Newform data - 960.4.f.n

Formats: - HTML - YAML - JSON - 2025-04-07T02:44:32.945423

• 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': 15360, 'analytic_conductor': 56.64183360551099, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [960, 2, [511, 901, 641, 577], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 769, 'dim': 4, 'field_disc': 266256, 'field_disc_factorization': [[2, 4], [3, 2], [43, 2]], 'field_poly': [1024, 0, 65, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[7, [1345600, 0, 2324, 0, 1]], [11, [1240, 74, 1]]], 'hecke_orbit': 14, 'hecke_orbit_code': 58547138820309952, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 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': False, 'label': '960.4.f.n', 'level': 960, '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': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '120.4.f.d', 'nf_label': '4.0.266256.1', 'prim_orbit_index': 2, 'qexp_display': 'q-3\\beta _{1}q^{3}+(-5+5\\beta _{1}-\\beta _{2})q^{5}+(\\beta _{1}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '960.4.f', 'trace_display': [0, 0, -22, 0], 'trace_hash': 450418266150767578, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.894', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '77.780', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2203.405', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.507', 'prec': 17}, 'traces': [4, 0, 0, 0, -22, 0, 0, 0, -36, 0, -148, 0, 0, 0, 66, 0, 0, 0, -160, 0, 12, 0, 0, 0, 0, 0, 0, 0, 100, 0, -24, 0, 0, 0, -796, 0, 0, 0, -588, 0, 688, 0, 0, 0, 198, 0, 0, 0, -3276, 0, 468, 0, 0, 0, 1072, 0, 0, 0, 1332, 0, -488, 0, 0, 0, 820, 0, 0, 0, 240, 0, 616, 0, 0, 0, 48, 0, 0, 0, -2104, 0, 324, 0, 0, 0, -2148, 0, 0, 0, -1368, 0, -1352, 0, 0, 0, 2944, 0, 0, 0, 1332, 0, -4956, 0, 0, 0, 2256, 0, 0, 0, 1104, 0, -204, 0, 0, 0, -2504, 0, 0, 0, -7896, 0, 668, 0, 0, 0, -2926, 0, 0, 0, -1296, 0, 1956, 0, 0, 0, -594, 0, 0, 0, -1592, 0, -5256, 0, 0, 0, -2356, 0, 0, 0, 804, 0, 4888, 0, 0, 0, 4776, 0, 0, 0, 3804, 0, -12464, 0, 0, 0, -1668, 0, 0, 0, -1332, 0, 1440, 0, 0, 0, -16, 0, 0, 0, 1300, 0, 7760, 0, 0, 0, -6076, 0, 0, 0, -108, 0, 4536, 0, 0, 0, 4008, 0, 0, 0, -1528, 0, -5880, 0, 0, 0, -5332, 0, 0, 0, 10048, 0, -1384, 0, 0, 0, 2376, 0, 0, 0, -8472, 0, 5064, 0, 0, 0, 0, 0, 0, 0, -7776, 0, 4200, 0, 0, 0, 13248, 0, 0, 0, 8120, 0, 8360, 0, 0, 0, 16470, 0, 0, 0, -1488, 0, -3884, 0, 0, 0, 1296, 0, 0, 0, -38632, 0, -900, 0, 0, 0, -6716, 0, 0, 0, -29988, 0, -23128, 0, 0, 0, -5676, 0, 0, 0, 216, 0, 2856, 0, 0, 0, 3552, 0, 0, 0, 668, 0, 11040, 0, 0, 0, -19968, 0, 0, 0, -208, 0, 432, 0, 0, 0, -5572, 0, 0, 0, 12804, 0, 504, 0, 0, 0, 7164, 0, 0, 0, -7312, 0, 192, 0, 0, 0, 784, 0, 0, 0, 23424, 0, 17984, 0, 0, 0, 19552, 0, 0, 0, -1596, 0, 10176, 0, 0, 0, 4872, 0, 0, 0, 152, 0, 5292, 0, 0, 0, 6416, 0, 0, 0, -19472, 0, 11988, 0, 0, 0, 25336, 0, 0, 0, -6192, 0, 280, 0, 0, 0, -8778, 0, 0, 0, 10952, 0, 11052, 0, 0, 0, 20680, 0, 0, 0, -9804, 0, -23760, 0, 0, 0, 7960, 0, 0, 0, 36672, 0, 8528, 0, 0, 0, -1782, 0, 0, 0, -9248, 0, 14604, 0, 0, 0, 6856, 0, 0, 0, 24348, 0, -37312, 0, 0, 0, -624, 0, 0, 0, 23304, 0, 30320, 0, 0, 0, -3768, 0, 0, 0, -6264, 0, 29484, 0, 0, 0, -4860, 0, 0, 0, 5664, 0, -28552, 0, 0, 0, 45104, 0, 0, 0, -4212, 0, 25068, 0, 0, 0, 13536, 0, 0, 0, 54592, 0, 924, 0, 0, 0, -45408, 0, 0, 0, -34360, 0, -16232, 0, 0, 0, -11984, 0, 0, 0, -18312, 0, -16156, 0, 0, 0, -9648, 0, 0, 0, -28624, 0, -19296, 0, 0, 0, 19260, 0, 0, 0, 45380, 0, 61648, 0, 0, 0, -29924, 0, 0, 0, 2484, 0, -9376, 0, 0, 0, -51084, 0, 0, 0, 14044, 0, -11988, 0, 0, 0, -30280, 0, 0, 0, 118116, 0, 40976, 0, 0, 0, -26196, 0, 0, 0, 4392, 0, -32896, 0, 0, 0, 20472, 0, 0, 0, -21168, 0, -9576, 0, 0, 0, -5588, 0, 0, 0, 21792, 0, -19552, 0, 0, 0, -320, 0, 0, 0, -8904, 0, 25264, 0, 0, 0, -7380, 0, 0, 0, 75264, 0, 18036, 0, 0, 0, 11952, 0, 0, 0, -18416, 0, 12240, 0, 0, 0, -22766, 0, 0, 0, -32208, 0, -78624, 0, 0, 0, 6708, 0, 0, 0, -8456, 0, -2160, 0, 0, 0, 62372, 0, 0, 0, -61848, 0, -56488, 0, 0, 0, -23100, 0, 0, 0, -5544, 0, 288, 0, 0, 0, 7128, 0, 0, 0, -74568, 0, 83520, 0, 0, 0, -1728, 0, 0, 0, 80508, 0, -63416, 0, 0, 0, -38336, 0, 0, 0, -40140, 0, 1544, 0, 0, 0, -432, 0, 0, 0, 45856, 0, 40272, 0, 0, 0, -2780, 0, 0, 0, 62648, 0, 8400, 0, 0, 0, 16496, 0, 0, 0, -11700, 0, -25316, 0, 0, 0, 18072, 0, 0, 0, -18704, 0, 18936, 0, 0, 0, -20536, 0, 0, 0, 51712, 0, -42968, 0, 0, 0, 39732, 0, 0, 0, -2916, 0, 16848, 0, 0, 0, -58698, 0, 0, 0, -55680, 0, 35904, 0, 0, 0, -34092, 0, 0, 0, -179632, 0, 10712, 0, 0, 0, -2632, 0, 0, 0, 3504, 0, 7856, 0, 0, 0, 19332, 0, 0, 0, -3616, 0, -3348, 0, 0, 0, -102168, 0, 0, 0, -52288, 0, -3184, 0, 0, 0, 3724, 0, 0, 0, 37872, 0, -50552, 0, 0, 0, -21696, 0, 0, 0, 104448, 0, 12312, 0, 0, 0, 51008, 0, 0, 0, 5040, 0, 49656, 0, 0, 0, 35120, 0, 0, 0, 12168, 0, -44580, 0, 0, 0, -1776, 0, 0, 0, -112736, 0, -56988, 0, 0, 0, 21960, 0, 0, 0, -7008, 0, -69772, 0, 0, 0, 32610, 0, 0, 0, -15336, 0, -101840, 0, 0, 0, -26496, 0, 0, 0, 35752, 0, -25800, 0, 0, 0, -55380, 0, 0, 0, 70624, 0, -78496, 0, 0, 0, 93484, 0, 0, 0, 57036, 0, -119848, 0, 0, 0, -15948, 0, 0, 0, -20712, 0, -11988, 0, 0, 0, -9472, 0, 0, 0, -65616, 0, -46872, 0, 0, 0, -84476, 0, 0, 0, 44604, 0, -99072, 0, 0, 0, -32820, 0, 0, 0, 53832, 0, -70656, 0, 0, 0, 272, 0, 0, 0, -4192, 0, 106272, 0, 0, 0, 55224, 0, 0, 0, -80904, 0, 99356, 0, 0, 0, -20304, 0, 0, 0, -118768, 0, 79452, 0, 0, 0, -34752, 0, 0, 0, 139096, 0, 48164, 0, 0, 0, 93208, 0, 0, 0, 43200, 0, 27540, 0, 0, 0, -17028, 0, 0, 0, 25848, 0, -9936, 0, 0, 0, -69444, 0, 0, 0, 8640, 0, 192952, 0, 0, 0, 25432, 0, 0, 0, 1836, 0], 'weight': 4, '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, 0, 0], [0, 0, 0, 0], [0, -3, 0, 0], [0, 0, 0, 0], [-5, 5, -1, 0], [0, 0, 0, 0], [0, 1, -3, -3], [0, 0, 0, 0], [-9, 0, 0, 0], [0, 0, 0, 0], [-36, -1, -1, 1], [0, 0, 0, 0], [0, -49, -1, -1], [0, 0, 0, 0], [18, 15, 0, 3], [0, 0, 0, 0], [0, 39, -5, -5], [0, 0, 0, 0], [-32, -8, -8, 8], [0, 0, 0, 0], [12, -9, -9, 9], [0, 0, 0, 0], [0, 20, -8, -8], [0, 0, 0, 0], [-11, 15, 11, -11], [0, 0, 0, 0], [0, 27, 0, 0], [0, 0, 0, 0], [18, 7, 7, -7], [0, 0, 0, 0], [12, -18, -18, 18], [0, 0, 0, 0], [0, 111, 3, 3], [0, 0, 0, 0], [-216, 205, 33, -1], [0, 0, 0, 0], [0, -17, -25, -25], [0, 0, 0, 0], [-144, -3, -3, 3], [0, 0, 0, 0], [166, 6, 6, -6], [0, 0, 0, 0], [0, -108, 0, 0], [0, 0, 0, 0], [45, -45, 9, 0], [0, 0, 0, 0], [0, -438, 14, 14], [0, 0, 0, 0], [-825, 6, 6, -6], [0, 0, 0, 0], [132, -15, -15, 15], [0, 0, 0, 0], [0, 317, 1, 1], [0, 0, 0, 0], [244, -115, 37, -11], [0, 0, 0, 0], [0, 120, 24, 24], [0, 0, 0, 0], [284, 49, 49, -49], [0, 0, 0, 0], [-154, 32, 32, -32], [0, 0, 0, 0], [0, -9, 27, 27], [0, 0, 0, 0], [224, 315, 11, 49], [0, 0, 0, 0], [0, -490, 34, 34], [0, 0, 0, 0], [84, -24, -24, 24], [0, 0, 0, 0], [192, -38, -38, 38], [0, 0, 0, 0], [0, -706, 38, 38], [0, 0, 0, 0], [12, 0, -33, -33], [0, 0, 0, 0], [0, 350, 110, 110], [0, 0, 0, 0], [-540, 14, 14, -14], [0, 0, 0, 0], [81, 0, 0, 0], [0, 0, 0, 0], [0, -124, 16, 16], [0, 0, 0, 0], [-584, 155, 55, -39], [0, 0, 0, 0], [0, -75, -21, -21], [0, 0, 0, 0], [-390, 48, 48, -48], [0, 0, 0, 0], [-192, -146, -146, 146], [0, 0, 0, 0], [0, 18, 54, 54], [0, 0, 0, 0], [672, 360, 40, -88], [0, 0, 0, 0], [0, 920, 32, 32], [0, 0, 0, 0], [324, 9, 9, -9], [0, 0, 0, 0]], 'ap': [[0, 0, 0, 0], [0, -3, 0, 0], [-5, 5, -1, 0], [0, 1, -3, -3], [-36, -1, -1, 1], [0, -49, -1, -1], [0, 39, -5, -5], [-32, -8, -8, 8], [0, 20, -8, -8], [18, 7, 7, -7], [12, -18, -18, 18], [0, -17, -25, -25], [166, 6, 6, -6], [0, -108, 0, 0], [0, -438, 14, 14], [0, 317, 1, 1], [284, 49, 49, -49], [-154, 32, 32, -32], [0, -490, 34, 34], [192, -38, -38, 38], [0, -706, 38, 38], [-540, 14, 14, -14], [0, -124, 16, 16], [-390, 48, 48, -48], [0, 920, 32, 32], [-1270, 31, 31, -31], [0, 1067, -25, -25], [0, 16, -116, -116], [198, 78, 78, -78], [0, -133, -33, -33], [0, 921, -11, -11], [524, -35, -35, 35], [0, 1217, 93, 93], [-368, -30, -30, 30], [86, 115, 115, -115], [1316, -94, -94, 94], [0, 77, 21, 21], [0, -1526, 6, 6], [0, -1608, -52, -52], [0, 207, -197, -197], [316, 9, 9, -9], [1778, 162, 162, -162], [1096, 38, 38, -38], [0, -742, 298, 298], [0, 1503, -141, -141], [-316, -66, -66, 66], [-544, 198, 198, -198], [0, -3345, -133, -133], [0, 3356, 280, 280], [-1630, -314, -314, 314], [0, -975, -435, -435], [2408, -378, -378, 378], [2206, -116, -116, 116], [-1004, 33, 33, -33], [0, -279, 389, 389], [0, 3156, -136, -136], [-7538, 41, 41, -41], [-5812, 30, 30, -30], [0, -4749, 323, 323], [918, -204, -204, 204], [0, -1278, 142, 142], [0, 4753, -371, -371], [0, -5888, -228, -228], [-184, 310, 310, -310], [0, -6742, -70, -70], [0, 6621, 361, 361], [4504, -8, -8, 8], [0, 4198, -386, -386], [0, -1504, -356, -356], [-758, 796, 796, -796], [0, -3375, -643, -643], [-5320, 452, 452, -452], [0, -5911, 5, 5], [0, -8533, -141, -141], [3352, -614, -614, 614], [0, -1218, -606, -606], [-1450, -1001, -1001, 1001], [0, 663, -1073, -1073], [2258, -126, -126, 126], [-1930, -382, -382, 382], [5404, 683, 683, -683], [-9042, -286, -286, 286], [7064, 516, 516, -516], [0, 4506, -662, -662], [-764, -802, -802, 802], [0, 2352, -196, -196], [686, 730, 730, -730], [0, 3036, -380, -380], [7090, -823, -823, 823], [0, -9851, -719, -719], [0, 8736, -132, -132], [-8912, 322, 322, -322], [0, 979, -609, -609], [-3012, -1027, -1027, 1027], [-7288, 132, 132, -132], [0, -86, -18, -18], [10818, 527, 527, -527], [-3094, 750, 750, -750], [0, -1918, -1010, -1010], [9882, 362, 362, -362], [0, 9140, 1056, 1056], [0, 1047, -365, -365], [0, 9408, -132, -132], [4982, 466, 466, -466], [-4024, -864, -864, 864], [0, 5248, 928, 928], [0, 2440, -1516, -1516], [0, -8861, -201, -201], [-5688, 1084, 1084, -1084], [4534, -1474, -1474, 1474], [0, -5473, 1499, 1499], [0, -16867, 613, 613], [0, 8023, 1083, 1083], [-1488, -626, -626, 626], [-13876, -246, -246, 246], [590, -518, -518, 518], [0, 6102, 1922, 1922], [0, 17510, 698, 698], [0, 7167, 1363, 1363], [19684, 443, 443, -443], [-15186, -668, -668, 668], [0, 7166, -354, -354], [0, 9141, 129, 129], [0, -9188, 120, 120], [4288, -2188, -2188, 2188], [-6898, 569, 569, -569], [-5694, 1018, 1018, -1018], [13928, -1000, -1000, 1000], [0, -3933, 47, 47], [0, 8325, -1979, -1979], [-13832, -88, -88, 88], [0, -2358, -434, -434], [1260, 1418, 1418, -1418], [0, 18859, 1035, 1035], [3482, -1518, -1518, 1518], [-2542, 1638, 1638, -1638], [0, -4745, 3003, 3003], [0, 13834, -970, -970], [0, 25737, -643, -643], [202, 1058, 1058, -1058], [11848, 566, 566, -566], [-11610, 465, 465, -465], [0, 11053, -1415, -1415], [0, 6228, -2336, -2336], [-27306, -878, -878, 878], [1704, -3456, -3456, 3456], [0, -10015, -1095, -1095], [0, 38779, 95, 95], [6856, 2082, 2082, -2082], [0, 22272, -588, -588], [0, 9653, -691, -691], [-31298, 1336, 1336, -1336], [0, 26782, -2182, -2182], [0, 6624, 2276, 2276], [0, 29824, -196, -196], [-25200, 432, 432, -432], [12804, 654, 654, -654], [2158, -3206, -3206, 3206], [0, -4244, 2764, 2764], [23234, 1605, 1605, -1605], [0, -36336, 556, 556], [0, 7719, 4059, 4059], [0, -17411, -1303, -1303], [5588, 1297, 1297, -1297], [0, 40835, 455, 455], [0, -8674, 418, 418], [47572, 666, 666, -666], [0, 7161, 3233, 3233]], 'char_orbit_index': 6, 'field_poly': [1024, 0, 65, 0, 1], 'hecke_orbit_code': 58547138820309952, 'hecke_ring_character_values': [[511, [1, 0, 0, 0]], [901, [1, 0, 0, 0]], [641, [1, 0, 0, 0]], [577, [-1, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 32, 1, 32], 'hecke_ring_inverse_denominators': [1, 2, 2, 2], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0], [0, -1, 1, 1], [-66, 1, 1, -1], [0, 97, -33, -33]], 'hecke_ring_numerators': [[1, 0, 0, 0], [0, 33, 0, 1], [33, 1, 1, 0], [-1056, 65, -32, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 4, 'label': '960.4.f.n', 'level': 960, 'maxp': 997, 'weight': 4}
• 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': 15360, 'analytic_conductor': 56.64183360551099, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [960, 2, [511, 901, 641, 577], [2, 2, 2, 1]], 'conrey_index': 769, 'cusp_dim': 552, 'dim': 72, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 343664493504, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 6, 6, 8, 8], 'label': '960.4.f', 'level': 960, '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': [2, 3, 5], 'level_radical': 30, 'mf_dim': 600, 'mf_new_dim': 72, 'num_forms': 21, 'prim_orbit_index': 2, 'relative_dim': 72, 'sturm_bound': 768, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [72, 0, 0, 0, 0, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 944, 0, 0, 0, 0, 0, 0, 0, -3528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, -560, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5832, 0, 0, 0, -2352, 0, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 1104, 0, 0, 0, 1392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8040, 0, 0, 0, -2400, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2928, 0, 0, 0, -3376, 0, 0, 0, 4704, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5024, 0, 0, 0, 4128, 0, 0, 0, -15320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10032, 0, 0, 0, -6320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15648, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13888, 0, 0, 0, 792, 0, 0, 0, -17584, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 32160, 0, 0, 0, 6816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13984, 0, 0, 0, -4672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7984, 0, 0, 0, -1872, 0, 0, 0, -8056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -87488, 0, 0, 0, -11168, 0, 0, 0, 26208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18624, 0, 0, 0, 4256, 0, 0, 0, 11104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -47712, 0, 0, 0, 9888, 0, 0, 0, -25296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13224, 0, 0, 0, 86144, 0, 0, 0, -8496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27744, 0, 0, 0, -192, 0, 0, 0, -37120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31760, 0, 0, 0, 0, 0, 0, 0, -48272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -10320, 0, 0, 0, 1888, 0, 0, 0, 45216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31752, 0, 0, 0, -39360, 0, 0, 0, 2384, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43872, 0, 0, 0, 2256, 0, 0, 0, 68928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5696, 0, 0, 0, 30848, 0, 0, 0, -14496, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20208, 0, 0, 0, -52720, 0, 0, 0, 71456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54256, 0, 0, 0, -12864, 0, 0, 0, -68808, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45200, 0, 0, 0, -56256, 0, 0, 0, -8208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29280, 0, 0, 0, -66000, 0, 0, 0, 68592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 73984, 0, 0, 0, 5040, 0, 0, 0, 23424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1520, 0, 0, 0, -97760, 0, 0, 0, 9312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4752, 0, 0, 0, -23800, 0, 0, 0, 113984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9360, 0, 0, 0, -4992, 0, 0, 0, -49792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -82352, 0, 0, 0, -10528, 0, 0, 0, -29568, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34656, 0, 0, 0, -14416, 0, 0, 0, 127776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -38880, 0, 0, 0, 24384, 0, 0, 0, -188208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9856, 0, 0, 0, -103072, 0, 0, 0, -52488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98208, 0, 0, 0, 32976, 0, 0, 0, -225856, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -148112, 0, 0, 0, 21168, 0, 0, 0, -75184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 88896, 0, 0, 0, 70320, 0, 0, 0, 106320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1584, 0, 0, 0, 186624, 0, 0, 0, 106352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -83136, 0, 0, 0, -48480, 0, 0, 0, 86960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32584, 0, 0, 0, 157664, 0, 0, 0, 6528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45312, 0, 0, 0, -90432, 0, 0, 0, -258528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -241776, 0, 0, 0, -90240, 0, 0, 0, 199296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 148512, 0, 0, 0, -832, 0, 0, 0, -864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26976, 0, 0, 0, -90336, 0, 0, 0, 181520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 159488, 0, 0, 0, -9936, 0, 0, 0, 402752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17096, 0, 0, 0, 279680, 0, 0, 0, -2592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12528, 0, 0, 0, 199840, 0, 0, 0, 290112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 590711
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '120.4.f.d', 'target_level': 120, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 590712
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '120.4.f.d', 'target_level': 120, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.f', 'twisting_char_orbit': 6, 'weight': 4}
  • id: 590713
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '240.4.f.g', 'target_level': 240, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 590714
    {'conductor': 40, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '240.4.f.g', 'target_level': 240, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 590715
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '360.4.f.d', 'target_level': 360, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '24.h', 'twisting_char_orbit': 8, 'weight': 4}
  • id: 590716
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '360.4.f.d', 'target_level': 360, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '120.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 590717
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '600.4.a.t', 'target_level': 600, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 590718
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '600.4.a.v', 'target_level': 600, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.i', 'twisting_char_orbit': 9, 'weight': 4}
  • id: 590719
    {'conductor': 24, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '720.4.f.i', 'target_level': 720, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '24.f', 'twisting_char_orbit': 6, 'weight': 4}
  • id: 590720
    {'conductor': 120, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '720.4.f.i', 'target_level': 720, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '120.m', 'twisting_char_orbit': 13, 'weight': 4}
  • id: 590721
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '960.4.f.n', 'target_level': 960, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 590722
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '960.4.f.n', 'target_level': 960, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 590723
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '960.4.f.o', 'target_level': 960, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 590724
    {'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 6, 'target_dim': 4, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '960.4.f.o', 'target_level': 960, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 590725
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 41, 'target_is_minimal': False, 'target_label': '1200.4.a.bo', 'target_level': 1200, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 4}
  • id: 590726
    {'conductor': 40, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '1200.4.a.bq', 'target_level': 1200, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '40.k', 'twisting_char_orbit': 11, 'weight': 4}
  • id: 590727
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 38, 'target_is_minimal': False, 'target_label': '1800.4.a.bl', 'target_level': 1800, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 4}
  • id: 590728
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 4, 'source_hecke_orbit': 14, 'source_is_minimal': False, 'source_label': '960.4.f.n', 'source_level': 960, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 40, 'target_is_minimal': False, 'target_label': '1800.4.a.bn', 'target_level': 1800, 'twist_class_label': '120.4.f.d', 'twist_class_level': 120, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1538575
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 58547138820309952, 'p': 2}
  • id: 1538576
    {'charpoly_factorization': [[[9, 0, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 3}
  • id: 1538577
    {'charpoly_factorization': [[[15625, 2750, 242, 22, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 5}
  • id: 1538578
    {'charpoly_factorization': [[[1345600, 0, 2324, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 7}
  • id: 1538579
    {'charpoly_factorization': [[[1240, 74, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 11}
  • id: 1538580
    {'charpoly_factorization': [[[5161984, 0, 5060, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 13}
  • id: 1538581
    {'charpoly_factorization': [[[2903616, 0, 9492, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 17}
  • id: 1538582
    {'charpoly_factorization': [[[-6656, 80, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 19}
  • id: 1538583
    {'charpoly_factorization': [[[61716736, 0, 17312, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 23}
  • id: 1538584
    {'charpoly_factorization': [[[-5696, -50, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 29}
  • id: 1538585
    {'charpoly_factorization': [[[-41760, 12, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 31}
  • id: 1538586
    {'charpoly_factorization': [[[6453872896, 0, 161828, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 37}
  • id: 1538587
    {'charpoly_factorization': [[[24940, -344, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 41}
  • id: 1538588
    {'charpoly_factorization': [[[11664, 0, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 43}
  • id: 1538589
    {'charpoly_factorization': [[[27742233600, 0, 434256, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 47}
  • id: 1538590
    {'charpoly_factorization': [[[10072129600, 0, 201236, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 53}
  • id: 1538591
    {'charpoly_factorization': [[[-198840, -666, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 59}
  • id: 1538592
    {'charpoly_factorization': [[[-117212, 244, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 61}
  • id: 1538593
    {'charpoly_factorization': [[[8276632576, 0, 778448, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 67}
  • id: 1538594
    {'charpoly_factorization': [[[-162560, -308, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 71}
  • id: 1538595
    {'charpoly_factorization': [[[97443865600, 0, 1369424, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 73}
  • id: 1538596
    {'charpoly_factorization': [[[251392, 1052, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 79}
  • id: 1538597
    {'charpoly_factorization': [[[311451904, 0, 96800, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, 'p': 83}
  • id: 1538598
    {'charpoly_factorization': [[[-180252, 684, 1], 2]], 'hecke_orbit_code': 58547138820309952, 'p': 89}
  • id: 1538599
    {'charpoly_factorization': [[[510230204416, 0, 1956992, 0, 1], 1]], 'hecke_orbit_code': 58547138820309952, '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': 6, 'hecke_orbit': 14, 'label': '960.4.f.n', 'level': 960, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 59283733
    {'hecke_orbit_code': 58547138820309952, 'n': 1, 'trace_an': 4}
  • id: 59283734
    {'hecke_orbit_code': 58547138820309952, 'n': 2, 'trace_an': 0}
  • id: 59283735
    {'hecke_orbit_code': 58547138820309952, 'n': 3, 'trace_an': 0}
  • id: 59283736
    {'hecke_orbit_code': 58547138820309952, 'n': 4, 'trace_an': 0}
  • id: 59283737
    {'hecke_orbit_code': 58547138820309952, 'n': 5, 'trace_an': -22}
  • id: 59283738
    {'hecke_orbit_code': 58547138820309952, 'n': 6, 'trace_an': 0}
  • id: 59283739
    {'hecke_orbit_code': 58547138820309952, 'n': 7, 'trace_an': 0}
  • id: 59283740
    {'hecke_orbit_code': 58547138820309952, 'n': 8, 'trace_an': 0}
  • id: 59283741
    {'hecke_orbit_code': 58547138820309952, 'n': 9, 'trace_an': -36}
  • id: 59283742
    {'hecke_orbit_code': 58547138820309952, 'n': 10, 'trace_an': 0}
  • id: 59283743
    {'hecke_orbit_code': 58547138820309952, 'n': 11, 'trace_an': -148}
  • id: 59283744
    {'hecke_orbit_code': 58547138820309952, 'n': 12, 'trace_an': 0}
  • id: 59283745
    {'hecke_orbit_code': 58547138820309952, 'n': 13, 'trace_an': 0}
  • id: 59283746
    {'hecke_orbit_code': 58547138820309952, 'n': 14, 'trace_an': 0}
  • id: 59283747
    {'hecke_orbit_code': 58547138820309952, 'n': 15, 'trace_an': 66}
  • id: 59283748
    {'hecke_orbit_code': 58547138820309952, 'n': 16, 'trace_an': 0}
  • id: 59283749
    {'hecke_orbit_code': 58547138820309952, 'n': 17, 'trace_an': 0}
  • id: 59283750
    {'hecke_orbit_code': 58547138820309952, 'n': 18, 'trace_an': 0}
  • id: 59283751
    {'hecke_orbit_code': 58547138820309952, 'n': 19, 'trace_an': -160}
  • id: 59283752
    {'hecke_orbit_code': 58547138820309952, 'n': 20, 'trace_an': 0}
  • id: 59283753
    {'hecke_orbit_code': 58547138820309952, 'n': 21, 'trace_an': 12}
  • id: 59283754
    {'hecke_orbit_code': 58547138820309952, 'n': 22, 'trace_an': 0}
  • id: 59283755
    {'hecke_orbit_code': 58547138820309952, 'n': 23, 'trace_an': 0}
  • id: 59283756
    {'hecke_orbit_code': 58547138820309952, 'n': 24, 'trace_an': 0}
  • id: 59283757
    {'hecke_orbit_code': 58547138820309952, 'n': 25, 'trace_an': 0}
  • id: 59283758
    {'hecke_orbit_code': 58547138820309952, 'n': 26, 'trace_an': 0}
  • id: 59283759
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  • id: 59283951
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  • id: 59283952
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  • id: 59283953
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  • id: 59283954
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  • id: 59283955
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  • id: 59283956
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  • id: 59283957
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  • id: 59283958
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  • id: 59283959
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  • id: 59283960
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  • id: 59283961
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  • id: 59283962
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  • id: 59283963
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  • id: 59283964
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  • id: 59283965
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  • id: 59283966
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  • id: 59283967
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  • id: 59283968
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  • id: 59283969
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  • id: 59283970
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  • id: 59283971
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  • id: 59283972
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  • id: 59283973
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  • id: 59283974
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  • id: 59283975
    {'hecke_orbit_code': 58547138820309952, 'n': 887, 'trace_an': 0}
  • id: 59283976
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  • id: 59283977
    {'hecke_orbit_code': 58547138820309952, 'n': 911, 'trace_an': -99072}
  • id: 59283978
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  • id: 59283979
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  • id: 59283980
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  • id: 59283981
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  • id: 59283982
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  • id: 59283983
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  • id: 59283984
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  • id: 59283985
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  • id: 59283986
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  • id: 59283987
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  • id: 59283988
    {'hecke_orbit_code': 58547138820309952, 'n': 983, 'trace_an': 0}
  • id: 59283989
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  • id: 59283990
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