Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations

Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed detailed B-D decomposition to redshift below 0.5, with limited excursions over small volumes at higher redshifts. Next-generation large sky space surveys in optical, e.g. from the China Space Station Telescope (CSST), and near-infrared, e.g. from the space EUCLID mission, will produce a gigantic leap in these studies as they will provide deep, high-quality photometric images over more than 15000 deg2 of the sky, including billions of galaxies. Here, we extend the use of the Galaxy Light profile neural Network (GaLNet) to predict 2-S\'ersic model parameters, specifically from CSST data. We simulate point-spread function (PSF) convolved galaxies, with realistic B-D parameter distributions, on CSST mock observations to train the new GaLNet and predict the structural parameters (e.g. magnitude, effective radius, Sersic index, axis ratio, etc.) of both bulge and disk components. We find that the GaLNet can achieve very good accuracy for most of the B-D parameters down to an $r$-band magnitude of 23.5 and redshift $\sim$1. The best accuracy is obtained for magnitudes, implying accurate bulge-to-total (B/T) estimates. To further forecast the CSST performances, we also discuss the results of the 1-S\'ersic GaLNet and show that CSST half-depth data will allow us to derive accurate 1-component models up to $r\sim$24 and redshift z$\sim$1.7

Design and implementation of the fuel supply for the high-temperature combustion system

This article describes the configuration and working principle of the high-temperature combustion system; according to the control requirements which have a wide range and high precision for fuel flow-rate of the high-temperature combustion system, a set of fuel supply system is designed based on the frequency conversion hydraulic technology and electro-hydraulic proportional technique. An automatic control system with the function of field and remote control is carried out to achieve the precise supply of the fuel. The transfer function which describes the dynamic characteristic of the fuel supply system is given and the dynamic matrix control algorithm is employed to realize the high-quality control of fuel flow-rate. The experimental results show that the response time of flow-rate is about 12 s, almost no overshoot, and control accuracy within 1%. Therefore, the designed fuel supply system can meet the requirements of the high-temperature combustion system, and the designed control system has good control performance