Molecular hydrogen from z = 0.0963 DLA towards the QSO J1619+3342

We report the detection of H2 in a zabs= 0.0963 Damped Lyman-{\alpha} (DLA) system towards zem = 0.4716 QSO J1619+3342. This DLA has log N(H I) = 20.55 (0.10), 18.13 < log N(H2) < 18.40, [S/H] = -0.62 (0.13), [Fe/S] = -1.00 (0.17) and the molecular fraction -2.11 < log f(H2) < -1.85. The inferred gas kinetic temperature using the rotational level population is in the range 95 - 132 K. We do not detect C I or C II* absorption from this system. Using R- and V-band deep images we identify a sub-L* galaxy at an impact parameter of 14 kpc from the line of sight, having consistent photometric redshift, as a possible host for the absorber. We use the photoionization code CLOUDY to get the physical conditions in the H2 component using the observational constrains from H2, C I, C II* and Mg I. All the observations can be consistently explained if one or more of the following is true: (i) Carbon is underabundant by more than 0.6 dex as seen in halo stars with Z ~ 0.1 Z_sun, (ii) H I associated with H2 component is less than 50% of the H I measured along the line of sight and (iii) the H2 formation rate on the dust grains is at least a factor two higher than what is typically used in analytic calculations for Milky Way interstellar medium. Even when these are satisfied, the gas kinetic temperature in the models are much lower than what is inferred from the ortho-to-para ratio of the molecular hydrogen. Alternatively the high kinetic temperature could be a consequence of contribution to the gas heating from non-radiative heating processes seen in hydrodynamical simulations.Comment: 10 pages, 4 figues, resubmitted to the MNRAS after minor revision suggested by the refere

A statistical study of the luminosity gap in galaxy groups

The luminosity gap between the two brightest members of galaxy groups and clusters is thought to offer a strong test for the models of galaxy formation and evolution. This study focuses on the statistics of the luminosity gap in galaxy groups, in particular fossil groups, e.g. large luminosity gap, in an analogy with the same in a cosmological simulation. We use spectroscopic legacy data of seventh data release (DR7) of SDSS, to extract a volume limited sample of galaxy groups utilizing modified friends-of-friends (mFoF) algorithm. Attention is paid to galaxy groups with the brightest group galaxy (BGG) more luminous than \Mr = -22. An initial sample of 620 groups in which 109 optical fossil groups, where the luminosity gap exceeds 2 magnitude, were identified. We compare the statistics of the luminosity gap in galaxy groups at low mass range from the SDSS with the same in the Millennium simulations where galaxies are modeled semi-analytically. We show that the BGGs residing in galaxy groups with large luminosity gap, i.e. fossil groups, are on average brighter and live in lower mass halos with respect to their counter parts in non-fossil systems. Although low mass galaxy groups are thought to have recently formed, we show that in galaxy groups with 15 galaxies brighter than $M_r\ge -19.5$, evolutionary process are most likely to be responsible for the large luminosity gap. We also examine a new probe of finding fossil group. In addition we extend the recently introduced observational probe based on the luminosity gap, the butterfly diagram, to galaxy groups and study the probe as a function of halo mass. This probe can, in conjunction with the luminosity function, help to fine tune the semi-analytic models of galaxies employed in the cosmological simulations.Comment: 11 pages, 11 figures, accepted to PASP journa

Sparsity-Based Error Detection in DC Power Flow State Estimation

This paper presents a new approach for identifying the measurement error in the DC power flow state estimation problem. The proposed algorithm exploits the singularity of the impedance matrix and the sparsity of the error vector by posing the DC power flow problem as a sparse vector recovery problem that leverages the structure of the power system and uses $l_1$-norm minimization for state estimation. This approach can provably compute the measurement errors exactly, and its performance is robust to the arbitrary magnitudes of the measurement errors. Hence, the proposed approach can detect the noisy elements if the measurements are contaminated with additive white Gaussian noise plus sparse noise with large magnitude. The effectiveness of the proposed sparsity-based decomposition-DC power flow approach is demonstrated on the IEEE 118-bus and 300-bus test systems

Analisis pengukuran kinerja organisasi Nirlaba dengan metode Balanced Scorecard: Studi pada Universitas Islam Negeri Maulana Malik Ibrahim Malang

ABSTRAK Pengukuran kinerja merupakan salah satu factor yang penting dalam perusahaan yaitu untuk menilai keberhasilan perusahaan. Kinerja perusahaan merupakan sesuatu yang dihasilkan perusahaan dalam periode tertentu dengan mengacu kepada standar yang ditetapkan oleh perusahaan tersebut. Kinerja perusahaan hendaknya merupakan hasil yang dapat diukur yang menggambarkan keadaan perusahaan yang sebenarnya. Pada awalnya balanced scorecard digunakan oleh organisasi laba atau perusahaan, tetapi pada perkembangannya balanced scorecard juga digunakan pada organisasi nirlaba. Tentu saja perubahan-perubahan ini membutuhkan penyesuaian dari konsep asli balanced scorecard. Pada organisasi laba perspektif finansial merupakan tujuan akhir, sedang pada organisasi nirlaba kepuasan pelanggan merupakan tujuan akhir. Maka balanced scorecard yang hendak diaplikasikan harus disesuaikan dengan karakteristik organisasi nirlaba tersebut. Metode penelitian yang digunakan adalah time series analysis untuk mengetahui kinerja perusahaan. Perbandingan antara hasil tolak ukur yang dicapai saat ini dengan masa sebelumnya akan memperlihatkan apakah organisasi mengalami kemajuan atau kemunduran dan perkembangan organisasi akan dapat dilihat pada tren dari tahun ke tahun Hasil pengukuran kinerja Universitas Islam Negeri Maulana Malik Ibrahim Malang dengan metode balanced scorecard kinerja organisasi dikatakan baik. Dilihat dari perspektif keuangan baik dilihat dari universitas ini berpeluang mendapatkan dana dari Islamic development bank (IBD), kinerja dari perspektif pelanggan melalui kepuasan mahasiswa yang terlihat dari mahasiswa puas akan kinerja dosen. Perspektif proses bisnis internal juga cukup baik dilihat dengan semakin banyaknya kualifikasi dosen dengan pendidikan doktor dan perspektif pembelajaran dan pertumbuhan juga baik dengan rendahnya retensi pegawai. ABSTRACT Performance measurement is one important factor in the company used to assess the company’s success. Company's performance is something the company has produced in a given period by reference to the standards set by the company. Company's performance should be measurable results that describe the actual state of the company. Balanced scorecard was originally used by the organization or company's profits, but the balanced scorecard development is also used in non-profit organization. Of course, these changes will require adjustments from the original concept of balanced scorecard. At profit organizations, financial perspective is the ultimate goal, while of a non-profit organizations customer satisfaction is the ultimate goal. So, balanced scorecard applied should be adjusted to the characteristics of these nonprofit organizations. The research method used in this study is time series analysis to determine the company's performance. Comparisons between the results achieved as benchmark current and those at the previous period will show whether the organization's progress or decline and organizational development will be seen in trends from year to year. The result of performance measurement at Maulana Ibrahim Malik State Islamic University of Malang with balanced scorecard method of performance of both organizations is good. Viewed from the financial perspective the university likely to gain funding from the Islamic Development Bank (IBD). The performance from the perspective of the customer through the student satisfaction shows that the students seemed satisfied with the performance of lecturers. Internal business process perspective is also quite good seen as more qualified faculty with doctoral education. The learning and growth perspective are also good with the low retention of employees

Pengaruh Model Pembelajaran Kooperatif The Power of Two terhadap Kemampuan Komunikasi Matematis Siswa SMP

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran kooperatif tipe&nbsp; the power of two terhadap kemampuan komunikasi matematis siswa SMP. Penelitian ini dilakukan di SMP Pariskian. Metode yang digunakan dalam penelitian ini adalah quasi eksperimen. Teknik sampel yang digunakan yaitu cluster random sampling. Teknik pengumpulan data yaitu tes kemampuan komunikasi matematis. Hasil penelitian menunjukkan bahwa (1) Pencapaian akhir kemampuan komunikasi matematis siswa yang mendapatkan model pembelajaran the power of two lebih tinggi daripada siswa yang mendapatkan model pembelajaran ekspositori; (2) Peningkatan kemampuan komunikasi matematis&nbsp; siswa yang mendapatkan model pembelajaran the power of two, lebih tinggi siswa yang mendapatkan daripada siswa yang mendapatkan model pembelajaran ekspositori

Pengaruh Model Pembelajaran Kooperatif Think Talk Write terhadap Pemahaman Konsep Matematika Siswa SMP

Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran kooperatif tipe&nbsp; think talk write terhadap kemampuan pemahaman konsep matematis siswa SMP. Penelitian ini dilakukan di SMP Negeri 1 Kragilan. Metode yang digunakan dalam penelitian ini adalah quasi eksperimen. Teknik pengumpulan data yaitu tes pemahaman konsep matematika. Hasil penelitian menunjukkan bahwa (1) Pencapaian akhir kemampuan pemahaman konsep matematika siswa yang mendapatkan model pembelajaran think talk write lebih tinggi daripada siswa yang mendapatkan model pembelajaran ekspositori; (2) Peningkatan kemampuan pemahaman konsep matematika&nbsp; siswa yang mendapatkan model pembelajaran think talk write, lebih tinggi siswa yang mendapatkan daripada siswa yang mendapatkan model pembelajaran ekspositori

A SINFONI Integral Field Spectroscopy Survey for Galaxy Counterparts to Damped Lyman-alpha Systems - VI. Metallicity and Geometry as Gas Flow Probes

The use of background quasars provides a powerful tool to probe the cool gas in the circum-galactic medium of foreground galaxies. Here, we present new observations with SINFONI and X-Shooter of absorbing-galaxy candidates at z=0.7-1. We report the detection with both instruments of the H-alpha emission line of one sub-DLA at z_abs=0.94187 with log N(HI)=19.38^+0.10_-0.15 towards SDSS J002133.27+004300.9. We estimate the star formation rate: SFR=3.6+/-2.2 solar masses per year in that system. A detailed kinematic study indicates a dynamical mass M_dyn=10^9.9+/-0.4 solar masses and a halo mass M_halo=10^11.9+/-0.5 solar masses. In addition, we report the OII detection with X-Shooter of another DLA at z_abs=0.7402 with log N(HI)=20.4+/-0.1 toward Q0052+0041 and an estimated SFR of 5.3+/-0.7 solar masses per year. Three other objects are detected in the continuum with X-Shooter but the nature and redshift of two of these objects are unconstrained due to the absence of emission lines, while the third object might be at the redshift of the quasar. We use the objects detected in our whole N(HI)-selected SINFONI survey to compute the metallicity difference between the galaxy and the absorbing gas, delta_HI(X), where a positive (negative) value indicates infall (outflow). We compare this quantity with the quasar line of sight alignment with the galaxy's major (minor) axis, another tracer of infall (outflow). We find that these quantities do not correlate as expected from simple assumptions. Additional observations are necessary to relate these two independent probes of gas flows around galaxies.Comment: 16 pages, 8 figures, accepted for publication in MNRA

GNN-based physics solver for time-independent PDEs

Physics-based deep learning frameworks have shown to be effective in accurately modeling the dynamics of complex physical systems with generalization capability across problem inputs. However, time-independent problems pose the challenge of requiring long-range exchange of information across the computational domain for obtaining accurate predictions. In the context of graph neural networks (GNNs), this calls for deeper networks, which, in turn, may compromise or slow down the training process. In this work, we present two GNN architectures to overcome this challenge - the Edge Augmented GNN and the Multi-GNN. We show that both these networks perform significantly better (by a factor of 1.5 to 2) than baseline methods when applied to time-independent solid mechanics problems. Furthermore, the proposed architectures generalize well to unseen domains, boundary conditions, and materials. Here, the treatment of variable domains is facilitated by a novel coordinate transformation that enables rotation and translation invariance. By broadening the range of problems that neural operators based on graph neural networks can tackle, this paper provides the groundwork for their application to complex scientific and industrial settings.Comment: 12 pages, 2 figure