# J. Hardin

## Contact Details

NameJ. Hardin |
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## Pubs By Year |
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## Pub CategoriesNuclear Experiment (5) High Energy Physics - Experiment (4) Physics - Instrumentation and Detectors (4) Physics - Data Analysis; Statistics and Probability (2) Statistics - Methodology (2) Statistics - Theory (1) Statistics - Applications (1) Mathematics - Statistics (1) Quantitative Biology - Genomics (1) |

## Publications Authored By J. Hardin

**Authors:**GlueX Collaboration, H. Al Ghoul, E. G. Anassontzis, A. Austregesilo, F. Barbosa, A. Barnes, T. D. Beattie, D. W. Bennett, V. V. Berdnikov, T. Black, W. Boeglin, W. J. Briscoe, W. K. Brooks, B. E. Cannon, O. Chernyshov, E. Chudakov, V. Crede, M. M. Dalton, A. Deur, S. Dobbs, A. Dolgolenko, M. Dugger, R. Dzhygadlo, H. Egiyan, P. Eugenio, C. Fanelli, A. M. Foda, J. Frye, S. Furletov, L. Gan, A. Gasparian, A. Gerasimov, N. Gevorgyan, K. Goetzen, V. S. Goryachev, L. Guo, H. Hakobyan, J. Hardin, A. Henderson, G. M. Huber, D. G. Ireland, M. M. Ito, N. S. Jarvis, R. T. Jones, V. Kakoyan, M. Kamel, F. J. Klein, R. Kliemt, C. Kourkoumeli, S. Kuleshov, I. Kuznetsov, M. Lara, I. Larin, D. Lawrence, W. I. Levine, K. Livingston, G. J. Lolos, V. Lyubovitskij, D. Mack, P. T. Mattione, V. Matveev, M. McCaughan, M. McCracken, W. McGinley, J. McIntyre, R. Mendez, C. A. Meyer, R. Miskimen, R. E. Mitchell, F. Mokaya, K. Moriya, F. Nerling, G. Nigmatkulov, N. Ochoa, A. I. Ostrovidov, Z. Papandreou, M. Patsyuk, R. Pedroni, M. R. Pennington, L. Pentchev, K. J. Peters, E. Pooser, B. Pratt, Y. Qiang, J. Reinhold, B. G. Ritchie, L. Robison, D. Romanov, C. Salgado, R. A. Schumacher, C. Schwarz, J. Schwiening, A. Yu. Semenov, I. A. Semenova, K. K. Seth, M. R. Shepherd, E. S. Smith, D. I. Sober, A. Somov, S. Somov, O. Soto, N. Sparks, M. J. Staib, J. R. Stevens, I. I. Strakovsky, A. Subedi, V. Tarasov, S. Taylor, A. Teymurazyan, I. Tolstukhin, A. Tomaradze, A. Toro, A. Tsaris, G. Vasileiadis, I. Vega, N. K. Walford, D. Werthmuller, T. Whitlatch, M. Williams, E. Wolin, T. Xiao, J. Zarling, Z. Zhang, B. Zihlmann, V. Mathieu, J. Nys

**Category:**Nuclear Experiment

We report measurements of the photon beam asymmetry $\Sigma$ for the reactions $\vec{\gamma}p\to p\pi^0$ and $\vec{\gamma}p\to p\eta $ from the GlueX experiment using a 9 GeV linearly-polarized, tagged photon beam incident on a liquid hydrogen target in Jefferson Lab's Hall D. The asymmetries, measured as a function of the proton momentum transfer, possess greater precision than previous $\pi^0$ measurements and are the first $\eta$ measurements in this energy regime. The results are compared with theoretical predictions based on $t$-channel, quasi-particle exchange and constrain the axial-vector component of the neutral meson production mechanism in these models. Read More

RNA-Seq is a widely-used method for studying the behavior of genes under different biological conditions. An essential step in an RNA-Seq study is normalization, in which raw data are adjusted to account for factors that prevent direct comparison of expression measures. Errors in normalization can have a significant impact on downstream analysis, such as inflated false positives in differential expression analysis. Read More

FastDIRC is a novel fast Monte Carlo and reconstruction algorithm for DIRC detectors. A DIRC employs rectangular fused-silica bars both as Cherenkov radiators and as light guides. Cherenkov-photon imaging and time-of-propagation information are utilized by a DIRC to identify charged particles. Read More

The GlueX experiment was designed to search for and study the pattern of gluonic excitations in the meson spectrum produced through photoproduction reactions at a new tagged photon beam facility in Hall D at Jefferson Laboratory. The particle identification capabilities of the GlueX experiment will be enhanced by constructing a DIRC (Detection of Internally Reflected Cherenkov light) detector, utilizing components of the decommissioned BaBar DIRC. The DIRC will allow systematic studies of kaon final states that are essential for inferring the quark flavor content of both hybrid and conventional mesons. Read More

The call for using real data in the classroom has long meant using datasets which are culled, cleaned, and wrangled prior to any student working with the observations. However, an important part of teaching statistics should include actually retrieving data. Nowadays, there are many different sources of data that are continually updated by the organization hosting the data website. Read More

**Authors:**The GlueX Collaboration, H. Al Ghoul, E. G. Anassontzis, F. Barbosa, A. Barnes, T. D. Beattie, D. W. Bennett, V. V. Berdnikov, T. Black, W. Boeglin, W. K. Brooks, B. Cannon, O. Chernyshov, E. Chudakov, V. Crede, M. M. Dalton, A. Deur, S. Dobbs, A. Dolgolenko, M. Dugger, H. Egiyan, P. Eugenio, A. M. Foda, J. Frye, S. Furletov, L. Gan, A. Gasparian, A. Gerasimov, N. Gevorgyan, V. S. Goryachev, B. Guegan, L. Guo, H. Hakobyan, H. Hakobyan2, J. Hardin, G. M. Huber, D. Ireland, M. M. Ito, N. S. Jarvis, R. T. Jones, V. Kakoyan, M. Kamel, F. J. Klein, C. Kourkoumeli, S. Kuleshov, M. Lara, I. Larin, D. Lawrence, J. Leckey, W. I. Levine, K. Livingston, G. J. Lolos, D. Mack, P. T. Mattione, V. Matveev, M. McCaughan, W. McGinley, J. McIntyre, R. Mendez, C. A. Meyer, R. Miskimen, R. E. Mitchell, F. Mokaya, K. Moriya, G. Nigmatkulov, N. Ochoa, A. I. Ostrovidov, Z. Papandreou, R. Pedroni, M. Pennington, L. Pentchev, A. Ponosov, E. Pooser, B. Pratt, Y. Qiang, J. Reinhold, B. G. Ritchie, L. Robison, D. Romanov, C. Salgado, R. A. Schumacher, A. Yu. Semenov, I. A. Semenova, I. Senderovich, K. K. Seth, M. R. Shepherd, E. S. Smith, D. I. Sober, A. Somov, S. Somov, O. Soto, N. Sparks, M. J. Staib, J. R. Stevens, A. Subedi, V. Tarasov, S. Taylor, I. Tolstukhin, A. Tomaradze, A. Toro, A. Tsaris, G. Vasileiadis, I. Vega, G. Voulgaris, N. K. Walford, T. Whitlatch, M. Williams, E. Wolin, T. Xiao, J. Zarling, B. Zihlmann

The GlueX experiment at Jefferson Lab ran with its first commissioning beam in late 2014 and the spring of 2015. Data were collected on both plastic and liquid hydrogen targets, and much of the detector has been commissioned. All of the detector systems are now performing at or near design specifications and events are being fully reconstructed, including exclusive production of $\pi^{0}$, $\eta$ and $\omega$ mesons. Read More

Model complexity in amplitude analyses is often a priori under-constrained since the underlying theory permits a large number of possible amplitudes to contribute to most physical processes. The use of an overly complex model results in reduced predictive power and worse resolution on unknown parameters of interest. Therefore, it is common to reduce the complexity by removing from consideration some subset of the allowed amplitudes. Read More

Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms the most highly correlated possible pairs of linear combinations between them. Each subsequent pair of linear combinations is orthogonal to the preceding pair, meaning that new information is gleaned from each pair. By looking at the magnitude of coefficient values, we can find out which variables can be grouped together, thus better understanding multiple interactions that are otherwise difficult to compute or grasp intuitively. Read More

As high-throughput sequencing has become common practice, the cost of sequencing large amounts of genetic data has been drastically reduced, leading to much larger data sets for analysis. One important task is to identify biological conditions that lead to unusually high or low expression of a particular gene. Packages such as DESeq implement a simple method for testing differential signal when exactly two biological conditions are possible. Read More

A growing number of students are completing undergraduate degrees in statistics and entering the workforce as data analysts. In these positions, they are expected to understand how to utilize databases and other data warehouses, scrape data from Internet sources, program solutions to complex problems in multiple languages, and think algorithmically as well as statistically. These data science topics have not traditionally been a major component of undergraduate programs in statistics. Read More

**Category:**

We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Read More

**Authors:**The GlueX Collaboration, M. Dugger, B. Ritchie, I. Senderovich, E. Anassontzis, P. Ioannou, C. Kourkoumeli, G. Vasileiadis, G. Voulgaris, N. Jarvis, W. Levine, P. Mattione, W. McGinley, C. A. Meyer, R. Schumacher, M. Staib, F. Klein, D. Sober, N. Sparks, N. Walford, D. Doughty, A. Barnes, R. Jones, J. McIntyre, F. Mokaya, B. Pratt, W. Boeglin, L. Guo, E. Pooser, J. Reinhold, H. Al Ghoul, V. Crede, P. Eugenio, A. Ostrovidov, A. Tsaris, D. Ireland, K. Livingston, D. Bennett, J. Bennett, J. Frye, M. Lara, J. Leckey, R. Mitchell, K. Moriya, M. R. Shepherd, O. Chernyshov, A. Dolgolenko, A. Gerasimov, V. Goryachev, I. Larin, V. Matveev, V. Tarasov, F. Barbosa, E. Chudakov, M. Dalton, A. Deur, J. Dudek, H. Egiyan, S. Furletov, M. Ito, D. Mack, D. Lawrence, M. McCaughan, M. Pennington, L. Pentchev, Y. Qiang, E. Smith, A. Somov, S. Taylor, T. Whitlatch, B. Zihlmann, R. Miskimen, B. Guegan, J. Hardin, J. Stevens, M. Williams, V. Berdnikov, G. Nigmatkulov, A. Ponosov, D. Romanov, S. Somov, I. Tolstukhin, C. Salgado, P. Ambrozewicz, A. Gasparian, R. Pedroni, T. Black, L. Gan, S. Dobbs, K. Seth, X. Ting, A. Tomaradze, T. Beattie, G. Huber, G. Lolos, Z. Papandreou, A. Semenov, I. Semenova, W. Brooks, H. Hakobyan, S. Kuleshov, O. Soto, A. Toro, I. Vega, N. Gevorgyan, H. Hakobyan, V. Kakoyan

We propose to enhance the kaon identification capabilities of the GlueX detector by constructing an FDIRC (Focusing Detection of Internally Reflected Cherenkov) detector utilizing the decommissioned BaBar DIRC components. The GlueX FDIRC would significantly enhance the GlueX physics program by allowing one to search for and study hybrid mesons decaying into kaon final states. Such systematic studies of kaon final states are essential for inferring the quark flavor content of hybrid and conventional mesons. Read More

**Authors:**The GlueX Collaboration, A. AlekSejevs, S. Barkanova, M. Dugger, B. Ritchie, I. Senderovich, E. Anassontzis, P. Ioannou, C. Kourkoumeli, G. Voulgaris, N. Jarvis, W. Levine, P. Mattione, W. McGinley, C. A. Meyer, R. Schumacher, M. Staib, P. Collins, F. Klein, D. Sober, D. Doughty, A. Barnes, R. Jones, J. McIntyre, F. Mokaya, B. Pratt, W. Boeglin, L. Guo, P. Khetarpal, E. Pooser, J. Reinhold, H. Al Ghoul, S. Capstick, V. Crede, P. Eugenio, A. Ostrovidov, N. Sparks, A. Tsaris, D. Ireland, K. Livingston, D. Bennett, J. Bennett, J. Frye, M. Lara, J. Leckey, R. Mitchell, K. Moriya, M. R. Shepherd, A. Szczepaniak, R. Miskimen, A. Mushkarenkov, B. Guegan, J. Hardin, J. Stevens, M. Williams, A. Ponosov, S. Somov, C. Salgado, P. Ambrozewicz, A. Gasparian, R. Pedroni, T. Black, L. Gan, S. Dobbs, K. K. Seth, A. Tomaradze, J. Dudek, F. Close, E. Swanson, S. Denisov, G. Huber, D. Kolybaba, S. Krueger, G. Lolos, Z. Papandreou, A. Semenov, I. Semenova, M. Tahani, W. Brooks, H. Hakobyan, S. Kuleshov, O. Soto, A. Toro, I. Vega, R. White, F. Barbosa, E. Chudakov, H. Egiyan, M. Ito, D. Lawrence, M. McCaughan, M. Pennington, L. Pentchev, Y. Qiang, E. S. Smith, A. Somov, S. Taylor, T. Whitlatch, E. Wolin, B. Zihlmann

**Category:**Nuclear Experiment

The primary motivation of the GlueX experiment is to search for and ultimately study the pattern of gluonic excitations in the meson spectrum produced in $\gamma p$ collisions. Recent lattice QCD calculations predict a rich spectrum of hybrid mesons that have both exotic and non-exotic $J^{PC}$, corresponding to $q\bar{q}$ states ($q=u,$ $d,$ or $s$) coupled with a gluonic field. A thorough study of the hybrid spectrum, including the identification of the isovector triplet, with charges 0 and $\pm1$, and both isoscalar members, $|s\bar{s}\ >$ and $|u\bar{u}\ > + |d\bar{d}\ >$, for each predicted hybrid combination of $J^{PC}$, may only be achieved by conducting a systematic amplitude analysis of many different hadronic final states. Read More

Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generating random uniform $[-1,1]$ deviates as pairwise correlations both have drawbacks. We develop an algorithm for adding noise, in a highly controlled manner, to general correlation matrices. Read More