Newform data - 15.10.a.b

Formats: - HTML - YAML - JSON - 2024-05-01T00:05:26.388499

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  conrey_indexes	integer[]
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 1500, 'analytic_conductor': 7.725537542458097, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, 1]], 'atkin_lehner_string': '++', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [15, 1, [11, 7], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-22, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599795142671, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '15.10.a.b', 'level': 15, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'minimal_twist': '15.10.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+22q^{2}-3^{4}q^{3}-28q^{4}-5^{4}q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '9.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '15.10.a', 'trace_display': [22, -81, -625, -5988], 'trace_hash': 1478713436911186574, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.946', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.813', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4.385', 'prec': 17}], 'trace_zratio': 0, 'traces': [1, 22, -81, -28, -625, -1782, -5988, -11880, 6561, -13750, -14648, 2268, 37906, -131736, 50625, -247024, -441098, 144342, 441820, 17500, 485028, -322256, 2264136, 962280, 390625, 833932, -531441, 167664, -1049350, 1113750, -7910568, 648032, 1186488, -9704156, 3742500, -183708, -20992558, 9720040, -3070386, 7425000, 13285562, 10670616, -23130764, 410144, -4100625, 49810992, -13873688, 20008944, -4497463, 8593750, 35728938, -1061368, -57635174, -11691702, 9155000, 71137440, -35787420, -23085700, -32042120, -1417500, 110664022, -174032496, -39287268, 140732992, -23691250, 26102736, -118568268, 12350744, -183395016, 82335000, 276679712, -77944680, -264023294, -461836276, -31640625, -12370960, 87712224, -67548492, 448202760, 154390000, 43046721, 292282364, 851015796, -13580784, 275686250, -508876808, 84997350, 174018240, 189894930, -90213750, -226981128, -63395808, 640756008, -305221136, -276137500, -52490592, -1014149278, -98944186, -96105528, -10937500, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1], [22], [-81], [-28], [-625], [-1782], [-5988], [-11880], [6561], [-13750], [-14648], [2268], [37906], [-131736], [50625], [-247024], [-441098], [144342], [441820], [17500], [485028], [-322256], [2264136], [962280], [390625], [833932], [-531441], [167664], [-1049350], [1113750], [-7910568], [648032], [1186488], [-9704156], [3742500], [-183708], [-20992558], [9720040], [-3070386], [7425000], [13285562], [10670616], [-23130764], [410144], [-4100625], [49810992], [-13873688], [20008944], [-4497463], [8593750], [35728938], [-1061368], [-57635174], [-11691702], [9155000], [71137440], [-35787420], [-23085700], [-32042120], [-1417500], [110664022], [-174032496], [-39287268], [140732992], [-23691250], [26102736], [-118568268], [12350744], [-183395016], [82335000], [276679712], [-77944680], [-264023294], [-461836276], [-31640625], [-12370960], [87712224], [-67548492], [448202760], [154390000], [43046721], [292282364], [851015796], [-13580784], [275686250], [-508876808], [84997350], [174018240], [189894930], [-90213750], [-226981128], [-63395808], [640756008], [-305221136], [-276137500], [-52490592], [-1014149278], [-98944186], [-96105528], [-10937500]], 'ap': [[22], [-81], [-625], [-5988], [-14648], [37906], [-441098], [441820], [2264136], [-1049350], [-7910568], [-20992558], [13285562], [-23130764], [-13873688], [-57635174], [-32042120], [110664022], [-118568268], [276679712], [-264023294], [448202760], [851015796], [189894930], [-1014149278], [-1315368558], [-1827972724], [185367372], [1978689590], [1578746686], [2400005332], [-1968395208], [-2029094538], [-1136729140], [-4738537510], [2262162472], [-11788859278], [11460793796], [-13370656008], [10626363186], [26125435120], [2346889262], [22406421032], [-36595949974], [-5415455718], [262713880], [13449310292], [-26646265564], [33631791932], [50045292150], [-32962559874], [-7954217240], [-75247743998], [-98463127008], [8523991422], [5906543816], [-71596101350], [-124754651888], [112824180402], [87020807922], [3276964236], [-149860164294], [-184569910148], [90464979072], [10793038946], [41831934962], [-12330976908], [-21797581958], [-84361290188], [-1232948810], [173387723766], [63815917320], [112241606052], [721003873546], [-204331000340], [-547180000584], [-346262180070], [256757692282], [20167945242], [-43340521510], [510680461160], [321228183382], [447617411472], [-141185768294], [-850497697160], [303187912836], [-1403278417670], [335353598362], [1042749631842], [-974083754244], [-197850678508], [-908731105320], [1169629218932], [-2491486068688], [-557571087620], [1801366855856], [-2401096873670], [1030077035282], [1066369079836], [2517486023382], [-1103529331028], [-1090720039758], [1030805225676], [-4066175272590], [986144387492], [-2869473138238], [1141694898732], [-2971762606354], [1772617523720], [1258381908842], [174534604492], [4630369457746], [2505177639342], [544227615740], [-6519747334448], [-3362965780158], [1180819220676], [6631762482592], [825189215186], [-440214037640], [9777884642542], [4225910364186], [-7569770190918], [-1920285453924], [-3998388906788], [11273616080282], [11267900052070], [-9052470846240], [1344083568692], [657401165786], [2155870422700], [-7735942623584], [-11244801937688], [-11854438840718], [-2247651763758], [-14450525662270], [5190224051466], [-13993847295788], [20126878481762], [-8957747618710], [-1764457434948], [14808178742322], [-3396507315724], [18834421634452], [11894665629990], [-12288146871880], [-4613545257054], [-4293628278338], [-6404282426420], [-3244207905184], [28971147004722], [7504473544522], [28714133607236], [9998251603512], [4708461943572], [26966252086912], [-3966177723440], [19691225561210], [-21130483382598], [5410718200082], [3442590745932], [-4184403332234], [14980025803772], [-28246046905488], [-46224186526778], [48036293325216], [23121091830512], [-13536183450678]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 4503599795142671, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '15.10.a.b', 'level': 15, 'maxp': 997, 'weight': 10}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'AL_dims': [[[[3, -1], [5, -1]], 1, 1], [[[3, 1], [5, 1]], 1, 1], [[[3, 1], [5, -1]], 2, 1], [[[3, -1], [5, 1]], 2, 1]], 'ALdims': [1, 2, 2, 1], 'Nk2': 1500, 'analytic_conductor': 7.725537542458097, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [15, 1, [11, 7], [1, 1]], 'conrey_index': 1, 'cusp_dim': 16, 'dim': 6, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 167772175, 'hecke_orbit_dims': [1, 1, 2, 2], 'label': '15.10.a', 'level': 15, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 5], 'level_radical': 15, 'mf_dim': 20, 'mf_new_dim': 6, 'num_forms': 4, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 6, 'sturm_bound': 20, 'trace_bound': 2, 'trace_display': [68, 0, 0, -11428], 'traces': [6, 68, 0, 1538, 0, -3078, -11428, 67932, 39366, -8750, -87076, 41472, 55888, 115452, -101250, 1085330, -420520, 446148, 658912, -905000, -2241756, -7156540, 3122496, 3193506, 2343750, -5892868, 0, 3780524, -6996536, -1620000, -4504264, 17859412, -1195236, 5709836, 15182500, 10090818, 25085112, -2385976, -5547852, -4751250, 24274636, -44096724, -4089728, -102869396, 0, -90064944, 51128264, 65192688, 84594310, 26562500, 62822628, -52677360, -114062224, -20194758, -80472500, -68883420, -2667816, -205991852, 180942428, -130916250, 479495740, -31830936, -74979108, 464210442, -192047500, -57426084, -484354360, 717440536, 5244912, 543322500, 83143192, 445701852, -591042044, -773558108, 0, -849378912, 72064224, 265485600, -274527880, 103030000, 258280326, 1526220184, 804884184, -1559325492, -192897500, -752029576, 37145628, -2168339028, -329760348, -57408750, -871611944, -2807106528, -830087352, 3271510568, 363665000, 2378839914, 1387556460, 5935831732, -571305636, 600781250, -1606497336, 1107505224, -719377428, 39783972, -805342500, 156601916, 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35201857500, 25374306888, 3456810872, 150150662152, -14708161116, -11713190000, -52657680776, 48031817400, -74517464316, 97398388936, -14176620000, 144706616258, 28727855616, -46954058940, -13026500624, 26535937500, 26663078448, 35517961860, -30234147240, 22033212084, -19199470000, -76247082836, 20486696256, -57468084576, -64243962928, -16072627500, 22214475816, -12998541248, -72153857160, 47292523008, -8328775000, 20952592866, 124198466944, 102798816544, 32588787672, 11076387500, -10600552456, -8129647944, -95107917732, -205128802428, 15377343750, -122903703820, -60307115168, -31396593384, 53715474068, 70810230000, 109408654368, -68359262484, 139433779512, -38663106948, -70660775000, -114572367188, -90835288920, 20495098728, 106020461192, -55876331250, -86445326756, -104614886204, 0, 199882862868, 62018210000, 97292351988, -90786295632, 137839995960, -12391631424, -3417968750, 101452627092, 24804017964, 92737317312, -36770744644, -44394075000, 171642527202, 143692829184, 162973359504, 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364665037500, -527848796368, 360098530104, 164583419832, -442763124048, -196501610000, -1052465208516, -393473903804, -764674781028, -117240145524, -56722142500, 156340697952, -15654388536, 1558731327160, 836071572216, 209871810000, -251710033860, -64484995600, 684289763532, -71546707076, 45098437500, -36399456972, -885346264916, -698469327672, 299555329788, -8546425000, 92896287468, -351838671624, 280631755460, 1212048822768, -31172951250, -1104138631506, 557856163504, 856786879152, -2366911692968, 2030735000, -982004577948, -1028936481364, -3216132148224, 159265886796, 546345560000, 546169013016, 222038416296, 34226556592, -917042834872, -39550781250, 3085200806952, 1337800117096, -289318606164, 512117720200, -186374715000, -506264224572, 580214582680, -63004602840, 766478906226, -124364460000, -780026615120, -26832705408, 2207825319556, -2160421799232, 443503147500, -1306046193984, 2509817282796, 270227375316, -690669099156, 433675075000, -674926107156, 666542979784, -94294940848, 119756964240, 423957031250, 2282300722980, -880925658696, 459570037072, 2731705989384, 0, -2683590710760, -136216150616, 471166821216, 880024667868, -969652397500, 401304858732, -2041147036004, -2481971048160, -590916097584, -819517320000, 783893320276, -619588425744, 1400018282384, -783070938908, 211276552500, 1005774255028, -3796628818736, 335452540104, 45638697540, -164265625000, 875822131224, 2335381369384, 1627759117512, 728067233160, -613830860000, 1074694626336, 427729225968, -1191670092860, 1173035461344, -75480255000, -416240992412, 1659834137280, -586787844132, 749138757280, -198841132500, 555023267910, -705675293440, -409847878272, -1045828452132, -724116585000, -1196317498868, -1347471044028, -6666139316356, -1397430299404, 174276562500, 1401409764952, -4025797226336, -1999875290400, 1809524070472, 575972105000, 149466706704, 1089329807692, 5928847229256, 412179262308, 1760544420000, -1483949455728, 4286592487872, -767982854668, -646991415784, -810752895000, 646865906844, 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• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 10516
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '15.10.a.b', 'target_level': 15, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 10}
  • id: 10517
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '45.10.a.a', 'target_level': 45, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 10518
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '75.10.a.a', 'target_level': 75, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 10}
  • id: 10519
    {'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '75.10.b.b', 'target_level': 75, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 10}
  • id: 10520
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '225.10.a.f', 'target_level': 225, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 10}
  • id: 10521
    {'conductor': 15, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 2, 'target_dim': 2, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '225.10.b.b', 'target_level': 225, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 10}
  • id: 10522
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 2, 'source_is_minimal': True, 'source_label': '15.10.a.b', 'source_level': 15, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '240.10.a.g', 'target_level': 240, 'twist_class_label': '15.10.a.b', 'twist_class_level': 15, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 10}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 61375
    {'charpoly_factorization': [[[-22, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 2}
  • id: 61376
    {'charpoly_factorization': [[[81, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 3}
  • id: 61377
    {'charpoly_factorization': [[[625, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 5}
  • id: 61378
    {'charpoly_factorization': [[[5988, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 7}
  • id: 61379
    {'charpoly_factorization': [[[14648, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 11}
  • id: 61380
    {'charpoly_factorization': [[[-37906, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 13}
  • id: 61381
    {'charpoly_factorization': [[[441098, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 17}
  • id: 61382
    {'charpoly_factorization': [[[-441820, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 19}
  • id: 61383
    {'charpoly_factorization': [[[-2264136, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 23}
  • id: 61384
    {'charpoly_factorization': [[[1049350, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 29}
  • id: 61385
    {'charpoly_factorization': [[[7910568, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 31}
  • id: 61386
    {'charpoly_factorization': [[[20992558, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 37}
  • id: 61387
    {'charpoly_factorization': [[[-13285562, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 41}
  • id: 61388
    {'charpoly_factorization': [[[23130764, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 43}
  • id: 61389
    {'charpoly_factorization': [[[13873688, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 47}
  • id: 61390
    {'charpoly_factorization': [[[57635174, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 53}
  • id: 61391
    {'charpoly_factorization': [[[32042120, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 59}
  • id: 61392
    {'charpoly_factorization': [[[-110664022, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 61}
  • id: 61393
    {'charpoly_factorization': [[[118568268, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 67}
  • id: 61394
    {'charpoly_factorization': [[[-276679712, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 71}
  • id: 61395
    {'charpoly_factorization': [[[264023294, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 73}
  • id: 61396
    {'charpoly_factorization': [[[-448202760, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 79}
  • id: 61397
    {'charpoly_factorization': [[[-851015796, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 83}
  • id: 61398
    {'charpoly_factorization': [[[-189894930, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 89}
  • id: 61399
    {'charpoly_factorization': [[[1014149278, 1], 1]], 'hecke_orbit_code': 4503599795142671, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '15.10.a.b', 'level': 15, 'portrait': 'data:image/png;base64,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', 'weight': 10}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 76297000
    {'hecke_orbit_code': 4503599795142671, 'n': 1, 'trace_an': 1}
  • id: 76297001
    {'hecke_orbit_code': 4503599795142671, 'n': 2, 'trace_an': 22}
  • id: 76297002
    {'hecke_orbit_code': 4503599795142671, 'n': 3, 'trace_an': -81}
  • id: 76297003
    {'hecke_orbit_code': 4503599795142671, 'n': 4, 'trace_an': -28}
  • id: 76297004
    {'hecke_orbit_code': 4503599795142671, 'n': 5, 'trace_an': -625}
  • id: 76297005
    {'hecke_orbit_code': 4503599795142671, 'n': 6, 'trace_an': -1782}
  • id: 76297006
    {'hecke_orbit_code': 4503599795142671, 'n': 7, 'trace_an': -5988}
  • id: 76297007
    {'hecke_orbit_code': 4503599795142671, 'n': 8, 'trace_an': -11880}
  • id: 76297008
    {'hecke_orbit_code': 4503599795142671, 'n': 9, 'trace_an': 6561}
  • id: 76297009
    {'hecke_orbit_code': 4503599795142671, 'n': 10, 'trace_an': -13750}
  • id: 76297010
    {'hecke_orbit_code': 4503599795142671, 'n': 11, 'trace_an': -14648}
  • id: 76297011
    {'hecke_orbit_code': 4503599795142671, 'n': 12, 'trace_an': 2268}
  • id: 76297012
    {'hecke_orbit_code': 4503599795142671, 'n': 13, 'trace_an': 37906}
  • id: 76297013
    {'hecke_orbit_code': 4503599795142671, 'n': 14, 'trace_an': -131736}
  • id: 76297014
    {'hecke_orbit_code': 4503599795142671, 'n': 15, 'trace_an': 50625}
  • id: 76297015
    {'hecke_orbit_code': 4503599795142671, 'n': 16, 'trace_an': -247024}
  • id: 76297016
    {'hecke_orbit_code': 4503599795142671, 'n': 17, 'trace_an': -441098}
  • id: 76297017
    {'hecke_orbit_code': 4503599795142671, 'n': 18, 'trace_an': 144342}
  • id: 76297018
    {'hecke_orbit_code': 4503599795142671, 'n': 19, 'trace_an': 441820}
  • id: 76297019
    {'hecke_orbit_code': 4503599795142671, 'n': 20, 'trace_an': 17500}
  • id: 76297020
    {'hecke_orbit_code': 4503599795142671, 'n': 21, 'trace_an': 485028}
  • id: 76297021
    {'hecke_orbit_code': 4503599795142671, 'n': 22, 'trace_an': -322256}
  • id: 76297022
    {'hecke_orbit_code': 4503599795142671, 'n': 23, 'trace_an': 2264136}
  • id: 76297023
    {'hecke_orbit_code': 4503599795142671, 'n': 24, 'trace_an': 962280}
  • id: 76297024
    {'hecke_orbit_code': 4503599795142671, 'n': 25, 'trace_an': 390625}
  • id: 76297025
    {'hecke_orbit_code': 4503599795142671, 'n': 26, 'trace_an': 833932}
  • id: 76297026
    {'hecke_orbit_code': 4503599795142671, 'n': 27, 'trace_an': -531441}
  • id: 76297027
    {'hecke_orbit_code': 4503599795142671, 'n': 28, 'trace_an': 167664}
  • id: 76297028
    {'hecke_orbit_code': 4503599795142671, 'n': 29, 'trace_an': -1049350}
  • id: 76297029
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