Kavli Affiliate: Hu Zhan
| First 5 Authors: Huai-Jin Tang, Huai-Jin Tang, , ,
| Summary:
Low Earth Orbit satellite (LEOsat) mega-constellations are considered to be
an unavoidable source of contamination for survey observations to be carried
out by the China Space Station Telescope (CSST) over the next decade. This
study reconstructs satellite trail profiles based on simulated parameters,
including brightness levels and orbital altitudes, in combination with
multi-band simulated images. Compared to our previous work, the simulated
images in this study more accurately replicate the realistic observational
conditions of CSST and extend beyond single-band analysis. Variations in LEOsat
trail brightness, source brightness, background noise, and source density
across different bands result in differing levels of accuracy in trail
reconstruction and subsequently affect the reliability of photometric
measurements. The reconstructed trail profiles are subsequently applied to
correct the contaminated regions. Simulation results reveal varying levels of
contamination effects across different bands following LEOsat trail correction,
including both reconstruction and subtraction. To evaluate the effectiveness of
the correction, we quantified the fraction of affected sources using two
metrics: (1) magnitude errors greater than 0.01 mag attributable to LEOsats,
and (2) LEOsat-induced noise exceeding 10% of other noise contributions.
Following trail repair, the analysis reveals a reduction of over 50% in the
fraction of affected sources in the NUV band for both 550 km and 1200 km
altitudes, assuming a maximum brightness of 7 in the V band. In the i band, the
reduction exceeds 30%. The degree of improvement varies across spectral bands,
and depends on both satellite altitude and the adopted brightness model.
| Search Query: ArXiv Query: search_query=au:”Hu Zhan”&id_list=&start=0&max_results=3