scholarly journals A low-noise, high-dynamic-range, digital receiver for radio astronomy applications: an efficient solution for observing radio-bursts from Jupiter, the Sun, pulsars, and other astrophysical plasmas below 30 MHz

2010 ◽  
Vol 510 ◽  
pp. A16 ◽  
Author(s):  
V. B. Ryabov ◽  
D. M. Vavriv ◽  
P. Zarka ◽  
B. P. Ryabov ◽  
R. Kozhin ◽  
...  
1970 ◽  
Vol 6 (7) ◽  
pp. 202
Author(s):  
J.R. Collard ◽  
A.R. Gobat

1998 ◽  
Vol 179 ◽  
pp. 49-55
Author(s):  
T.A. McKay

The introduction of of Charge Coupled Devices (CCDs) in the middle 1970s provided astronomy with nearly perfect (linear, high-sensitivity, low-noise, high dynamic-range, digital) optical detectors. Unfortunately, restrictions imposed by CCD production and cost has typically limited their use to observations of relatively small fields. Recently a combination of technical advances have made practical the application of CCDs to survey science. CCD mosaic cameras, which help overcome the size restrictions imposed by CCD manufacture, allow electronic access to a larger fraction of the available focal plane. Multi-fiber spectrographs, which couple the low-noise, high QE performance of CCDs with the ability to observe spectra for many objects at once, have improved the spectroscopic efficiency of telescopes by factors approaching half a million. An improved understanding of image distortion gives us telescopes on which we expect sub-arcsecond images a large fraction of the time. Finally, and perhaps most important, the performance of computer hardware continues to advance, to the point where analysis of multi-terabyte datasets, while still daunting, is at least conceivable.


Geophysics ◽  
2002 ◽  
Vol 67 (2) ◽  
pp. 468-477 ◽  
Author(s):  
James B. Lee ◽  
David L. Dart ◽  
Robert J. Turner ◽  
Mark A. Downey ◽  
Arthur Maddever ◽  
...  

Traditionally airborne time-domain electromagnetic (AEM) survey systems use induction coils as the sensor (receiver). We have replaced the induction coil in a transient electromagnetic (TEM) system with a liquid-nitrogen cooled superconducting quantum interference device (SQUID) magnetometer sensor. Using this prototype system, we aimed to improve performance in detecting conductive mineralization, particularly where the conductive mineralization of interest is covered by a conductive regolith. We successfully demonstrated one- and three-component SQUID sensors in airborne TEM surveying, and achieved performance comparable to the induction-coil systems. Implementation of the SQUID system required development of devices capable of operating in magnetically unshielded environments with low noise, high slew rate, and wide bandwidth. Operation of the SQUID sensor in the highly dynamic environment of a towed bird was also necessary, and this implies a high dynamic range and high level of noise associated with the motion in Earth's magnetic field. The high dynamic range of the SQUID response was handled by a combination of resetting the SQUID flux locked loop, reducing the bandwidth, and providing high-gain feedback in parallel with the flux locked loop. A digital stacking filter was used to eliminate low-frequency noise associated with sensor motion. Isolation of the sensor from motion at the TEM signal frequencies required development of a sophisticated suspension system. The SQUID systems were tested over two known conductive targets, and their performance compared with the induction-coil TEM system. A comparative performance measure is developed to take the different sensitivities of the SQUID magnetometer and induction-coil receivers into account. This measure indicates that the SQUID system has superior performance for responses over earth structures with decay time constants greater than ∼6 ms when compared with the induction-coil signals. We also estimate the performance in comparison with integrated outputs of the induction-coil system and show that, at the demonstrated levels of SQUID performance, it is expected to have poorer performance by a factor of two or more. This disadvantage will be reduced for lower frequency, wider channel width TEM configurations or by improvements in the SQUID devices.


2012 ◽  
Vol 8 (8) ◽  
pp. 623-627 ◽  
Author(s):  
Byeong Ho Eom ◽  
Peter K. Day ◽  
Henry G. LeDuc ◽  
Jonas Zmuidzinas

2021 ◽  
Author(s):  
A. Mentens ◽  
S. Martin ◽  
F. Descamps ◽  
J. Lataire ◽  
V.A. Jacobs

Glare assessments are currently made from High Dynamic Range (HDR) images taken from the Point Of View (POV) and viewing direction of a user. This paper analyses the feasibility to estimate the Daylight Glare Probability (DGP) at the user-level based on machine-learning techniques, sun position and a downward-pointing camera sensor mounted at the ceiling of a simulated office environment. Three different office cases have been considered: an empty room, an empty room with venetian blinds and a furnished room without venetian blinds. The influence of the sun direction has been considered as a parameter to predict the observer DGP. Subsequently, the best parameters have been selected to build a black box model using Artificial Intelligence (AI). Results show that, by using the DGP of the ceiling camera and the sun position, it is possible to accurately predict the DGP for an observer’s POV.


Sign in / Sign up

Export Citation Format

Share Document