Design and construction of a 1.8 K superfluid 4He system with a G-M cryocooler

Li, Xu; Xu, Dong; Wang, Wei; Lin, Ping; Liu, Huiming; Nishimura, A.; Shen, Fei; Li, Laifeng

doi:10.1016/j.cryogenics.2019.06.007

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…Because the cross-talk on a LAMOST CCD is marginal, we only discuss how to extract 1D spectrum from an image with only one fiber. The image model can be found in (Li et al, 2019), which is:…”

Section: Spectrum Extraction Methods Based On Richardson-lucy Iterationmentioning

confidence: 99%

“…We use the similar construction method as (Li et al, 2019) to generate the simulation images. The simulation image is generated by an input 1D spectrum with 4,000 flux points given by the LAMOST pipeline convolved with PSFs with size of 13 × 15 pixels.…”

Section: Experiments On Simulation Imagesmentioning

confidence: 99%

“…in detail in (Li et al, 2019). Compared to the traditional methods, the deconvolution method is a completely different method, which tries to recover the 1D spectra by eliminating the instrumental profiles (Point Spread Function, PSF) on a 2D image.…”

mentioning

confidence: 99%

“…In the last paper (Li et al, 2019), we developed a deconvolution method based on adaptive Landweber iteration (ALI, hearafter), which can extract 1D spectra with the regularization parameter adaptively selected for every fiber. The SNR and resolution of 1D resulting spectra are both as high as those of the 1D resulting spectra extracted by TDM with a deliberately selected Tikhonov regularization parameter.…”

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confidence: 99%

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The Richardson-Lucy deconvolution method to extract LAMOST 1D spectra

Lü

et al. 2019

Res. Astron. Astrophys.

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We use the Richardson-Lucy deconvolution algorithm to extract one dimensional (1D) spectra from LAMOST spectrum images. Compared with other deconvolution algorithms, this algorithm is much more fast. The practice on a real LAMOST image illustrates that the 1D resulting spectrum of this method has a higher SNR and resolution than those extracted by the LAMOST pipeline. Furthermore, our algorithm can effectively depress the ringings that are often shown in the 1D resulting spectra of other deconvolution methods.

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Section: Spectrum Extraction Methods Based On Richardson-lucy Iterationmentioning

confidence: 99%

Section: Experiments On Simulation Imagesmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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The Richardson-Lucy deconvolution method to extract LAMOST 1D spectra

Lü

et al. 2019

Res. Astron. Astrophys.

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“…Salah satu mikroalga yang berpotensi sebagai agen pengolahan air limbah adalah Chlorella sp, karena memiliki kemampuan untuk menyerap nutrisi lebih tinggi dibandingkan spesies lainnya (Liu et al, 2012) dan layak untuk dibudidayakan karena sifatnya yang mudah dan cepat berkembangbiak (Darsono, 2007).…”

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Pengaruh kombinasi Fe dan Co terhadap pertumbuhan Chlorella sp. dan penyisihan COD limbah cair minyak sawit

Elystia

Zulfa

Muria

2020

DLI

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Palm oil mill effluent contains pollutants and has high content of organic matter. The treatment process of palm oil mill effluent generally with open pond system that requires extensive land and a long contact time. To reduce the number of ponds needed in the process of palm oil mill effluent, microalgae Chlorella sp. by using palm mill effluent which contains organic material as a source of nutrition for microalgae cultivation media Chlorella sp. to improve the efficiency of COD removal in palm oil mill effluent. In this research, variations of the concentration of Fe and Co micronutrients were combined with variations concentrations of Fe (0.3; 0.5 and 0.7) mg/L and Co (1 and 2) mg/L in flat-photobioreactors were carried out for 7 days with lighting by using sunlight. The results showed that at a combination of 0.5 mg/L Fe + 0.2 mg/L Co, the highest microalgae cell growth was 6 x 106 cell/ml and the highest removal efficiency of COD was 83.3%.

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