scholarly journals Flame : A flexible data reduction pipeline for near-infrared and optical spectroscopy

2018 ◽  
Vol 478 (2) ◽  
pp. 2097-2112 ◽  
Author(s):  
Sirio Belli ◽  
Alessandra Contursi ◽  
Richard I Davies
2004 ◽  
Vol 193 ◽  
pp. 189-192
Author(s):  
M. Dall’Ora ◽  
G. Bono ◽  
J. Storm ◽  
V. Ripepi ◽  
V. Testa ◽  
...  

AbstractWe present U, B, V, I (SUSI@NTT) and J,Ks (SOFI@NTT) photometry of the Large Magellanic Cloud (LMC) cluster Reticulum. The observing strategy and data reduction (DAOPHOTII/ALLFRAME) allowed us to reach an accuracy of the order of 0.01 – 0.03 mag in all the bands at limiting magnitudes typical of RR Lyrae stars. Reticulum hosts a sizable sample of RR Lyrae stars (32), and we supply an accurate distance estimate using the RR Lyrae K-band Period-Luminosity-Metallicity (PLZK) relation. This method presents several advantages when compared with the MV vs [Fe/H] relation, since it is only marginally affected by off-ZAHB evolutionary effects and reddening corrections.


2019 ◽  
Vol 632 ◽  
pp. A25 ◽  
Author(s):  
D. Mesa ◽  
M. Keppler ◽  
F. Cantalloube ◽  
L. Rodet ◽  
B. Charnay ◽  
...  

Context. PDS 70 is a young (5.4 Myr), nearby (~113 pc) star hosting a known transition disk with a large gap. Recent observations with SPHERE and NACO in the near-infrared (NIR) allowed us to detect a planetary mass companion, PDS 70 b, within the disk cavity. Moreover, observations in Hα with MagAO and MUSE revealed emission associated to PDS 70 b and to another new companion candidate, PDS 70 c, at a larger separation from the star. PDS 70 is the only multiple planetary system at its formation stage detected so far through direct imaging. Aims. Our aim is to confirm the discovery of the second planet PDS 70 c using SPHERE at VLT, to further characterize its physical properties, and search for additional point sources in this young planetary system. Methods. We re-analyzed archival SPHERE NIR observations and obtained new data in Y, J, H and K spectral bands for a total of four different epochs. The data were reduced using the data reduction and handling pipeline and the SPHERE data center. We then applied custom routines (e.g., ANDROMEDA and PACO) to subtract the starlight. Results. We re-detect both PDS 70 b and c and confirm that PDS 70 c is gravitationally bound to the star. We estimate this second planet to be less massive than 5 MJup and with a Teff around 900 K. Also, it has a low gravity with logg between 3.0 and 3.5 dex. In addition, a third object has been identified at short separation (~0.12′′) from the star and gravitationally bound to the star. Its spectrum is however very blue, meaning that we are probably seeing stellar light reflected by dust and our analysis seems to demonstrate that it is a feature of the inner disk. We cannot however completely exclude the possibility that it is a planetary mass object enshrouded by a dust envelope. In this latter case, its mass should be of the order of a few tens of M⊕. Moreover, we propose a possible structure for the planetary system based on our data, and find that this structure cannot be stable on a long timescale.


2009 ◽  
Vol 17 (2) ◽  
pp. 101-107 ◽  
Author(s):  
Josefina Nyström ◽  
Britta Lindholm-Sethson ◽  
Paul Geladi

Clinical studies may be carried out using non-invasively collected near infrared spectra of patient skin. Two problems encountered are: (1) data reduction to go from thousands of wavelengths to some clinically relevant estimator and (2) getting statistical significance from noisy data with sometimes very skewed distributions. The problem of data reduction can usually be solved by principal component analysis to get a few meaningful components. In the space spanned by these components, a direction of discrimination may have to be found, typically discrimination between treated and control. A visual difference in a score plot is often not enough; statistical significance has to be demonstrated. Once a univariate estimator is found, non-parametric testing can show significant differences, even if the data are noisy and have an unknown and skewed distribution. The NOPRAPOD method com bines the actions of finding a direction in a reduced data space and performing the non-parametric significance testing by producing a disk of significance. Two examples are included. Example one is from a study of diabetes-related neuropathy where it is shown that significant differences show up in the NIR spectra. Example two is from a study of post-operative radiation treatment of breast cancer patients, where it is shown that radiation effects (erythema) and the effect of lotion can be determined with an indication of significance from the NIR spectra.


2017 ◽  
Vol 29 (7) ◽  
pp. 2883-2889 ◽  
Author(s):  
Ali Hossain Khan ◽  
Rosaria Brescia ◽  
Anatolii Polovitsyn ◽  
Ilaria Angeloni ◽  
Beatriz Martín-García ◽  
...  

2005 ◽  
Vol 130 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Rodger I. Thompson ◽  
Garth Illingworth ◽  
Rychard Bouwens ◽  
Mark Dickinson ◽  
Daniel Eisenstein ◽  
...  

2012 ◽  
Vol 421 (4) ◽  
pp. 3622-3640 ◽  
Author(s):  
K. T. Paul ◽  
A. Subramaniam ◽  
B. Mathew ◽  
R. E. Mennickent ◽  
B. Sabogal

2019 ◽  
Vol 158 (4) ◽  
pp. 153
Author(s):  
Marie Lemoine-Busserolle ◽  
Nathaniel Comeau ◽  
Collin Kielty ◽  
Kerry Klemmer ◽  
Megan E. Schwamb

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