Candidates Selected Research Articles

Chemodynamical properties and ages of metal-poor stars in S-PLUS

ABSTRACT Metal-poor stars are key to our understanding of the early stages of chemical evolution in the Universe. New multifilter surveys, such as the Southern Photometric Local Universe Survey (S-PLUS), are greatly advancing our ability to select low-metallicity stars. In this work, we analyse the chemodynamical properties and ages of 522 metal-poor candidates selected from the S-PLUS data release 3. About 92 per cent of these stars were confirmed to be metal-poor ([Fe/H] ≤ −1) based on previous medium-resolution spectroscopy. We calculated the dynamical properties of a subsample containing 241 stars, using the astrometry from Gaia Data Release 3. Stellar ages are estimated by a Bayesian isochronal method formalized in this work. We analyse the metallicity distribution of these metal-poor candidates separated into different subgroups of total velocity, dynamical properties, and ages. Our results are used to propose further restrictions to optimize the selection of metal-poor candidates in S-PLUS. The proposed astrometric selection (parallax >0.85 mas) is the one that returns the highest fraction of extremely metal-poor stars (16.3 per cent have [Fe/H] ≤ −3); the combined selection provides the highest fraction of very metal-poor stars (91.0 per cent have [Fe/H] ≤ −2), whereas the dynamical selection (eccentricity >0.35 and discness < 0.75) is better for targeting metal-poor (99.5 per cent have [Fe/H] ≤ −1). Using only S-PLUS photometric selections, it is possible to achieve selection fractions of 15.6, 88.5, and 98.3 per cent for metallicities below −3, −2, and −1, respectively. We also show that it is possible to use S-PLUS to target metal-poor stars in halo substructures such as Gaia-Sausage/Enceladus, Sequoia, Thamnos, and the Helmi stream.

한국 정당 공천에서 ‘토의 민주주의(Deliberative Democracy)’ 적용 가능성 연구

Candidate selection is an important issue that determines the quality of representative democracy. The final candidates selected by the people in the election are those who have passed the nomination process of the political party. In other words, the representatives chosen by the people cannot exceed the quality of party nominations. Therefore, the demand for “democratization” of candidate selection methods must now enter a new stage. It is not just democratization that returns the right of nomination to the people, but rather how the decision can be connected with a higher quality choice. In this respect, the problematic awareness of this study is focused on how to improve the quality of Korean party nominations. In this article, I focus on deliberative democracy in order to ensure that deliberation can be ensured in a thoughtful discussion, rather than a party's primary election being reduced to a 'survey democracy' based on opinion polls. If institutional planning is carried out in the candidate selection process in the future, it attempts to make an exploratory proposal on whether deliberative democracy can work.

The OTELO survey

Context. The OSIRIS Tunable Filter Emission Line Object (OTELO) survey is a very deep, blind exploration of a selected region of the Extended Groth Strip and is designed for finding emission-line sources (ELSs). The survey design, observations, data reduction, astrometry, and photometry, as well as the correlation with ancillary data used to obtain a final catalogue, including photo-z estimates and a preliminary selection of ELS, were described in a previous contribution. Aims. Here, we aim to determine the main properties and luminosity function (LF) of the [O III] ELS sample of OTELO as a scientific demonstration of its capabilities, advantages, and complementarity with respect to other surveys. Methods. The selection and analysis procedures of ELS candidates obtained using tunable filter pseudo-spectra are described. We performed simulations in the parameter space of the survey to obtain emission-line detection probabilities. Relevant characteristics of [O III] emitters and the LF ([O III]), including the main selection biases and uncertainties, are presented. Results. From 541 preliminary emission-line source candidates selected around z = 0.8, a total of 184 sources were confirmed as [O III] emitters. Consistent with simulations, the minimum detectable line flux and equivalent width in this ELS sample are ∼5 × 10−19 erg s−1 cm2 and ∼6 Å, respectively. We are able to constrain the faint-end slope (α = −1.03 ± 0.08) of the observed LF ([O III]) at a mean redshift of z = 0.83. This LF reaches values that are approximately ten times lower than those from other surveys. The vast majority (84%) of the morphologically classified [O III] ELSs are disc-like sources, and 87% of this sample is comprised of galaxies with stellar masses of M⋆ < 1010 M⊙.

ASSESSMENT CENTER AS AN EFFECTIVE SELECTION TO THE POSITION OF THE TRADE REPRESENTATIVE – CASE STUDY

The article presents realization stages of the Assessment Center process for the sales representative in a large manufacturing company, which has an established position and is the leader of its industry on the Polish market. Over two years three selection processes were done using the Assessment Center method in the sales department of surveyed company. Each time the goal was to obtain at least one sales representative who would join the existing nine person team. Both in the case of the first and second recruitment, the candidates selected by the assessors did not meet expectations and after the trial period the contract was not renewed. During third recruitment process, the Assessment Center method was also used, however, the process was carried out in accordance with the standards set out in the Guidelines and Ethical Considerations for Assessment Center Operations. This contributed to increasing the effectiveness of selection, the goal was achieved and two new employees were recruited, who continued their work after the trial period. The aim of the article is to evaluate the conditions of effective use of the Assessment Center method in the selection of candidates for the position of a sales representative, based on literature and empirical studies.

Active galactic nucleus selection in the AKARI NEP-Deep field with the fuzzy support vector machine algorithm

Abstract The aim of this work is to create a new catalog of reliable active galactic nucleus (AGN) candidates selected from the AKARI NEP-Deep field. Selection of the AGN candidates was done by applying a fuzzy support vector machine algorithm, which allows the incorporation of measurement uncertainties into the classification process. The training dataset was based on the spectroscopic data available for selected objects in the NEP-Deep and NEP-Wide fields. The generalization sample was based on the AKARI NEP-Deep field data, including objects without optical counterparts and making use of the infrared information only. A high quality catalog of 275 previously unclassified AGN candidates was prepared.

Do regional party primaries affect the ideological cohesion of political parties in multilevel systems? Evidence from Spain

Parties have strong incentives to present a relatively cohesive policy position to the voters across different levels of a political system. However, the adoption of inclusive forms of candidate selection methods like primaries could result in the selection of top candidates for elections on the subnational sphere who are not favoured by the party leadership. This is often seen as a threat to high levels of intra-party programmatic cohesion. Because subnational party organizations depend to a significant degree on the support from their national party, we argue that regional party branches that selected their top candidates by means of a primary adopt a policy position that deviates less strongly from the one of their national party. However, candidates selected by primaries might need to be responsive to the preferences of their regional selectorate, so that the incentives for parties at a regional level to deviate substantially from the position of their national party organization could increase. By analysing the content of 150 regional election manifestos of Spanish parties, we find that if a party’s top candidate for a regional election is selected in a primary, then the policy distance between the respective regional and national party decreases. However, this effect is not observable for recently founded parties.

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign – I. Overview and classification of candidates selected by two techniques

The primary goals of the STRong lensing Insights into the Dark Energy Survey (STRIDES) collaboration are to measure the dark energy equation of state parameter and the free streaming length of dark matter. To this aim, STRIDES is discovering strongly lensed quasars in the imaging data of the Dark Energy Survey and following them up to measure time delays, high resolution imaging, and spectroscopy sufficient to construct accurate lens models. In this paper, we first present forecasts for STRIDES. Then, we describe the STRIDES classification scheme, and give an overview of the Fall 2016 follow-up campaign. We continue by detailing the results of two selection methods, the Outlier Selection Technique and a morphological algorithm, and presenting lens models of a system, which could possibly be a lensed quasar in an unusual configuration. We conclude with the summary statistics of the Fall 2016 campaign. Including searches presented in companion papers (Anguita et al.; Ostrovski et al.), STRIDES followed up 117 targets identifying 7 new strongly lensed systems, and 7 nearly identical quasars (NIQs), which could be confirmed as lenses by the detection of the lens galaxy. 76 candidates were rejected and 27 remain otherwise inconclusive, for a success rate in the range 6-35\%. This rate is comparable to that of previous searches like SQLS even though the parent dataset of STRIDES is purely photometric and our selection of candidates cannot rely on spectroscopic information.

INDEED: Integrated differential expression and differential network analysis of omic data for biomarker discovery

Differential expression (DE) analysis is commonly used to identify biomarker candidates that have significant changes in their expression levels between distinct biological groups. One drawback of DE analysis is that it only considers the changes on single biomolecule level. Recently, differential network (DN) analysis has become popular due to its capability to measure the changes on biomolecular pair level. In DN analysis, network is typically built based on correlation and biomarker candidates are selected by investigating the network topology. However, correlation tends to generate over-complicated networks and the selection of biomarker candidates purely based on network topology ignores the changes on single biomolecule level. In this paper, we propose a novel approach, INDEED, that builds sparse differential network based on partial correlation and integrates DE and DN analyses for biomarker discovery. We applied this approach on real proteomic and glycomic data generated by liquid chromatography coupled with mass spectrometry for hepatocellular carcinoma (HCC) biomarker discovery study. For each omic data, we used one dataset to select biomarker candidates, built a disease classifier and evaluated the performance of the classifier on an independent dataset. The biomarker candidates, selected by INDEED, were more reproducible across independent datasets, and led to a higher classification accuracy in predicting HCC cases and cirrhotic controls compared with those selected by separate DE and DN analyses. INDEED also identified some candidates previously reported to be relevant to HCC, such as intercellular adhesion molecule 2 (ICAM2) and c4b-binding protein alpha chain (C4BPA), which were missed by both DE and DN analyses. In addition, we applied INDEED for survival time prediction based on transcriptomic data acquired by analysis of samples from breast cancer patients. We selected biomarker candidates and built a regression model for survival time prediction based on a gene expression dataset and patients’ survival records. We evaluated the performance of the regression model on an independent dataset. Compared with the biomarker candidates selected by DE and DN analyses, those selected through INDEED led to more accurate survival time prediction.

Los procesos de formación de futuros policías, ¿mejoran su salud mental? || Do processes for training future police officers improve their mental health?

Los dos procesos fundamentales para conseguir un cuerpo de policía eficaz son la selección y la formación de los candidatos a futuros policías. Desde un punto de vista psicológico, la formación que reciben los policías debe servir para conseguir trabajadores que incrementen su salud mental, de forma que puedan desempeñar la labor policial de manera más adecuada, beneficiándose no sólo ellos, sino la sociedad en su conjunto. Este trabajo trata de verificar si la formación que reciben los candidatos seleccionados para formarse previamente a ser seleccionados como policías, incrementa su salud mental. No existen trabajos previos al respecto, ya que desde la Psicología los trabajos se han centrado en verificar que los sujetos no posean problemas psicopatológicos, pero no en el efecto de la formación que se les imparte. Para llevar a cabo el estudio se contó con una muestra de 713 personas, que fueron seleccionadas para ingresar en una formación pre-policial destinada a poder ingresar con posterioridad en la policía peruana. Para medir su personalidad se utilizó la prueba SCL-90 de Derogatis, aplicando la misma antes de recibir la formación y tras terminar la misma (sólo se tuvieron en cuenta los datos de los sujetos que aprobaron el ingreso en la policía). Los resultados indican que el proceso formativo no produce cambios en las variables de personalidad que implican aspectos psicopatológicos importantes, pero sí en las asociadas con menor grado de psicopatología. Podemos decir, por tanto, que los futuros policías sufren un decremento de su salud mental, o un aumento de su psicopatología. Se discuten estos resultados y se enumeran las limitaciones del estudio, de cara a efectuar futuras investigaciones. Se recomienda crear sistemas de formación que incrementen la salud mental de los futuros policías

THE BOSS EMISSION-LINE LENS SURVEY. III. STRONG LENSING OF Lyα EMITTERS BY INDIVIDUAL GALAXIES

ABSTRACT We introduce the Baryon Oscillation Spectroscopic Survey (BOSS) Emission-Line Lens Survey GALaxy-Lyα EmitteR sYstems (BELLS GALLERY) Survey, which is a Hubble Space Telescope program to image a sample of galaxy-scale strong gravitational lens candidate systems with high-redshift Lyα emitters (LAEs) as the background sources. The goal of the BELLS GALLERY Survey is to illuminate dark substructures in galaxy-scale halos by exploiting the small-scale clumpiness of rest-frame far-UV emission in lensed LAEs, and to thereby constrain the slope and normalization of the substructure-mass function. In this paper, we describe in detail the spectroscopic strong-lens selection technique, which is based on methods adopted in the previous Sloan Lens ACS (SLACS) Survey, BELLS, and SLACS for the Masses Survey. We present the BELLS GALLERY sample of the 21 highest-quality galaxy–LAE candidates selected from galaxy spectra in the BOSS of the Sloan Digital Sky Survey III. These systems consist of massive galaxies at redshifts of approximately 0.5 strongly lensing LAEs at redshifts from 2–3. The compact nature of LAEs makes them an ideal probe of dark substructures, with a substructure-mass sensitivity that is unprecedented in other optical strong-lens samples. The magnification effect from lensing will also reveal the structure of LAEs below 100 pc scales, providing a detailed look at the sites of the most concentrated unobscured star formation in the universe. The source code used for candidate selection is available for download as a part of this release.

OPTICAL SPECTROSCOPIC OBSERVATIONS OF GAMMA-RAY BLAZAR CANDIDATES. IV. RESULTS OF THE 2014 FOLLOW-UP CAMPAIGN

The extragalactic gamma-ray sky is dominated by the emission arising from blazars, one of the most peculiar classes of radio-loud active galaxies. Since the launch of Fermi several methods were developed to search for blazars as potential counterparts of unidentified gamma-ray sources (UGSs). To confirm the nature of the selected candidates, optical spectroscopic observations are necessary. In 2013 we started a spectroscopic campaign to investigate gamma-ray blazar candidates selected according to different procedures. The main goals of our campaign are: 1) to confirm the nature of these candidates, and 2) whenever possible determine their redshifts. Optical spectroscopic observations will also permit us to verify the robustness of the proposed associations and check for the presence of possible source class contaminants to our counterpart selection. This paper reports the results of observations carried out in 2014 in the Northern hemisphere with Kitt Peak National Observatory (KPNO) and in the Southern hemisphere with the Southern Astrophysical Research (SOAR) telescopes. We also report three sources observed with the Magellan and Palomar telescopes. Our selection of blazar-like sources that could be potential counterparts of UGSs is based on their peculiar IR colors and on their combination with radio observations both at high and low frequencies (i.e., above and below ~ 1 GHz) in publicly available large radio surveys. We present the optical spectra of 27 objects. [....] We also report the case for WISE J173052.85-035247.2, candidate counterpart of the source 2FGL J1730.6-0353, which has no radio counterpart in the major radio surveys. We confirm that our selection of gamma-ray blazars candidates can successfully indentify low-energy counterparts to Fermi unassociated sources and allow us to discover new blazars.

Selection of AGN candidates in the GOODS-South Field through Spitzer/MIPS 24 μm variability

We present a study of galaxies showing mid-infrared variability in data taken in the deepest Spitzer/MIPS 24 $\mu$m surveys in the GOODS-South field. We divide the dataset in epochs and subepochs to study the long-term (months-years) and the short-term (days) variability. We use a $\chi^2$-statistics method to select AGN candidates with a probability $\leq$ 1% that the observed variability is due to statistical errors alone. We find 39 (1.7% of the parent sample) sources that show long-term variability and 55 (2.2% of the parent sample) showing short-term variability. That is, 0.03 sources $\times$ arcmin$^{-2}$ for both, long-term and short-term variable sources. After removing the expected number of false positives inherent to the method, the estimated percentages are 1.0% and 1.4% of the parent sample for the long-term and short-term respectively. We compare our candidates with AGN selected in the X-ray and radio bands, and AGN candidates selected by their IR emission. Approximately, 50% of the MIPS 24 $\mu$m variable sources would be identified as AGN with these other methods. Therefore, MIPS 24 $\mu$m variability is a new method to identify AGN candidates, possibly dust obscured and low luminosity AGN, that might be missed by other methods. However, the contribution of the MIPS 24 $\mu$m variable identified AGN to the general AGN population is small ($\leq$ 13%) in GOODS-South.

A deterrent to diversity: The conditional effect of electoral rules on the nomination of women candidates

Previous literature regarding the effects of electoral systems on candidate selection has implied a false dichotomy regarding proportional representation (PR) versus single member districts (SMD). This paper unpacks the category of proportional representation, and finds significant differences in the behavior of selectorates depending on their configuration of PR. Using both a natural experiment as well as an original data set comprised of 1095 party lists, I find that the type of proportional representation – i.e., whether or not the voters are allowed to pick a particular candidate from the party list – can have a significant effect on the number of women candidates selected to run for office. Further, I find that the strength of this effect depends on cultural gender norms; if a substantial segment of society believes that women are best in traditional roles, not as leaders, there is a significant, negative effect of the decisive intraparty preference vote on the nomination of women candidates.

Quasar candidate selection and photometric redshift estimation based on SDSS and UKIDSS data

We present a sample of 8498 quasars with both SDSS $ugriz$ optical and UKIDSS $YJHK$ near-IR photometric data. With this sample, we obtain the median colour-z relations based on 7400 quasars with magnitude uncertainties less than 0.1mag in all bands. By analyzing the quasar colours, we propose an empirical criterion in the $Y-K$ vs. $g-z$ colour-colour diagram to separate stars and quasars with redshift $z<4$, and two other criteria for selecting high-z quasars. Using the SDSS-UKIDSS colour-z relations, we estimate the photometric redshifts of 8498 SDSS-UKIDSS quasars, and find that 85.0% of them are consistent with the spectroscopic redshifts within $|\Delta z|<0.2$, which leads to a significant increase of the photometric redshift accuracy than that based on the SDSS colour-z relations only. We compare our colour selection criterion with a small UKIDSS/EDR quasar/star sample and a sample of 4671 variable sources in the SDSS Stripe 82 region with both SDSS and UKIDSS data, and find that they can be clearly divided into two classes (quasars and stars) by our criterion in the $Y-K$ vs. $g-z$ plot. We select 3834 quasar candidates from the variable sources with $g<20.5$ in Stripe 82, 826 of them being SDSS quasars and the rest without SDSS spectroscopy. We demonstrate that even at the same spectroscopy limit as SDSS, with our criterion we can at least partially recover the missing quasars with $z\sim2.7$ in SDSS. The SDSS identified quasars only take a small fraction (21.5%) of our quasar candidates selected from the variable sources in Stripe 82, indicating that a deeper spectroscopy is very promising in producing a larger sample of quasars than SDSS. The implications of our results to the future Chinese LAMOST quasar survey are also discussed.

Recrutamento e perfil dos candidatos e dos eleitos à Câmara dos Deputados nas eleições de 2006

Este artigo investiga o papel dos principais partidos políticos brasileiros no processo de seleção dos candidatos, bem como o perfil dos eleitos à Câmara dos Deputados nas eleições de 2006. Para isso as autoras sustentam que há uma relação entre a estrutura das organizações partidárias e o controle da representação político-partidária no Brasil. Concluem que existem diferenças entre o perfil dos candidatos selecionados pelas respectivas legendas, relacionadas com as diferenças em seus procedimentos de recrutamento. No entanto, tais diversidades são reduzidas após a escolha dos eleitores. As diferenças expressas nos perfis dos selecionados pelos partidos não se mantêm após o processo eleitoral, quando há uma tendência a um padrão mais uniforme entre os eleitos.

Ladies of the Right: An Interim Analysis of the A‐List

This article explores the recent reforms to candidate selection procedures in the Conservative Party. It focuses on the impact of the rule changes on the proportion of female candidates selected for winnable and target seats. It finds that the “A‐list” was highly effective, that marginality had no significant effects and that constituencies which selected using an open primary were less likely to select a woman as their candidate. This is used to argue that a lack of suitable women coming forward as candidates, rather than sexism in the party, is the major cause of the shortage of Conservative female MPs.

NOVEL METHOD FOR ASSESSMENT AND SELECTION OF TRAINEES FOR HIGHER SURGICAL TRAINING IN GENERAL SURGERY

The aim of the study was to select surgeons for a higher surgical training in general surgery programme at the Royal College of Surgeons in Ireland (RCSI) using an objective, transparent and fair assessment programme. Thirty-two individuals applied for higher surgical training in general surgery in Ireland in 2006. Sixteen applicants were short-listed for interview and further assessment. All applicants were required to report on their education performance at undergraduate level and their postgraduate professional development. Applicants were scored on their training record during basic surgical training, structures references, clinical experience, approved technical skills courses, validated logbook and consolidation sheet. Assessments of their research and academic surgery included, the award of a higher degree by thesis, and other surgically relevant degree's or diplomas that had been obtained through part-time studies and were awarded by educational establishments recognized by RCSI or the Irish Medical Council. Short-listed applicants completed validated objective assessment simulations of surgical skills, an interview and assessment of their suitability for a career in surgery. The nine individuals who were selected for higher surgical training in general surgery consistently scored higher than those candidates who were not, in post-graduate development (P < 0.001), surgical skills (P < 0.002), interview scores (P < 0.007) and suitability for a career in surgery (P < 0.002). All performance assessment elements except undergraduate education showed high internal reliability alpha = 0.89 and good statistical power (range 0.95-0.99). The statistical power of undergraduate education was 0.7. The objective assessment programme introduced by RCSI for selection of candidates for the programme in higher surgical training in general surgery reliably and consistently distinguished between candidates. Candidates selected for further training consistently outperformed those who were not in good concordance between measures. This common selection process for higher surgical training is now being rolled out for selection into higher surgical training across all surgical specialties in Ireland.

Selecting political candidates: A longitudinal study of assessment centre performance and political success in the 2005 UK General Election

There has been surprisingly little consideration of how the selection of political candidates compares with employee selection, or whether individual differences predict electoral success. This study describes the design and validation of an assessment centre [AC] for selecting prospective Parliamentary candidates for a main UK political party. A job analysis was conducted to identify the key competencies required by a Member of Parliament [MP] and the selection criteria for a standardised assessment process. Analysis of the first 415 participants revealed no differences on exercises or dimensions in performance between male and female candidates. For the 106 candidates selected to fight the May 2005 UK general election, critical thinking skills [CTA] and performance in a structured interview were significantly associated with the ‘percentage swing’ achieved by a candidate (r = .45, p &lt;.01; r = .31, p &lt;.01). CTA was also associated with ‘percentage votes’ (r = .26, p &lt;.01). These results are discussed in relation to the development of a theory of political performance.

Tuberculosis subunit vaccine design: The conflict of antigenicity and immunogenicity

The attempts to find an effective antituberculous subunit vaccine are based on the assumption that it must drive a Th1 response. In the absence of effective correlates of protection, a vast array of mycobacterial components are being evaluated worldwide either on the basis of their ability to be recognized by T lymphocytes in in vitro assays during early stage of animal or human infection (antigenicity) or their capacity to induce T cell response following immunization in animal models (immunogenicity). The putative vaccine candidates selected using either of these strategies are then subjected to challenge studies in different animal models to evaluate the protective efficacy. Here we review the outcome of this current scheme of selection of vaccine candidates using an ‘antigenicity’ or ‘immunogenicity’ criterion on the actual protective efficacy observed in experimental animal models. The possible implications for the success of some of the leading vaccine candidates in clinical trials will also be discussed.

The ROSAT-ESO flux limited X-ray (REFLEX) galaxy cluster survey. I. The construction of the cluster sample

We discuss the construction of an X-ray flux-limited sample of galaxy clusters, the REFLEX survey catalogue, to be used for cosmological studies. This cluster identification and redshift survey was conducted in the frame of an ESO key programme and is based on candidates selected from the southern part of the ROSAT All-Sky Survey (RASS). For the first cluster candidate selection from a flux-limited RASS source list, we make use of optical data from the COSMOS digital catalogue produced from the scans of the UK-Schmidt plates. To ensure homogeneity of the sample construction process, this selection is based only on this one well-defined optical data base. The nature of the candidates selected in this process is subsequently checked by a more detailed evaluation of the X-ray and optical source properties and available literature data. The final identification and the redshift is then based on optical spectroscopic follow-up observations. In this paper we document the process by which the primary cluster candidate catalogue is constructed prior to the optical follow-up observations. We describe the reanalysis of the RASS source catalogue which enables us to impose a proper flux limit cut to the X-ray source list without introducing a severe bias against extended sources. We discuss the correlation of the X-ray and optical (COSMOS) data to find galaxy density enhancements at the RASS X-ray source positions and the further evaluation of the nature of these cluster candidates. Based also on the results of the follow-up observations we provide a statistical analysis of the completeness and contamination of the final cluster sample and show results on the cluster number counts. The final sample of identified X-ray clusters reaches a flux limit of 3 10-12 erg s-1 cm-2 in the 0.1-2.4 keV band and comprises 452 clusters in an area of 4.24 ster. The results imply a completeness of the REFLEX cluster sample well in excess of 90% . We also derive for the first time an upper limit of less than 9% for the number of clusters which may feature a dominant contribution to the X-ray emission from AGN. This accuracy is sufficient for the use of this cluster sample for cosmological tests.