Positions Of Stars Research Articles

KINERJA DAYA SAING TEH HIJAU INDONESIA DI PASAR INTERNASIONAL

Tea commodity is one of the export commodities that can contribute to the Gross Domestic Product (GDP) of Indonesian plantations. Indonesia’s tea production fluctuates but tends to decline, resulting in declining tea exports. Indonesia’s tea production is dominated by 78% black tea, 20% green tea, and the remaining 2% other types of tea. Although green tea has lower exports than black tea, Indonesia’s green tea market share has a better market share. The purpose of the study was to determine the comparative and competitive competitiveness of green tea exports, as well as the position of Indonesia’s green tea export competitiveness (HS 090220) in the international market. The data used starts from 2011-2022 with 6 destination countries namely Poland, Germany, Taipei, Pakistan, Malaysia, and China. The analysis used is RCA (Revealed Comparative Advantage), EPD (Export Product Dynamic), and ISP (Trade Specialisation Index) analysis. The results of the analysis showed that Poland has the highest RCA value of 29.99 and followed by Germany, Taipei, Pakistan, and China which have strong competitiveness. While Malaysia has a weak competitiveness with an RCA value of 0.34. The results of the EPD analysis obtained that Poland is in the Rising Star position which means that Indonesian green tea has a competitive advantage and is experiencing a positive increase in market share, while China and Pakistan are in the Lost Opportunity position. Malaysia is located in the Retreat position, which means that Indonesian green tea does not have a competitive advantage, while Germany and Taipei are in the Falling Star position. ISP results obtained Indonesia as an exporter country and has a strong competitive position in Pakistan. Indonesia as an importer country and has a weak competitive position in China.

Spectroscopic Observations of the GALEX Nearby Young Star Survey Sample. I. Nearby Moving Group Candidates

The GALEX Nearby Young Star Search (GALNYSS) yielded the identification of more than 2000 late-type stars that, based on their ultraviolet and infrared colors and pre-Gaia proper motions, are potentially of age<200 Myr and lie within ~120 pc of Earth. We present the results of a campaign of medium- and high-resolution optical spectroscopy of 471 GALNYSS stars aimed at confirming their youth and their potential membership in nearby young stellar moving groups. We present radial velocity (RV), Li absorption, and H-alpha emission measurements for these spectroscopically observed GALNYSS stars, and assess their Li absorption and optical emission-line properties and infrared excesses. Our RV measurements are combined with literature and Gaia DR3 RV measurements and Gaia DR3 astrometry and photometry to obtain the spatiokinematics and color-magnitude positions of GALNYSS stars. We use these results to assess membership in the TW Hya, Tuc-Hor, Carina, Columba, and Argus Associations and the β Pic and AB Dor moving groups. We have identified 132 stars as candidate members of these seven groups; roughly half of these candidates are newly identified on the basis of data presented here. At least one-third of the 132 candidates are spectroscopic and/or photometric binaries and/or have comoving (visual) binary companions in Gaia DR3. The contingent of young, low-mass stars in the solar vicinity we identify here should provide excellent subjects for future direct imaging exoplanet surveys and studies of the early evolution of low-mass stars and their planetary progeny.

Adaptive and efficient isotonic estimation in Wicksell's problem

We consider nonparametric estimation in Wicksell's problem, which has applications in astronomy for estimating the distribution of star positions in a galaxy and in material sciences for determining a material's 3D microstructure from 2D cross sections. We focus on the isotonised version of the plug-in estimator (IIE) for the cdf F of the spheres' squared radii. This estimator is fully automatic, requiring no tuning parameters, and we show it is adaptive to local smoothness properties of the distribution function F to be estimated. We also prove a local asymptotic minimax lower bound in this non-standard setting, with log ⁡ n / n -asymptotics and where the functional F to be estimated is not regular. Combined, our results prove that the isotonic estimator (IIE) is an adaptive, easy-to-compute, and efficient estimator.

EXPERIMENT TO DETECT THE ABSOLUTE VELOCITY OF EARTH IN THE UNIVERSE

A number of experiments have been carried out to measure the velocity of earth in the space but absolute velocity of earth could not be detected. One of the most famous Michelson and Morley experiment was conducted in the year 1887 to detect the motion of earth with reference to luminiferous aether a supposed medium permeating space that was thought to be the carrier of light waves but unexpected results were obtained. The experiment has given negative results, MMX type experiments have been repeated so many times with steadily increasing sensitivity from 1902 to 1930 and more recently in the year 2009 by optical resonator but all the experiments confirmed the negative results of MMX. Albert Einstein submitted his special theory of relativity in the year 1905 and stated that there is no medium like aether for propagation of light waves and there is no absolute velocity in the universe, all the motions are relative. Relative velocity of earth has been measured by various methods and observations such as stellar parallax, position of stars and planets, satellite laser ranging, GPS and CMB radiation. Second postulate of STR states that velocity of light is constant in all inertial frames of reference, there is no effect of motion of source of light or observer on the speed of light. As the velocity of light is a universal Constant hence any velocity with reference to speed of light will be absolute velocity. On the basis of second postulate of STR absolute velocity of earth in the universe can be determined by experiment based on the laser light beams. A laser beam may be directed on the fixed screen and movement of laser spot due to motion of earth may be observed. The displacement of laser spot with passage of time may be observed to determine the velocity of earth. In the present article it is explained how the velocity of earth may be detected by measuring displacement of laser spot. The displacement of laser spot from its normal position will determine the absolute velocity of earth in the universe.

Market competitiveness of sunflower seed and oil products

Abstract Sunflower seed is one of the most widely traded products in the world, with total trade amounting to 20.36 million metric tons of total vegetable oil production in 2023. Sunflower seed is usually used as a material for cooking oil and food products, biofuel, cosmetics, and other derivates. Due to climate change and the fossil fuel energy crisis in Europe, the need for vegetable oil has increased; one is sunflower oil. Therefore, this research aims to identify the global sunflower market from its largest producing countries. This study uses primer data from interviews in some of the largest producer countries: the Netherlands, Romania, and Poland. Secondary data was also obtained from export data for sunflower-exporting countries worldwide from 2020 to 2021. The Boston Consulting Group (BCG) matrix is used for the data analysis to assess the performance of sunflower products in various major exporting countries worldwide. The results of this study show that Romania took the star position with the highest sunflower seed export, around 19.8% of the total economic value of 4.74 billion USD. Ukraine took the cash cow position in sunflower oil, and Turkiye took the cash cow position in the refined sunflower oil market. These positions indicate the dominance of the global market.

Competitiveness of Bali Province’s Cocoa Exports in the International Market

International trade greatly influences a country's economic growth. If a country exports more than it imports, that country's national income will increase, thus having a positive effect on economic growth. Indonesia has various products that are traded on the international market, one of which is cocoa produced by Bali Province. This research aims to analyze the competitiveness of Bali Province's cocoa exports in the international market along with the factors that influence the cocoa commodity exports. This research is quantitative descriptive research with the data used is annual data on the value of Bali Province cocoa exports for a period of 12 years from 2010 to 2021. The data collection technique used in this research is a literature study in the relevant agency (Disperindag Bali Province). Based on data analysis, it was found that Bali Province's cocoa exports in the period 2010 - 2021 did not have a comparative advantage as shown by the RCA analysis value of 0.54. Meanwhile, if we look at the competitive advantage based on the EPD analysis value, it is found that on average the Bali Province cocoa commodity is in a falling star position, which means it has a competitive advantage but low competitiveness. The export value of Bali Province's cocoa commodities is significantly influenced by the amount of cocoa production, the USD exchange rate, and inflation. Meanwhile, the international price of cocoa has not had a significant effect on the value of Bali Province's cocoa commodity exports.

Competitiveness of Bali Province’s Cocoa Exports in the International Market

International trade greatly influences a country's economic growth. If a country exports more than it imports, that country's national income will increase, thus having a positive effect on economic growth. Indonesia has various products that are traded on the international market, one of which is cocoa produced by Bali Province. This research aims to analyze the competitiveness of Bali Province's cocoa exports in the international market along with the factors that influence the cocoa commodity exports. This research is quantitative descriptive research with the data used is annual data on the value of Bali Province cocoa exports for a period of 12 years from 2010 to 2021. The data collection technique used in this research is a literature study in the relevant agency (Disperindag Bali Province). Based on data analysis, it was found that Bali Province's cocoa exports in the period 2010 - 2021 did not have a comparative advantage as shown by the RCA analysis value of 0.54. Meanwhile, if we look at the competitive advantage based on the EPD analysis value, it is found that on average the Bali Province cocoa commodity is in a falling star position, which means it has a competitive advantage but low competitiveness. The export value of Bali Province's cocoa commodities is significantly influenced by the amount of cocoa production, the USD exchange rate, and inflation. Meanwhile, the international price of cocoa has not had a significant effect on the value of Bali Province's cocoa commodity exports.

Optimization of polarization balance in beam splitter films for weak star simulator

In the weak star simulator, the background stray light of the self-excited star image and the simulated target star light are mixed with each other, which is difficult to separate and reduces the simulation accuracy of the star position. Therefore, based on the polarized light tracing method, this paper explores the induction mechanism of the polarization effect of the weak star simulator on the background stray light field of the star map, and proposes a polarization balance optimization method for the beam splitter film. At the same time, the mapping model of star position simulation accuracy, polarization parameters of beam splitter and polarization stray light suppression degree is established. Based on this evaluation function, the polarization balance optimization process of beam splitter is constructed to reduce the influence of polarization effect of beam splitter on the background stray light field of star image. The simulation and experimental results show that the stray light suppression ability of the weak star simulator is improved by 2.1 times and the simulation accuracy of the star position is improved by 1.64 times after the polarization balance optimization of the beam splitter film.

LMC stars and where to find them: inferring birth radii for external galaxies

ABSTRACT It is well known that stars are subject to radial migration, i.e. over time, they move away from their birth location. This dynamical process tends to mix different stellar populations and hence hinders the determination of the true chemical evolution of a galaxy (e.g. metallicity gradients). One way to account for radial migration is to infer stellar birth radii for individual stars. Many attempts to do so have been performed over the last few years, but are limited to the Milky Way, as computing the birth position of stars requires precise measurements of stellar metallicity and age for individual stars that cover large Galactic radii. Fortunately, recent and future surveys will provide numerous opportunities for inferring birth radii for external galaxies such as the LMC. In this paper, we investigate the possibility of doing so using the NIHAO cosmological zoom-in simulations. We find that it is theoretically possible to infer birth radii with a ∼25 per cent median uncertainty for individual stars in galaxies with i) orderliness of the orbits, $\langle v_\phi \rangle /\sigma _{v} > 2 $, ii) a dark matter halo mass greater or equal to approximately the LMC mass (∼2 × 1011 ${\rm M}_\odot$), and iii) after the average azimuthal velocity of the stellar disc reaches ∼70 per cent of its maximum. From our analysis, we conclude that it is possible and useful to infer birth radii for the LMC and other external galaxies that satisfy the above criteria.

Research on Optical System of Dim Target Simulator Based on Polarization Stray Light Suppression

In view of the lack of high-precision optical simulation equipment for dim space targets at present, in this study, a simulation method for dim space targets based on polarization stray light suppression is proposed, the overall optical system architecture of the optical engine for depolarization stray light suppression is constructed, the mechanism of stray light generation is explored, and the dark state light leakage suppression method is presented by compensating the phase of LCOS reflected light with wave plate; a high-image quality collimating optical system with large field of view and flat aberration is designed based on the illumination system optimization method of the critical angle matching of the spectroscopic film; and the polarization stray light suppression effect and star position simulation error of the dim target simulator are tested. The test results show that the illumination of the simulated dim target is ≮10−10 lx, the contrast is 6.96, the non-uniformity of the bright state is only 5.88%, and the simulation error of the star position is 9.9″. This research can make some contributions to enhancing the observability of detecting dim targets, breaking through the detection technology of extremely dark targets in space, developing advanced deep space detection capabilities, and improving the engineering technology system of deep space exploration.

MEASURING THE COMPARATIVE AND COMPETITION OF INDONESIAN WOOD CHARCOAL EXPORTS IN THE SAUDI ARABIAN MARKET

Objective: This study examines the comparative and competitive export of wood charcoal in four potential countries, namely Indonesia, Malaysia, China, and Vietnam, in the Saudi Arabian Market with HS Code 4402. This study used annual data for nine years from 2014 - 2022, divided into three periods. Method: This study used the Herfindahl-Hirschman Index (HHI) and concentration Ratio (CR), Revealed Symmetric Comparative Advantage (RSCA), Export Product Dynamic (EPD), X-Model, and Trade Specialization Index (ISP) models to measure the wood charcoal industry in the Saudi Arabian Market. Result: The findings show that wood charcoal market in Saudi Arabia exhibits a strict oligopoly structure, with Indonesia and China dominating the market share. Indonesia emerged as the top supplier of wood charcoal to Saudi Arabia during for nine years. Malaysia showed the highest competitiveness among potential countries in certain periods. Overall, Indonesia, China, Vietnam, and Malaysia demonstrated strong competitive positions, with dynamic export growth, positioning them as "Rising Stars" in the market. These countries specialized as wood charcoal exporters to Saudi Arabia, reaching a mature stage in their market presence during the analyzed period from 2014 to 2022. Conclusion: This study concludes that Indonesia became the highest supplier with a market share of 53.51% and had a strong comparative advantage. Malaysia has the highest optimistic market development, followed by Indonesia, Vietnam, and China. Indonesia's wood charcoal competitiveness position remains in the Rising Star position. The Trade Specialization Index of four potential countries at this stage of maturation.

Dynamic Competitiveness of Indonesian Commodities in Major Export Destination

This study aims to analyze the export competitiveness and market position of the agricultural, manufacturing, and mining sectors in 10 main export destination countries (China, the United States, Japan, India, Singapore, Malaysia, South Korea, Thailand, the Netherlands, and the Philippines). This study uses secondary data sourced from UN COMTRADE for the period of 2013 – 2018. The data is categorized using a 2-digit Harmonized System (HS) classification. This study uses Revealed Comparative Advantage (RCA) and Export Product Dynamics (EPD) analysis tools. The RCA estimation results show the export competitiveness of Indonesia’s agricultural, industrial, and mining products is still weak and strong in several major export destination countries. Meanwhile, the EPD estimation shows the Indonesia’s exports of agricultural, industry, and mining commodities mostly got rising star positions in some countries but losing opportunity positions in some other countries. The following suggestions proposed are based on the research. In general, the implications of policy to improve the competitiveness of export products in the manufacturing, agriculture, and mining industries are infrastructure improvement, expansion of the export market, improvement in the quality of human resources, and employment, increasing access to finance, increasing the quality and quantity of production in processing, agriculture and mining industries, and maintaining political

Improving the light curves of gravitationally lensed quasars with Gaia proper motion data

Aims. We show how to significantly improve difference image analysis (DIA) of gravitationally lensed quasars over long periods of time using Gαία proper motions. Methods. DIA requires the subtraction of a reference image from the individual images of a monitoring campaign, using stars in the field to align the images. Since the proper motion of the stars can be of the same order as the pixel size during a several-year campaign, we use Gaia DR3 proper motions to enable a correct image alignment. The proper motion corrected star positions can be aligned by the ISIS package. DIA is carried out using the HOTPAnTS package. We apply point spread function (PSF) photometry to obtain light curves and add a proper motion correction of the PSF star to GALFIT. Results. We apply our method to the light curves of the three gravitationally lensed quasars HE1104-1805, HE2149-2745 and Q2237+0305 in the R and V band, respectively, obtained using 1 m telescopes of the Las Cumbres Observatory from 2014 to 2022. We show that the image alignment and the determination of the lensed quasar positions is significantly improved by this method. The light curves of individual quasar images display intrinsic quasar variations and are affected by chromatic microlensing.

Swarming in stellar streams: Unveiling the structure of the Jhelum stream with ant colony-inspired computation

The halo of the Milky Way galaxy hosts multiple dynamically coherent substructures known as stellar streams that are remnants of tidally disrupted orbiting systems such as globular clusters (GCs) and dwarf galaxies (DGs). A particular case is that of the Jhelum stream, which is known for its unusual and complex morphology. Using the available data from the Gaia DR3 catalog, we extracted a region on the sky that contains Jhelum, and fine-tuned this selection by enforcing limits on the magnitude and proper motion of the selected stars. We then applied the novel Locally Aligned Ant Technique (LAAT) on the position and proper motion space of stars belonging to the selected region to highlight the stars that are closely aligned with a local manifold in the data and the stars belonging to regions of high local density. We find that the overdensity representing the stream in proper motion space is composed of two components, and show the correspondence of these two signals to the previously reported narrow and broad spatial components of Jhelum. We then made use of the radial velocity measurements provided by the S5 survey and confirm, for the first time, a separation between the stars belonging to the two components in radial velocity. We show that the narrow and broad components have velocity dispersions of 4.84+1.23-0.79 km s-1 and 19.49+2.19-1.84 km s−1, and metallicity dispersions of 0.15+0.18-0.10 and 0.34+0.13-0.09, respectively. These measurements, as well as the given difference in component widths, could be explained with a probable scenario where Jhelum is the remnant of a GC embedded within a DG and where both were accreted onto the Milky Way during their infall. Although the properties of Jhelum could be explained with this merger scenario, other progenitors of the narrow component remain possible such as a nuclear star cluster or a DG. To rule these possibilities out, we would need more observational data of member stars of the stream. Our analysis shows that the internal structure of streams holds great information on their past formation history, and therefore provides further insight into the merger history of the Milky Way.

The sustainability of production and the US Dollar exchange rate influence Indonesian Cocoa and Pepper exports and their competitiveness

This research aims to determine the sustainability of production factors and the US dollar exchange rate on Indonesian cocoa and pepper exports for the 2002-2021, as well as their competitiveness with Malaysia, Singapore, Thailand, Vietnam, and Japan during the period of 2017-2021. The data analysis methods used were Multiple Linear Regression, RAC, and EPD. The research results indicate that production sustainability has a significant effect on Indonesian cocoa and pepper exports for the 2002-2021 period, while the US Dollar exchange rate variable has a significant effect on cocoa exports but an insignificant effect on pepper exports. The competitiveness of Indonesian cocoa for the 2017-2021 period, using the RCA method, is strong in Malaysia, Singapore, and Japan but weak in Thailand and Vietnam. However, with the EPD method, exports to Singapore and Vietnam are in the Raising Star position, to Thailand and Japan in the Falling Star position, and to Malaysia in the Lost Opportunity position. With the RCA method for the 2017-2021 period, Indonesia’s pepper competitiveness is weak in Malaysia, Singapore, Thailand, Vietnam, and Japan, but with the EPD method, it is Raising Star in Malaysia and Vietnam, Falling Star in Thailand and Japan, and Lost Opportunity in Singapore.

Export competitiveness of Indonesian coffee in the United States market

Indonesia’s economic growth has slowed down during the pandemic. Coffee is a foreign exchange-producing agricultural commodity for Indonesia and has become a pillar of the national economy because of its contribution to the gross domestic product. The purpose of this study was to analyse the competitiveness of Indonesian coffee exports in the United States market. The methods employed included the Revealed Comparative Advantage, which can measure export competitiveness comparatively, and the Export Product Dynamic method to analyse and map the position of export competitiveness. The analysis results were also measured to compare the export competitiveness of Vietnamese coffee. The findings showed that Indonesian coffee and Vietnamese coffee in the United States market have a value above 1, proving that both have export competitiveness advantages. The average Revealed Comparative Advantage value of Indonesian coffee is higher than that of Vietnamese coffee, meaning that Indonesian coffee exports are superior to Vietnamese coffee exports to the United States. Meanwhile, the results of the Export Product Dynamic analysis showed that the competitiveness of Indonesian coffee exports is in the position of Lost Opportunity, where the position has shifted from the pre-pandemic position, namely Retreat. Meanwhile, the competitiveness of Vietnamese coffee exports was in the Rising Star position, which shifted from the previous position of Lost Opportunity. Lost Opportunity of Indonesian coffee shows that the strength of Indonesia’s coffee commodity business is weak, but commodity exports are still competitive. The analysis results indicated that even though Indonesia’s coffee has export competitiveness, it is not competitive enough in the United States. This study provided an overview of the export competitiveness of Indonesian coffee in the United States, which can be used as a basis for determining strategic steps in an effort to dominate the market to obtain trade benefits

Research on Guide Star Distribution of Sub-Arcsecond Attitude Determination for Microsatellites Reusing Scientific Cameras

Onboard scientific cameras are reused in attitude determination to meet the sub-arcsecond attitude determination accuracy requirements of microsatellites. This approach does not require an additional payload for microsatellites. It involves reusing high-quality optical lenses from the scientific camera and utilizing the peripheral high-quality imaging areas of its square-shaped detector. Separate detectors are placed within these areas as attitude determination detectors to obtain star patterns for closed-loop attitude determination, thereby achieving high-precision attitude determination for microsatellites. The star patterns obtained using this method may pose specific issues due to the relative positions of stars. Through an analysis of the theoretical model that examines the relationship between attitude determination accuracy and the main influencing factors, it is indicated that guide star distribution is one of the main, complex factors determining attitude determination accuracy. A further simulation analysis was conducted on the specific impact of two guide star distribution characteristics—namely, the coverage of guide stars in the attitude determination areas and the proportion of the average field of view occupied by the guide star triangles to the total field of view of the attitude determination areas—on attitude determination accuracy. This study concludes that when the measurement error of the guide stars is bigger than the attitude determination accuracy requirement for its area configuration, four attitude determination areas should be configured. Four attitude determination areas should be prioritized when the measurement error is equal to or smaller than the attitude determination accuracy requirement, followed by the option to configure three attitude determination areas or two symmetric attitude determination areas. When selecting guide stars for star pattern recognition, the guide stars should cover the attitude determination areas as much as possible, and guide stars with a higher proportion of the average field of view occupied by the guide star triangles to the total field of view should be chosen. Finally, experimental validation was conducted using star patterns from dense star fields and sparse star fields. The research results provide an important reference for the optimization of attitude determination area configuration, navigation star catalog construction, and star pattern recognition algorithm research for microsatellites equipped with scientific cameras.

AN ANALYSIS ON FIVE FORCES DAN BCG MATRIX FOR APPLE INC. COMPANY

This research aims to conduct an analysis of Five Forces and BCG Matrix for Apple Inc. The Five Forces analysis is used to evaluate the competitiveness of the industry in which Apple operates, while the BCG Matrix is employed to measure the company's product portfolio. Data for this study are sourced from reliable resources, including the company's financial reports, industry reports, and related publications. The Five Forces analysis reveals that the technology and software industry in which Apple operates is highly competitive. Threats from major competitors, the level of product substitution, and the bargaining power of buyers significantly impact the company's strategies and performance. However, Apple's strong brand equity and robust product ecosystem provide a competitive advantage in navigating the pressures from these five forces. In the BCG Matrix analysis, Apple's core products such as the iPhone, iPad, and Mac show a position of stars and question marks, indicating high growth potential. On the other hand, some older products and unproven innovations fall into the category of cash cows and dogs, with lower growth prospects. The results of the Five Forces and BCG Matrix analysis provide a comprehensive overview of Apple's market position and aid in formulating the company's long-term strategies. Apple's management can leverage these findings to optimize the product portfolio and address competitive challenges in the ever-evolving technology industry. While Apple holds a strong market position, new challenges will continually emerge, necessitating effective strategies to maintain competitiveness and ensure the company's growth in the future.

Daya Saing Kopi Indonesia di Pasar Internasional dalam 3 Dekade Terakhir

Coffee is one of the most important commodities that have an important role in economic growth, especially in supporting the increase of non-oil exports in Indonesia and as a foreign exchange earner. The purpose of this article is to analyze competitiveness of Indonesian coffee in international market in the last 3 decades or during period 1989–2019. Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), X-Model Potential Export Product and Diamond Porter’s is used to analysis competitiveness. The results of the analysis of competitiveness using the RCA method show that not all HS codes for Indonesian coffee and competing countries have a comparative advantage, Indonesian coffee has strong competitiveness for HS code 090111 but has no strong competitive power for other HS codes. The results of the EPD method show that for all HS codes Indonesian coffee and competing countries have a rising star position or have positive appeal and increased market share. The results of the X-Model Potential Export Product method show that Indonesia and competing countries have optimistic coffee market developments for HS code 090111 and have potential market developments for HS codes 090112, 090121, 090122, and 090190. From the results of Porter Diamond's analysis, the results obtained that the State of Indonesia has advantages in terms of condition factors, namely natural resources and has weaknesses in science and technology, human resources and capital resources.

A star identification algorithm for rolling shutter exposure based on Hough transform

The star identification algorithm usually identifies stars by angular distance matching. However, under high dynamic conditions, the rolling shutter effect distorts the angular distances between the measured and true star positions, leading to plethoric false matches and requiring complex and time-consuming verification for star identification. Low identification rate hinders the application of low-noise and cost-effective rolling shutter image sensors. In this work, we first study a rolling shutter distortion model of angular distances between stars, and then propose a novel three-stage star identification algorithm to identify distorted star images captured by the rolling shutter star sensor. The first stage uses a modified grid algorithm with adaptive error tolerance and an expanded pattern database to efficiently eliminate spurious matches. The second stage performs angular velocity estimation based on Hough transform to verify the matches that follow the same distortion pattern. The third stage applies a rolling shutter error correction method for further verification. Both the simulation and night sky image test demonstrate the effectiveness and efficiency of our algorithm under high dynamic conditions. The accuracy of angular velocity estimation method by Hough transform is evaluated and the root mean square error is below 0.5 (°)/s. Our algorithm achieves a 95.7% identification rate at an angular velocity of 10 (°)/s, which is much higher than traditional algorithms.