BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Missouri State University/Calendar of Events//EN CALSCALE:GREGORIAN X-WR-TIMEZONE:America/Chicago BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU TZNAME:CDT END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:9a90cce0-fa51-43f9-9a7d-364175053f70.220504@calendar.missouristate.edu CREATED:20220420T135629Z LAST-MODIFIED:20220420T135629Z LOCATION: SUMMARY:PAMS Seminar: "Identifying Large-scale Structures Using Dust-obscu red Galaxies (DOGs) as Signposts 9-10 Billion Light-years Away" by Ripon Saha DESCRIPTION:Ripon SahaDepartment of Physics & AstronomyUniversity of Misso uri-Kansas City\n\n\nMr. Saha is a PhD student at UMKC.\n\n\nNote! This s eminar has been moved to Zoom. See the PAMS Seminar page for link.\n\n\nA bstract:Galaxy clusters are the most massive collapsed structures in the universe. During cluster formation\, the largest aggregation of gas\, gal axies\, and dark matter passes through an intermediate phase called the p rotocluster. Over the past decades\, many studies have identified distant clusters and protoclusters due to advanced observational strategies. How ever\, the protocluster-to-cluster transformation is still unclear\, main ly due to the lack of large samples of early-stage clusters and late-stag e protoclusters. Our research has identified a large selection of nearly 300 galaxy cluster candidates at redshift 1.3 < z < 1.8 (9-10 billion lig ht-years away) during the formation epoch of the galaxy clusters. The can didates are identified using a sample of Ultra-Luminous Infrared Galaxies called the Dust-Obscured Galaxies (DOGs) as signposts in the Spitzer Dee p Wide-Field Survey (SDWFS) in Boötes. A two-point correlation function a nalysis demonstrates that the sample has a mass scale of the galaxy clust ers. Using a more multi-wavelength SDWFS catalog\, this study has also un covered a supercluster structure at z = 1.75 (10 billion light-years away ). This supercluster is a bound structure hosting dozens of clusters of g alaxies\, including the most massive galaxy cluster (IDCS J1426.5+3508) f ound to date at z > 1.5. Finally\, we develop and implement a novel machi ne learning technique to determine the photometric redshift (photo-z) of the distant galaxies using a TensorFlow-based deep learning network. The results will ultimately be used by a cluster-search project called the Ma ssive and Distant Clusters of WISE Survey-II (MaDCoWS-II). X-ALT-DESC;FMTTYPE=text/html:<html><head><title></title></head><body><p><b >Ripon Saha<br></b><strong>Department of Physics &amp\; Astronomy<br></st rong><strong>University of Missouri-Kansas City</strong><strong><br></str ong></p>\n<p><strong>Mr. Saha is a PhD student at UMKC.</strong></p>\n<p> <strong>Note! This seminar has been moved to Zoom. See the&nbsp\;<a href= "https://missouristate.zoom.us/j/95525091021">PAMS Seminar page</a>&nbsp\ ;for link.</strong></p>\n<p><strong></strong>Abstract:<br>Galaxy clusters are the most massive collapsed structures in the universe. During cluste r formation\, the largest aggregation of gas\, galaxies\, and dark matter passes through an intermediate phase called the protocluster. Over the p ast decades\, many studies have identified distant clusters and protoclus ters due to advanced observational strategies. However\, the protocluster -to-cluster transformation is still unclear\, mainly due to the lack of l arge samples of early-stage clusters and late-stage protoclusters. Our re search has identified a large selection of nearly 300 galaxy cluster cand idates at redshift 1.3 &lt\; z &lt\; 1.8 (9-10 billion light-years away) during the formation epoch of the galaxy clusters. The candidates are ide ntified using a sample of Ultra-Luminous Infrared Galaxies called the Dus t-Obscured Galaxies (DOGs) as signposts in the Spitzer Deep Wide-Field Su rvey (SDWFS) in Boötes. A two-point correlation function analysis demonst rates that the sample has a mass scale of the galaxy clusters. Using a mo re multi-wavelength SDWFS catalog\, this study has also uncovered a super cluster structure at z = 1.75 (10 billion light-years away). This supercl uster is a bound structure hosting dozens of clusters of galaxies\, inclu ding the most massive galaxy cluster (IDCS J1426.5+3508) found to date at z &gt\; 1.5. Finally\, we develop and implement a novel machine learning technique to determine the photometric redshift (photo-z) of the distant galaxies using a TensorFlow-based deep learning network. The results wil l ultimately be used by a cluster-search project called the Massive and D istant Clusters of WISE Survey-II (MaDCoWS-II).</p></body></html> DTSTART;TZID=America/Chicago:20220421T160000 DTEND;TZID=America/Chicago:20220421T170000 SEQUENCE:1 URL:https://physics.missouristate.edu/seminars.htm CATEGORIES:Public,Alumni,Current Students,Faculty,Future Students,Staff END:VEVENT END:VCALENDAR