release will provide the calibrated spectra obtained with the blue and red Gaia slit-less spectrophotometers. The main challenge when facing Gaia spectral calibration is that no lamp spectra or flat fields are available durin g the mission. Also, the significant size of the line spread function with respect to the dispersion of the prisms produces alien photons contaminating neighbouring positions of the spectra. This makes the calibration special and different from standard approaches. This work gives a detailed description of the internal calibration model to obtain the spectrophotometric data in the Gaia catalogue. The main purpose of the internal calibration is to bring all the epoch spectra onto a common flux and pixel (pseudo-wavelength) scale, taking into account variations over the focal plane and with time, producing a mean spectrum from all the observations of the same source. In order to describe all observations in a common mean flux and pseudo-wavelength scale, we construct a suitable representation of the internally calibrated mean spectra via basis functions and we describe the transformation between non calibrated epoch spectra and calibrated mean spectra via a discrete convolution, parametrising the convolution kernel to recover the relevant coefficients. The model proposed here is able to combine all observations into a mean instrument to allow the comparison of different sources and observations obtained with different instrumental conditions along the mission and the generation of mean spectra from a number of observations of the same source. The output of this model provides the internal mean spectra, not as a sampled function (flux and wavelength), but as a linear combination of basis functions, although sampled spectra can easily be derived from them.
التعليقات
جاري جلب التعليقات جاري جلب التعليقات
سجل دخول لتتمكن من متابعة معايير البحث التي قمت باختيارها
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا