Newform data - 189.3.d.c

Formats: - HTML - YAML - JSON - 2025-04-22T13:32:35.343264

• 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
  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_largest	boolean
  is_maximal	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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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': 1701, 'analytic_conductor': 5.149876996409612, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 7, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [189, 2, [29, 136], [2, 1]], 'cm_discs': [], 'conrey_index': 55, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [-1, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007405463503037, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '189.3.d.c', 'level': 189, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'minimal_twist': '189.3.d.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 2, 'qexp_display': 'q+q^{2}-3q^{4}+(1-2\\zeta_{6})q^{5}-7\\zeta_{6}q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '189.3.d', 'trace_display': [2, 0, 0, -7], 'trace_hash': 1571361182070935854, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.903', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.084', 'prec': 17}, {'__RealLiteral__': 0, 'data': '15.121', 'prec': 20}, {'__RealLiteral__': 0, 'data': '2.066', 'prec': 17}, {'__RealLiteral__': 0, 'data': '152.142', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [2, 2, 0, -6, 0, 0, -7, -14, 0, 0, -34, 0, 0, -7, 0, 10, 0, 0, 0, 0, 0, -34, -64, 0, 44, 0, 0, 21, -4, 0, 0, 66, 0, 0, -21, 0, 16, 0, 0, 0, 0, 0, 52, 102, 0, -64, 0, 0, -49, 44, 0, 0, 2, 0, 0, 49, 0, -4, 0, 0, 0, 0, 0, 26, 60, 0, -68, 0, 0, -21, 20, 0, 0, 16, 0, 0, 119, 0, -92, 0, 0, 0, 0, 0, -108, 52, 0, 238, 0, 0, 210, 192, 0, 0, -72, 0, 0, -49, 0, -132, 0, 0, 0, 0, 0, 2, -214, 0, -176, 0, 0, -35, -400, 0, 0, 12, 0, 0, -378, 0, 336, 0, 0, 0, 0, 0, 286, -238, 0, 60, 0, 0, -252, -68, 0, 0, 20, 0, 0, 63, 0, 20, 0, 0, 0, 0, 0, -48, 158, 0, -146, 0, 0, 119, 78, 0, 0, -92, 0, 0, 224, 0, -452, 0, 0, 0, 0, 0, -262, -108, 0, -156, 0, 0, -154, -170, 0, 0, -238, 0, 0, 210, 0, 448, 0, 0, 0, 0, 0, -72, 380, 0, 622, 0, 0, 147, 614, 0, 0, -308, 0, 0, 14, 0, 48, 0, 0, 0, 0, 0, -392, -6, 0, -214, 0, 0, 273, -176, 0, 0, 1080, 0, 0, -231, 0, -400, 0, 0, 0, 0, 0, 28, 356, 0, 132, 0, 0, -378, 176, 0, 0, 336, 0, 0, 147, 0, 720, 0, 0, 0, 0, 0, 1088, 286, 0, -342, 0, 0, -56, -180, 0, 0, -232, 0, 0, -252, 0, 204, 0, 0, 0, 0, 0, 20, -748, 0, -272, 0, 0, 147, 740, 0, 0, -60, 0, 0, 168, 0, -1366, 0, 0, 0, 0, 0, -312, -112, 0, 158, 0, 0, -182, -146, 0, 0, -240, 0, 0, -357, 0, 78, 0, 0, 0, 0, 0, 276, -454, 0, 68, 0, 0, 224, -1296, 0, 0, -452, 0, 0, 462, 0, 796, 0, 0, 0, 0, 0, -1220, -262, 0, 324, 0, 0, 686, -364, 0, 0, -1030, 0, 0, -154, 0, -1122, 0, 0, 0, 0, 0, -238, 452, 0, -142, 0, 0, -630, -198, 0, 0, -320, 0, 0, -7, 0, 436, 0, 0, 0, 0, 0, 592, 216, 0, 380, 0, 0, 357, 622, 0, 0, 914, 0, 0, 343, 0, 614, 0, 0, 0, 0, 0, 220, 896, 0, -780, 0, 0, 14, -272, 0, 0, 48, 0, 0, -1092, 0, -354, 0, 0, 0, 0, 0, 1096, -392, 0, -14, 0, 0, -840, 642, 0, 0, 716, 0, 0, 273, 0, 528, 0, 0, 0, 0, 0, 1080, -1300, 0, 180, 0, 0, -91, 632, 0, 0, 1200, 0, 0, -210, 0, -38, 0, 0, 0, 0, 0, -1670, -20, 0, 356, 0, 0, 238, 132, 0, 0, -884, 0, 0, 1134, 0, 176, 0, 0, 0, 0, 0, -1008, 318, 0, 196, 0, 0, 147, 566, 0, 0, 720, 0, 0, -70, 0, 604, 0, 0, 0, 0, 0, -426, 1088, 0, -858, 0, 0, -693, 610, 0, 0, 24, 0, 0, -56, 0, -420, 0, 0, 0, 0, 0, -232, 1404, 0, 990, 0, 0, 756, -480, 0, 0, 476, 0, 0, 833, 0, -1568, 0, 0, 0, 0, 0, 52, -60, 0, -748, 0, 0, 322, -272, 0, 0, -1258, 0, 0, -105, 0, 740, 0, 0, 0, 0, 0, -140, -232, 0, 1180, 0, 0, 168, -1408, 0, 0, -1366, 0, 0, -1239, 0, -34, 0, 0, 0, 0, 0, 936, -312, 0, 80, 0, 0, 378, -474, 0, 0, 212, 0, 0, -182, 0, 438, 0, 0, 0, 0, 0, -240, -1320, 0, -1604, 0, 0, -833, -208, 0, 0, -234, 0, 0, 630, 0, 818, 0, 0, 0, 0, 0, 1534, 644, 0, -454, 0, 0, -1470, 68, 0, 0, -520, 0, 0, -672, 0, -1296, 0, 0, 0, 0, 0, 1356, -2146, 0, -42, 0, 0, 462, -1006, 0, 0, 796, 0, 0, 252, 0, 128, 0, 0, 0, 0, 0, 610, -1220, 0, 786, 0, 0, 1113, 756, 0, 0, 308, 0, 0, 686, 0, 260, 0, 0, 0, 0, 0, -1030, -480, 0, 864, 0, 0, 462, 938, 0, 0, -442, 0, 0, -1491, 0, 160, 0, 0, 0, 0, 0, -1020, 714, 0, 452, 0, 0, 84, -142, 0, 0, -88, 0, 0, -1470, 0, -198, 0, 0, 0, 0, 0, -2112, 1156, 0, -1460, 0, 0, -7, 1868, 0, 0, 436, 0, 0, 749, 0, -1526, 0, 0, 0, 0, 0, -1364, 592, 0, 504, 0, 0, 616, -1140, 0, 0, 3120, 0, 0, 357, 0, -1866, 0, 0, 0, 0, 0, 914, 576, 0, -340, 0, 0, -245, -696, 0, 0, -1842, 0, 0, 1400, 0, 2400, 0, 0, 0, 0, 0, 2376, 1452, 0, 896, 0, 0, 672, -780, 0, 0, -1276, 0, 0, -42, 0, -272, 0, 0, 0, 0, 0, -144, 524, 0, -1538, 0, 0, -1092, 884, 0, 0, -354, 0, 0, 2646, 0, 300, 0, 0, 0, 0, 0, -1674, 1096, 0, 1176, 0, 0, -1176, 10, 0, 0, -512, 0, 0, -840, 0, 1498, 0, 0, 0, 0, 0, 716, 2432, 0, 258, 0, 0, -819, 1564, 0, 0, 1232, 0, 0, -987, 0, 508, 0, 0, 0, 0, 0, 160, -3240, 0, -1300, 0, 0, -1001, 180, 0, 0, 1584, 0, 0, 833, 0, 632, 0, 0, 0, 0, 0, 2800, 216, 0, -416, 0, 0, -210, 3308, 0, 0, -38, 0, 0, -147, 0, 106, 0, 0, 0, 0, 0, 352, -1670, 0, -132, 0, 0, 1764, -1068, 0, 0, 1836, 0, 0, 238, 0, -396, 0, 0, 0, 0, 0, -884, 770, 0, 1980, 0, 0, 2646, -2488, 0, 0, -528, 0, 0, -70, 0, 908, 0, 0, 0, 0, 0, -1070, -2352, 0, 318, 0, 0, -1680, 196, 0, 0, -1900, 0, 0, -441, 0, 566, 0, 0, 0, 0, 0, -2160, -1664, 0, 2302, 0, 0, -70, -882, 0, 0, 604, 0, 0], 'weight': 3, 'weight_parity': -1}
• 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, 0], [1, 0], [0, 0], [-3, 0], [1, -2], [0, 0], [0, -7], [-7, 0], [0, 0], [1, -2], [-17, 0], [0, 0], [-10, 20], [0, -7], [0, 0], [5, 0], [18, -36], [0, 0], [12, -24], [-3, 6], [0, 0], [-17, 0], [-32, 0], [0, 0], [22, 0], [-10, 20], [0, 0], [0, 21], [-2, 0], [0, 0], [-13, 26], [33, 0], [0, 0], [18, -36], [-14, 7], [0, 0], [8, 0], [12, -24], [0, 0], [-7, 14], [-8, 16], [0, 0], [26, 0], [51, 0], [0, 0], [-32, 0], [-22, 44], [0, 0], [-49, 49], [22, 0], [0, 0], [30, -60], [1, 0], [0, 0], [-17, 34], [0, 49], [0, 0], [-2, 0], [52, -104], [0, 0], [40, -80], [-13, 26], [0, 0], [13, 0], [30, 0], [0, 0], [-34, 0], [-54, 108], [0, 0], [-14, 7], [10, 0], [0, 0], [33, -66], [8, 0], [0, 0], [-36, 72], [0, 119], [0, 0], [-46, 0], [5, -10], [0, 0], [-8, 16], [59, -118], [0, 0], [-54, 0], [26, 0], [0, 0], [119, 0], [-30, 60], [0, 0], [140, -70], [96, 0], [0, 0], [-22, 44], [-36, 0], [0, 0], [-53, 106], [-49, 49], [0, 0], [-66, 0]], 'ap': [[1, 0], [0, 0], [1, -2], [0, -7], [-17, 0], [-10, 20], [18, -36], [12, -24], [-32, 0], [-2, 0], [-13, 26], [8, 0], [-8, 16], [26, 0], [-22, 44], [1, 0], [52, -104], [40, -80], [-34, 0], [10, 0], [33, -66], [-46, 0], [59, -118], [-30, 60], [-53, 106], [71, -142], [-4, 8], [-107, 0], [-88, 0], [-200, 0], [143, 0], [7, -14], [10, 0], [80, -160], [79, 0], [-73, 0], [116, -232], [-226, 0], [-50, 100], [-43, 86], [-119, 0], [-36, 72], [190, 0], [311, 0], [307, 0], [147, -294], [-196, 0], [-44, 88], [44, -88], [14, -28], [178, 0], [88, 0], [-116, 232], [-180, 360], [-2, 4], [-116, 0], [-204, 408], [39, -78], [-136, 0], [370, 0], [-232, 464], [28, -56], [246, -492], [-92, 184], [223, -446], [-227, 0], [398, 0], [-610, 0], [-515, 0], [-188, 376], [-136, 272], [226, 0], [307, -614], [218, 0], [296, 0], [370, -740], [457, 0], [-66, 132], [448, 0], [275, -550], [-140, 280], [548, 0], [358, 0], [-93, 186], [193, -386], [-650, 0], [316, 0], [-19, 0], [-205, 410], [-835, 0], [249, -498], [-358, 716], [98, 0], [283, 0], [302, 0], [-384, 768], [337, -674], [-162, 324], [558, -1116], [-784, 0], [26, 0], [-629, 0], [505, -1010], [-116, 0], [590, 0], [-156, 312], [101, -202], [342, -684], [106, 0], [211, -422], [56, -112], [-802, 0], [-104, 0], [-302, 604], [767, 0], [-260, 0], [92, -184], [300, -600], [-1073, 0], [-503, 0], [572, -1144], [305, 0], [-4, 8], [154, 0], [-8, 16], [469, 0], [80, 0], [-444, 888], [-317, 634], [-16, 32], [-730, 0], [934, 0], [-763, 0], [-682, 0], [112, -224], [725, -1450], [384, -768], [-664, 1328], [559, -1118], [-638, 0], [336, -672], [262, 0], [-769, 0], [442, 0], [-774, 1548], [-646, 1292], [622, -1244], [-58, 116], [56, -112], [1216, 0], [254, 0], [378, -756], [80, 0], [-614, 1228], [-208, 0], [1654, 0], [53, 0], [-172, 344], [-1059, 2118], [793, -1586], [385, 0], [-1244, 0], [-535, 0], [429, -858], [-950, 0], [926, -1852], [1151, 0], [214, -428]], 'char_orbit_index': 4, 'field_poly': [1, -1, 1], 'hecke_orbit_code': 9007405463503037, 'hecke_ring_character_values': [[29, [1, 0]], [136, [-1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '189.3.d.c', 'level': 189, 'maxp': 997, 'weight': 3}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	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

  
  {'Nk2': 1701, 'analytic_conductor': 5.149876996409612, 'char_conductor': 7, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': -1, 'char_values': [189, 2, [29, 136], [2, 1]], 'conrey_index': 55, 'cusp_dim': 42, 'dim': 22, 'eis_dim': 12, 'eis_new_dim': 0, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 206208762045, 'hecke_orbit_dims': [2, 2, 2, 8, 8], 'label': '189.3.d', 'level': 189, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 7], 'level_radical': 21, 'mf_dim': 54, 'mf_new_dim': 22, 'num_forms': 5, 'prim_orbit_index': 2, 'relative_dim': 22, 'sturm_bound': 72, 'trace_bound': 4, 'trace_display': [0, 0, 0, -5], 'traces': [22, 0, 0, 48, 0, 0, -5, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, -44, 0, 0, -122, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, -130, 0, 0, 0, 0, 0, -196, 0, 0, 100, 0, 0, -131, 0, 0, 0, 0, 0, 0, 0, 0, -284, 0, 0, 0, 0, 0, 280, 0, 0, 218, 0, 0, 150, 0, 0, 0, 0, 0, 0, 0, 0, 890, 0, 0, 0, 0, 0, 468, 0, 0, -652, 0, 0, 345, 0, 0, 0, 0, 0, 0, 0, 0, -1572, 0, 0, 0, 0, 0, -1208, 0, 0, -88, 0, 0, -454, 0, 0, 0, 0, 0, 0, 0, 0, -330, 0, 0, 0, 0, 0, 1244, 0, 0, 672, 0, 0, -549, 0, 0, 0, 0, 0, 0, 0, 0, 2860, 0, 0, 0, 0, 0, -240, 0, 0, 434, 0, 0, 1390, 0, 0, 0, 0, 0, 0, 0, 0, -1114, 0, 0, 0, 0, 0, -644, 0, 0, -348, 0, 0, 841, 0, 0, 0, 0, 0, 0, 0, 0, 572, 0, 0, 0, 0, 0, 1656, 0, 0, -106, 0, 0, -2490, 0, 0, 0, 0, 0, 0, 0, 0, 804, 0, 0, 0, 0, 0, -1570, 0, 0, 1780, 0, 0, -258, 0, 0, 0, 0, 0, 0, 0, 0, -3656, 0, 0, 0, 0, 0, -2644, 0, 0, -2100, 0, 0, -360, 0, 0, 0, 0, 0, 0, 0, 0, -522, 0, 0, 0, 0, 0, 712, 0, 0, -2640, 0, 0, -1495, 0, 0, 0, 0, 0, 0, 0, 0, 3228, 0, 0, 0, 0, 0, 3520, 0, 0, 656, 0, 0, 5574, 0, 0, 0, 0, 0, 0, 0, 0, -2498, 0, 0, 0, 0, 0, -2940, 0, 0, -416, 0, 0, 446, 0, 0, 0, 0, 0, 0, 0, 0, 2220, 0, 0, 0, 0, 0, 4272, 0, 0, 1624, 0, 0, -3488, 0, 0, 0, 0, 0, 0, 0, 0, 3986, 0, 0, 0, 0, 0, -1678, 0, 0, 6480, 0, 0, 1270, 0, 0, 0, 0, 0, 0, 0, 0, -6012, 0, 0, 0, 0, 0, -692, 0, 0, -968, 0, 0, 900, 0, 0, 0, 0, 0, 0, 0, 0, -1222, 0, 0, 0, 0, 0, 5558, 0, 0, -3248, 0, 0, -3198, 0, 0, 0, 0, 0, 0, 0, 0, 1420, 0, 0, 0, 0, 0, -2932, 0, 0, 948, 0, 0, 1132, 0, 0, 0, 0, 0, 0, 0, 0, -408, 0, 0, 0, 0, 0, -3178, 0, 0, -3088, 0, 0, 3111, 0, 0, 0, 0, 0, 0, 0, 0, 984, 0, 0, 0, 0, 0, -4356, 0, 0, -1224, 0, 0, -3638, 0, 0, 0, 0, 0, 0, 0, 0, 2684, 0, 0, 0, 0, 0, 1694, 0, 0, -5984, 0, 0, 2747, 0, 0, 0, 0, 0, 0, 0, 0, -3152, 0, 0, 0, 0, 0, -3972, 0, 0, -238, 0, 0, -5946, 0, 0, 0, 0, 0, 0, 0, 0, 848, 0, 0, 0, 0, 0, 5244, 0, 0, 5388, 0, 0, 693, 0, 0, 0, 0, 0, 0, 0, 0, 8832, 0, 0, 0, 0, 0, 1972, 0, 0, 6606, 0, 0, 1404, 0, 0, 0, 0, 0, 0, 0, 0, -4966, 0, 0, 0, 0, 0, 1538, 0, 0, 3592, 0, 0, 2879, 0, 0, 0, 0, 0, 0, 0, 0, -4544, 0, 0, 0, 0, 0, 5012, 0, 0, 3662, 0, 0, 1320, 0, 0, 0, 0, 0, 0, 0, 0, 844, 0, 0, 0, 0, 0, -5328, 0, 0, -3128, 0, 0, -4608, 0, 0, 0, 0, 0, 0, 0, 0, -4452, 0, 0, 0, 0, 0, -7584, 0, 0, -5362, 0, 0, -466, 0, 0, 0, 0, 0, 0, 0, 0, -1226, 0, 0, 0, 0, 0, -1882, 0, 0, -8924, 0, 0, -759, 0, 0, 0, 0, 0, 0, 0, 0, 2376, 0, 0, 0, 0, 0, 11220, 0, 0, -11004, 0, 0, 10884, 0, 0, 0, 0, 0, 0, 0, 0, 4252, 0, 0, 0, 0, 0, -214, 0, 0, 8364, 0, 0, -5925, 0, 0, 0, 0, 0, 0, 0, 0, 5740, 0, 0, 0, 0, 0, -4268, 0, 0, 8028, 0, 0, 4344, 0, 0, 0, 0, 0, 0, 0, 0, 2846, 0, 0, 0, 0, 0, -5592, 0, 0, 9988, 0, 0, -6153, 0, 0, 0, 0, 0, 0, 0, 0, -6444, 0, 0, 0, 0, 0, 8820, 0, 0, -4660, 0, 0, 2386, 0, 0, 0, 0, 0, 0, 0, 0, -8842, 0, 0, 0, 0, 0, 10334, 0, 0, 2232, 0, 0, 3290, 0, 0, 0, 0, 0, 0, 0, 0, -6720, 0, 0, 0, 0, 0, 4900, 0, 0, -2720, 0, 0, -8422, 0, 0, 0, 0, 0, 0, 0, 0, 9006, 0, 0, 0, 0, 0, -1764, 0, 0, 3688, 0, 0, 6288, 0, 0, 0, 0, 0, 0, 0, 0, 1400, 0, 0, 0, 0, 0, -18648, 0, 0, -730, 0, 0, -444, 0, 0, 0, 0, 0, 0, 0, 0, -3588, 0, 0, 0, 0, 0, -5850, 0, 0, -20148, 0, 0, -561, 0, 0, 0, 0, 0, 0, 0, 0, 9764, 0, 0, 0, 0, 0, 352, 0, 0, 1500, 0, 0, -11034, 0, 0, 0, 0, 0, 0, 0, 0, 4250, 0, 0, 0, 0, 0, 4946, 0, 0, 3712, 0, 0, 2540, 0, 0, 0, 0, 0, 0, 0, 0, 88, 0, 0, 0, 0, 0, -6616, 0, 0, 9110, 0, 0, 492, 0, 0, 0, 0, 0, 0, 0, 0, -4684, 0, 0, 0, 0, 0, 8042, 0, 0, -1116, 0, 0, 9135, 0, 0, 0, 0, 0, 0, 0, 0, -7704, 0, 0, 0, 0, 0, -5992, 0, 0, 3366, 0, 0, 4032, 0, 0, 0, 0, 0, 0, 0, 0, -13154, 0, 0, 0, 0, 0, -7174, 0, 0, 7068, 0, 0, -10437, 0, 0, 0, 0, 0, 0, 0, 0, 16228, 0, 0, 0, 0, 0, 4320, 0, 0, -6574, 0, 0, -7388, 0, 0, 0, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• 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: 154978
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '189.3.d.c', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '189.3.d.a', 'target_level': 189, 'twist_class_label': '189.3.d.a', 'twist_class_level': 189, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 154979
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '189.3.d.c', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '189.3.d.a', 'target_level': 189, 'twist_class_label': '189.3.d.a', 'twist_class_level': 189, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 3}
  • id: 154980
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '189.3.d.c', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '189.3.d.c', 'target_level': 189, 'twist_class_label': '189.3.d.a', 'twist_class_level': 189, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 154981
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 4, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '189.3.d.c', 'source_level': 189, 'target_char_orbit': 4, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '189.3.d.c', 'target_level': 189, 'twist_class_label': '189.3.d.a', 'twist_class_level': 189, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 473250
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 2}
  • id: 473251
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 3}
  • id: 473252
    {'charpoly_factorization': [[[3, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 5}
  • id: 473253
    {'charpoly_factorization': [[[49, 7, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 7}
  • id: 473254
    {'charpoly_factorization': [[[17, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 11}
  • id: 473255
    {'charpoly_factorization': [[[300, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 13}
  • id: 473256
    {'charpoly_factorization': [[[972, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 17}
  • id: 473257
    {'charpoly_factorization': [[[432, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 19}
  • id: 473258
    {'charpoly_factorization': [[[32, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 23}
  • id: 473259
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 29}
  • id: 473260
    {'charpoly_factorization': [[[507, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 31}
  • id: 473261
    {'charpoly_factorization': [[[-8, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 37}
  • id: 473262
    {'charpoly_factorization': [[[192, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 41}
  • id: 473263
    {'charpoly_factorization': [[[-26, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 43}
  • id: 473264
    {'charpoly_factorization': [[[1452, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 47}
  • id: 473265
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 53}
  • id: 473266
    {'charpoly_factorization': [[[8112, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 59}
  • id: 473267
    {'charpoly_factorization': [[[4800, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 61}
  • id: 473268
    {'charpoly_factorization': [[[34, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 67}
  • id: 473269
    {'charpoly_factorization': [[[-10, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 71}
  • id: 473270
    {'charpoly_factorization': [[[3267, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 73}
  • id: 473271
    {'charpoly_factorization': [[[46, 1], 2]], 'hecke_orbit_code': 9007405463503037, 'p': 79}
  • id: 473272
    {'charpoly_factorization': [[[10443, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 83}
  • id: 473273
    {'charpoly_factorization': [[[2700, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, 'p': 89}
  • id: 473274
    {'charpoly_factorization': [[[8427, 0, 1], 1]], 'hecke_orbit_code': 9007405463503037, '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': 4, 'hecke_orbit': 3, 'label': '189.3.d.c', 'level': 189, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30267247
    {'hecke_orbit_code': 9007405463503037, 'n': 1, 'trace_an': 2}
  • id: 30267248
    {'hecke_orbit_code': 9007405463503037, 'n': 2, 'trace_an': 2}
  • id: 30267249
    {'hecke_orbit_code': 9007405463503037, 'n': 3, 'trace_an': 0}
  • id: 30267250
    {'hecke_orbit_code': 9007405463503037, 'n': 4, 'trace_an': -6}
  • id: 30267251
    {'hecke_orbit_code': 9007405463503037, 'n': 5, 'trace_an': 0}
  • id: 30267252
    {'hecke_orbit_code': 9007405463503037, 'n': 6, 'trace_an': 0}
  • id: 30267253
    {'hecke_orbit_code': 9007405463503037, 'n': 7, 'trace_an': -7}
  • id: 30267254
    {'hecke_orbit_code': 9007405463503037, 'n': 8, 'trace_an': -14}
  • id: 30267255
    {'hecke_orbit_code': 9007405463503037, 'n': 9, 'trace_an': 0}
  • id: 30267256
    {'hecke_orbit_code': 9007405463503037, 'n': 10, 'trace_an': 0}
  • id: 30267257
    {'hecke_orbit_code': 9007405463503037, 'n': 11, 'trace_an': -34}
  • id: 30267258
    {'hecke_orbit_code': 9007405463503037, 'n': 12, 'trace_an': 0}
  • id: 30267259
    {'hecke_orbit_code': 9007405463503037, 'n': 13, 'trace_an': 0}
  • id: 30267260
    {'hecke_orbit_code': 9007405463503037, 'n': 14, 'trace_an': -7}
  • id: 30267261
    {'hecke_orbit_code': 9007405463503037, 'n': 15, 'trace_an': 0}
  • id: 30267262
    {'hecke_orbit_code': 9007405463503037, 'n': 16, 'trace_an': 10}
  • id: 30267263
    {'hecke_orbit_code': 9007405463503037, 'n': 17, 'trace_an': 0}
  • id: 30267264
    {'hecke_orbit_code': 9007405463503037, 'n': 18, 'trace_an': 0}
  • id: 30267265
    {'hecke_orbit_code': 9007405463503037, 'n': 19, 'trace_an': 0}
  • id: 30267266
    {'hecke_orbit_code': 9007405463503037, 'n': 20, 'trace_an': 0}
  • id: 30267267
    {'hecke_orbit_code': 9007405463503037, 'n': 21, 'trace_an': 0}
  • id: 30267268
    {'hecke_orbit_code': 9007405463503037, 'n': 22, 'trace_an': -34}
  • id: 30267269
    {'hecke_orbit_code': 9007405463503037, 'n': 23, 'trace_an': -64}
  • id: 30267270
    {'hecke_orbit_code': 9007405463503037, 'n': 24, 'trace_an': 0}
  • id: 30267271
    {'hecke_orbit_code': 9007405463503037, 'n': 25, 'trace_an': 44}
  • id: 30267272
    {'hecke_orbit_code': 9007405463503037, 'n': 26, 'trace_an': 0}
  • id: 30267273
    {'hecke_orbit_code': 9007405463503037, 'n': 27, 'trace_an': 0}
  • id: 30267274
    {'hecke_orbit_code': 9007405463503037, 'n': 28, 'trace_an': 21}
  • id: 30267275
    {'hecke_orbit_code': 9007405463503037, 'n': 29, 'trace_an': -4}
  • id: 30267276
    {'hecke_orbit_code': 9007405463503037, 'n': 30, 'trace_an': 0}
  • id: 30267277
    {'hecke_orbit_code': 9007405463503037, 'n': 31, 'trace_an': 0}
  • id: 30267278
    {'hecke_orbit_code': 9007405463503037, 'n': 32, 'trace_an': 66}
  • id: 30267279
    {'hecke_orbit_code': 9007405463503037, 'n': 33, 'trace_an': 0}
  • id: 30267280
    {'hecke_orbit_code': 9007405463503037, 'n': 34, 'trace_an': 0}
  • id: 30267281
    {'hecke_orbit_code': 9007405463503037, 'n': 35, 'trace_an': -21}
  • id: 30267282
    {'hecke_orbit_code': 9007405463503037, 'n': 36, 'trace_an': 0}
  • id: 30267283
    {'hecke_orbit_code': 9007405463503037, 'n': 37, 'trace_an': 16}
  • id: 30267284
    {'hecke_orbit_code': 9007405463503037, 'n': 38, 'trace_an': 0}
  • id: 30267285
    {'hecke_orbit_code': 9007405463503037, 'n': 39, 'trace_an': 0}
  • id: 30267286
    {'hecke_orbit_code': 9007405463503037, 'n': 40, 'trace_an': 0}
  • id: 30267287
    {'hecke_orbit_code': 9007405463503037, 'n': 41, 'trace_an': 0}
  • id: 30267288
    {'hecke_orbit_code': 9007405463503037, 'n': 42, 'trace_an': 0}
  • id: 30267289
    {'hecke_orbit_code': 9007405463503037, 'n': 43, 'trace_an': 52}
  • id: 30267290
    {'hecke_orbit_code': 9007405463503037, 'n': 44, 'trace_an': 102}
  • id: 30267291
    {'hecke_orbit_code': 9007405463503037, 'n': 45, 'trace_an': 0}
  • id: 30267292
    {'hecke_orbit_code': 9007405463503037, 'n': 46, 'trace_an': -64}
  • id: 30267293
    {'hecke_orbit_code': 9007405463503037, 'n': 47, 'trace_an': 0}
  • id: 30267294
    {'hecke_orbit_code': 9007405463503037, 'n': 48, 'trace_an': 0}
  • id: 30267295
    {'hecke_orbit_code': 9007405463503037, 'n': 49, 'trace_an': -49}
  • id: 30267296
    {'hecke_orbit_code': 9007405463503037, 'n': 50, 'trace_an': 44}
  • id: 30267297
    {'hecke_orbit_code': 9007405463503037, 'n': 51, 'trace_an': 0}
  • id: 30267298
    {'hecke_orbit_code': 9007405463503037, 'n': 52, 'trace_an': 0}
  • id: 30267299
    {'hecke_orbit_code': 9007405463503037, 'n': 53, 'trace_an': 2}
  • id: 30267300
    {'hecke_orbit_code': 9007405463503037, 'n': 54, 'trace_an': 0}
  • id: 30267301
    {'hecke_orbit_code': 9007405463503037, 'n': 55, 'trace_an': 0}
  • id: 30267302
    {'hecke_orbit_code': 9007405463503037, 'n': 56, 'trace_an': 49}
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  • id: 30267501
    {'hecke_orbit_code': 9007405463503037, 'n': 977, 'trace_an': -1900}
  • id: 30267502
    {'hecke_orbit_code': 9007405463503037, 'n': 983, 'trace_an': 0}
  • id: 30267503
    {'hecke_orbit_code': 9007405463503037, 'n': 991, 'trace_an': 2302}
  • id: 30267504
    {'hecke_orbit_code': 9007405463503037, 'n': 997, 'trace_an': 0}