Newform data - 1323.4.a.i

Formats: - HTML - YAML - JSON - 2024-09-20T07:19:10.441141

• 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': 21168, 'analytic_conductor': 78.05952693759484, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [7, 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': [1323, 1, [785, 1081], [1, 1]], 'cm_discs': [-3], 'conrey_index': 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, [0, 1]], [5, [0, 1]], [13, [-89, 1]]], 'hecke_orbit': 9, 'hecke_orbit_code': 36028797086074155, 'hecke_ring_generator_nbound': 1, '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, 3, 2, -1, 2, -3]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1323.4.a.i', 'level': 1323, 'level_is_powerful': True, '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': '189.4.e.c', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-8q^{4}+89q^{13}+2^{6}q^{16}+56q^{19}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '3.2.1.d1', 'self_twist_discs': [-3], 'self_twist_type': 1, 'space_label': '1323.4.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 473430131899423446, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.948', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.002', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.789', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '9.160', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [1, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 89, 0, 0, 64, 0, 0, 56, 0, 0, 0, 0, 0, -125, 0, 0, 0, 0, 0, -289, 0, 0, 0, 0, 0, -433, 0, 0, 0, 0, 0, 71, 0, 0, 0, 0, 0, 0, 0, 0, -712, 0, 0, 0, 0, 0, 0, 0, 0, 719, 0, 0, -512, 0, 0, 1007, 0, 0, 0, 0, 0, 1190, 0, 0, -448, 0, 0, 503, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -523, 0, 0, 1000, 0, 0, -19, 0, 0, 0, 0, 0, 2213, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1331, 0, 0, 2312, 0, 0, 2267, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3043, 0, 0, 0, 0, 0, 0, 0, 0, 3464, 0, 0, 1961, 0, 0, 0, 0, 0, -3850, 0, 0, 0, 0, 0, 3779, 0, 0, 0, 0, 0, 5724, 0, 0, -568, 0, 0, 0, 0, 0, 0, 0, 0, 3458, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5111, 0, 0, 0, 0, 0, 863, 0, 0, 0, 0, 0, 0, 0, 0, 5696, 0, 0, -3961, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3220, 0, 0, 0, 0, 0, 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-271567, 0, 0, 0, 0, 0, -276625, 0, 0, 0, 0, 0, -63631, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -352529, 0, 0, 0, 0, 0, -112714, 0, 0, -36352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 161432, 0, 0, 191900, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 251099, 0, 0, 0, 0, 0, 274553, 0, 0, 0, 0, 0, -281251, 0, 0, 0, 0, 0, -148877, 0, 0, 193984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 108290, 0, 0, 220184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -284941, 0, 0, 0, 0, 0, 241793, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 109816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 71497, 0, 0, 0, 0, 0, 34580, 0, 0, 0, 0, 0, 0, 0, 0, 221312, 0, 0, -286580, 0, 0, 0, 0, 0, 0, 0, 0, -304264, 0, 0, 0, 0, 0, 0, 0, 0, 281447, 0, 0, 0, 0, 0, -217799, 0, 0, 0, 0, 0, 0, 0, 0, 314648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 277130, 0, 0, -48376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -323512, 0, 0, 0, 0, 0, 209773, 0, 0, 0, 0, 0, -215600, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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], [-8], [0], [0], [0], [0], [0], [0], [0], [0], [89], [0], [0], [64], [0], [0], [56], [0], [0], [0], [0], [0], [-125], [0], [0], [0], [0], [0], [-289], [0], [0], [0], [0], [0], [-433], [0], [0], [0], [0], [0], [71], [0], [0], [0], [0], [0], [0], [0], [0], [-712], [0], [0], [0], [0], [0], [0], [0], [0], [719], [0], [0], [-512], [0], [0], [1007], [0], [0], [0], [0], [0], [1190], [0], [0], [-448], [0], [0], [503], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [0], [-523], [0], [0], [1000]], 'ap': [[0], [0], [0], [0], [0], [89], [0], [56], [0], [0], [-289], [-433], [0], [71], [0], [0], [0], [719], [1007], [0], [1190], [503], [0], [0], [-523], [0], [-19], [0], [2213], [0], [2267], [0], [0], [-3043], [0], [1961], [-3850], [3779], [0], [0], [0], [3458], [0], [5111], [0], [863], [-3961], [-3220], [0], [2357], [0], [0], [2609], [0], [0], [0], [0], [7289], [9197], [0], [-9469], [0], [-3943], [0], [10010], [0], [992], [-4930], [0], [10547], [0], [0], [4340], [12350], [14687], [0], [0], [-14257], [0], [8297], [0], [17138], [0], [16739], [14924], [0], [0], [6497], [0], [-19780], [0], [0], [20900], [0], [21743], [0], [0], [0], [-11881], [-22678], [-22933], [0], [0], [0], [23312], [27323], [0], [0], [0], [17351], [-28420], [-30241], [0], [-37], [-28351], [0], [19259], [0], [0], [0], [-20482], [24050], [0], [0], [-20179], [0], [-27523], [0], [38033], [-39331], [6047], [0], [-23452], [17333], [0], [-4606], [0], [-28747], [0], [0], [39368], [0], [-33391], [0], [17066], [0], [-46690], [0], [18503], [0], [-13357], [0], [-20680], [0], [4607], [0], [46817], [0], [15227], [0], [0], [0], [53927], [0], [0], [0], [59669], [-62893], [8693], [0], [0], [-40138], [0], [-15370], [-65683], [0], [57581], [0], [-47899], [30203], [12980], [0], [2141], [0], [0], [0], [13553], [-75040], [52037], [0], [23870], [0], [-42769], [0], [0], [0], [-7198], [82529], [0], [0], [0], [-82549], [63593], [-38323], [0], [0], [-14527], [0], [0], [-51319], [-1513], [0], [-94051], [0], [0], [11951], [15860], [0], [0], [0], [-73891], [-101593], [0], [-77380], [0], [54503], [0], [0], [-109060], [0], [-8710], [-69496], [13049], [0], [-50311], [0], [112574], [0], [0], [0], [0], [31808], [100100], [121283], [0], [0], [81863], [0], [-118816], [0], [106037], [0], [0], [41813], [0], [0], [-7939], [-17803], [0], [4970], [-24820], [0], [96857], [37259], [0], [-139897], [0], [0], [142760], [0], [138278], [-144073], [93221], [-13033], [-71890], [-132841], [0], [-33193], [-135001], [0], [0], [-96139], [0], [-111169], [-3313], [0], [-71119], [0], [-150967], [0], [0], [0], [0], [0], [-42589], [0], [146249], [0], [0], [-60517], [-177301], [0], [171236], [0], [-10711], [-21223], [0], [-12166], [0], [60590], [0], [0], [0], [-53101], [0], [45197], [0], [0], [-150211], [0], [-171808], [-69190], [0], [-150499], [0], [-19171], [-97147], [199439], [0], [0], [62441], [0], [-142324], [0], [-213571], [0], [183707], [0], [-207919], [-88237], [-31249], [0], [0], [87932], [0], [0], [226529], [188480], [0], [0], [164141], [156113], [0], [178220], [182447], [0], [0], [0], [0], [0], [204623], [0], [0], [0], [-160543], [90791], [0], [147041], [244511], [0], [245537], [0], [0], [257348], [-93367], [0], [0], [78839], [0], [-39130], [0], [0], [-51463], [0], [99773], [0], [193229], [-256303], [-131920], [0], [214073], [0], [0], [-115813], [0], [233801], [-271567], [0], [-63631], [0], [-112714], [0], [191900], [0], [0], [251099], [274553], [0], [-281251], [0], [108290], [0], [0], [-284941], [241793], [0], [0], [34580], [0], [0], [0], [281447], [0], [0], [277130], [0], [0], [0], [-323512], [0]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 36028797086074155, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '1323.4.a.i', 'level': 1323, 'maxp': 2999, '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

  
  {'ALdims': [41, 40, 39, 44], 'Nk2': 21168, 'analytic_conductor': 78.05952693759484, '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': [1323, 1, [785, 1081], [1, 1]], 'conrey_index': 1, 'cusp_dim': 480, 'dim': 164, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5, 13], 'hecke_orbit_code': 67110187, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 12, 12], 'label': '1323.4.a', 'level': 1323, 'level_is_powerful': True, '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': 528, 'mf_new_dim': 164, 'num_forms': 43, 'plus_dim': 85, 'prim_orbit_index': 1, 'relative_dim': 164, 'sturm_bound': 672, 'trace_bound': 13, 'trace_display': [0, 0, 0, 0], 'traces': [164, 0, 0, 662, 0, 0, 0, 0, 0, -30, 0, 0, -2, 0, 0, 2810, 0, 0, -62, 0, 0, -270, 0, 0, 4202, 0, 0, 0, 0, 0, 406, 0, 0, -204, 0, 0, -338, 0, 0, -1266, 0, 0, 592, 0, 0, -1224, 0, 0, 0, 0, 0, 220, 0, 0, 1122, 0, 0, 300, 0, 0, 2410, 0, 0, 12302, 0, 0, 1222, 0, 0, 0, 0, 0, 1540, 0, 0, 2128, 0, 0, -2486, 0, 0, 1104, 0, 0, -720, 0, 0, -8730, 0, 0, 0, 0, 0, 1704, 0, 0, -3056, 0, 0, 15740, 0, 0, -5606, 0, 0, 510, 0, 0, 1096, 0, 0, 0, 0, 0, -6660, 0, 0, 3900, 0, 0, 22898, 0, 0, 18382, 0, 0, -12038, 0, 0, 17724, 0, 0, 0, 0, 0, 8328, 0, 0, -6662, 0, 0, 36, 0, 0, -6780, 0, 0, -6332, 0, 0, -3068, 0, 0, 0, 0, 0, 6172, 0, 0, -18786, 0, 0, -10142, 0, 0, -2730, 0, 0, 27090, 0, 0, 10744, 0, 0, 0, 0, 0, -9588, 0, 0, 4102, 0, 0, -6864, 0, 0, 18816, 0, 0, 11568, 0, 0, 1384, 0, 0, 0, 0, 0, -12992, 0, 0, -11118, 0, 0, 36780, 0, 0, -7640, 0, 0, -5594, 0, 0, -5874, 0, 0, 0, 0, 0, 17802, 0, 0, -19736, 0, 0, -39420, 0, 0, -9536, 0, 0, 32784, 0, 0, 5388, 0, 0, 0, 0, 0, -3182, 0, 0, 66628, 0, 0, -17110, 0, 0, 11214, 0, 0, 16716, 0, 0, 49250, 0, 0, 0, 0, 0, 33786, 0, 0, 34050, 0, 0, 29032, 0, 0, -8936, 0, 0, -1020, 0, 0, -15020, 0, 0, 0, 0, 0, 8284, 0, 0, -93816, 0, 0, 33788, 0, 0, -9206, 0, 0, 39252, 0, 0, 54222, 0, 0, 0, 0, 0, 13492, 0, 0, 45856, 0, 0, 726, 0, 0, 35104, 0, 0, -94892, 0, 0, 2160, 0, 0, 0, 0, 0, 32866, 0, 0, 9876, 0, 0, 18838, 0, 0, -33672, 0, 0, -41558, 0, 0, -63024, 0, 0, 0, 0, 0, -51138, 0, 0, -62858, 0, 0, -141486, 0, 0, 20280, 0, 0, 6126, 0, 0, 75570, 0, 0, 0, 0, 0, -38192, 0, 0, 50496, 0, 0, -58166, 0, 0, -12972, 0, 0, -53918, 0, 0, -40968, 0, 0, 0, 0, 0, 23710, 0, 0, 20472, 0, 0, 110634, 0, 0, -9692, 0, 0, 137360, 0, 0, -56992, 0, 0, 0, 0, 0, 16576, 0, 0, -185516, 0, 0, -104970, 0, 0, 8436, 0, 0, 15718, 0, 0, -24570, 0, 0, 0, 0, 0, -49440, 0, 0, 103330, 0, 0, -44276, 0, 0, 5446, 0, 0, -165060, 0, 0, -152748, 0, 0, 0, 0, 0, -25452, 0, 0, 84840, 0, 0, -24626, 0, 0, -58476, 0, 0, -114416, 0, 0, -135852, 0, 0, 0, 0, 0, -25080, 0, 0, -143030, 0, 0, 19344, 0, 0, 53426, 0, 0, 242348, 0, 0, 57874, 0, 0, 0, 0, 0, 37560, 0, 0, 233782, 0, 0, -8456, 0, 0, 9780, 0, 0, -79494, 0, 0, 4750, 0, 0, 0, 0, 0, 68424, 0, 0, -17508, 0, 0, 423948, 0, 0, -75506, 0, 0, 23544, 0, 0, 46412, 0, 0, 0, 0, 0, -4998, 0, 0, -182160, 0, 0, -137306, 0, 0, 61824, 0, 0, -145982, 0, 0, 164040, 0, 0, 0, 0, 0, -186740, 0, 0, 133376, 0, 0, -107436, 0, 0, 28596, 0, 0, -84048, 0, 0, -7106, 0, 0, 0, 0, 0, -98954, 0, 0, 62700, 0, 0, 38802, 0, 0, -52776, 0, 0, 39656, 0, 0, -2840, 0, 0, 0, 0, 0, 93960, 0, 0, -196706, 0, 0, -159410, 0, 0, -46022, 0, 0, 273084, 0, 0, 129226, 0, 0, 0, 0, 0, -58298, 0, 0, 153384, 0, 0, 181328, 0, 0, 139624, 0, 0, 18016, 0, 0, 73614, 0, 0, 0, 0, 0, 178038, 0, 0, 47728, 0, 0, 56112, 0, 0, 6360, 0, 0, 20740, 0, 0, -121818, 0, 0, 0, 0, 0, 51286, 0, 0, -146070, 0, 0, -112920, 0, 0, -137004, 0, 0, 198904, 0, 0, -115206, 0, 0, 0, 0, 0, 128778, 0, 0, 191532, 0, 0, -27608, 0, 0, 75448, 0, 0, -293166, 0, 0, 142584, 0, 0, 0, 0, 0, -22, 0, 0, 36888, 0, 0, 269818, 0, 0, -194820, 0, 0, -87312, 0, 0, -276012, 0, 0, 0, 0, 0, -232388, 0, 0, -163526, 0, 0, 50478, 0, 0, 25096, 0, 0, -161424, 0, 0, 131548, 0, 0, 0, 0, 0, -174138, 0, 0, 205200, 0, 0, 228460, 0, 0, 94248, 0, 0, 9142, 0, 0, 150120, 0, 0, 0, 0, 0, 62196, 0, 0, 66784, 0, 0, -572798, 0, 0, -103784, 0, 0, -390330, 0, 0, -88368, 0, 0, 0, 0, 0, 177622, 0, 0, -264972, 0, 0, -62086, 0, 0, -310670, 0, 0, 278808, 0, 0, -153996, 0, 0, 0, 0, 0, -205014, 0, 0, 56644, 0, 0, -509856, 0, 0, 52184, 0, 0, 85308, 0, 0, -32720, 0, 0, 0, 0, 0, -17390, 0, 0, -30320, 0, 0, 219900, 0, 0, 154188, 0, 0, 150980, 0, 0, -524924, 0, 0, 0, 0, 0, -94392, 0, 0, 51838, 0, 0, -120534, 0, 0, -29294, 0, 0, -193980, 0, 0, 1878, 0, 0, 0, 0, 0, 209966, 0, 0, 31104, 0, 0, 44314, 0, 0, 381954, 0, 0, 206254, 0, 0, -30648, 0, 0, 0, 0, 0, 234088, 0, 0, 31422, 0, 0, 84852, 0, 0, -150144, 0, 0, -311568, 0, 0, -99266, 0, 0, 0, 0, 0, 9246, 0, 0, -214148, 0, 0, -14018, 0, 0, 17346, 0, 0, 232078, 0, 0, 132924, 0, 0, 0, 0, 0, -252894, 0, 0, 163972, 0, 0, -350304, 0, 0, 273792, 0, 0, -247800, 0, 0, -111262, 0, 0, 0, 0, 0, -361080, 0, 0, -86280, 0, 0, 157626, 0, 0, -84224, 0, 0, -12404, 0, 0, 334638, 0, 0, 0, 0, 0, 293704, 0, 0, -206436, 0, 0, -317442, 0, 0, -79830, 0, 0, 148448, 0, 0, 155632, 0, 0, 0, 0, 0, -31316, 0, 0, -112110], '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: 708466
    {'conductor': 7, 'degree': 2, 'multiplicity': 2, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '189.4.e.c', 'target_level': 189, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '7.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 708467
    {'conductor': 21, 'degree': 2, 'multiplicity': 2, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 5, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '189.4.e.c', 'target_level': 189, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '21.h', 'twisting_char_orbit': 8, 'weight': 4}
  • id: 708468
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1323.4.a.f', 'target_level': 1323, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 708469
    {'conductor': 21, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1323.4.a.f', 'target_level': 1323, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '21.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 708470
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1323.4.a.i', 'target_level': 1323, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 708471
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': -3, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 9, 'source_is_minimal': False, 'source_label': '1323.4.a.i', 'source_level': 1323, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1323.4.a.i', 'target_level': 1323, 'twist_class_label': '189.4.e.c', 'twist_class_level': 189, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1863675
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 2}
  • id: 1863676
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 3}
  • id: 1863677
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 5}
  • id: 1863678
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 7}
  • id: 1863679
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 11}
  • id: 1863680
    {'charpoly_factorization': [[[-89, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 13}
  • id: 1863681
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 17}
  • id: 1863682
    {'charpoly_factorization': [[[-56, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 19}
  • id: 1863683
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 23}
  • id: 1863684
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 29}
  • id: 1863685
    {'charpoly_factorization': [[[289, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 31}
  • id: 1863686
    {'charpoly_factorization': [[[433, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 37}
  • id: 1863687
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 41}
  • id: 1863688
    {'charpoly_factorization': [[[-71, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 43}
  • id: 1863689
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 47}
  • id: 1863690
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 53}
  • id: 1863691
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 59}
  • id: 1863692
    {'charpoly_factorization': [[[-719, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 61}
  • id: 1863693
    {'charpoly_factorization': [[[-1007, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 67}
  • id: 1863694
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 71}
  • id: 1863695
    {'charpoly_factorization': [[[-1190, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 73}
  • id: 1863696
    {'charpoly_factorization': [[[-503, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 79}
  • id: 1863697
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 83}
  • id: 1863698
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 36028797086074155, 'p': 89}
  • id: 1863699
    {'charpoly_factorization': [[[523, 1], 1]], 'hecke_orbit_code': 36028797086074155, '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': 9, 'label': '1323.4.a.i', 'level': 1323, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 51656737
    {'hecke_orbit_code': 36028797086074155, 'n': 1, 'trace_an': 1}
  • id: 51656738
    {'hecke_orbit_code': 36028797086074155, 'n': 2, 'trace_an': 0}
  • id: 51656739
    {'hecke_orbit_code': 36028797086074155, 'n': 3, 'trace_an': 0}
  • id: 51656740
    {'hecke_orbit_code': 36028797086074155, 'n': 4, 'trace_an': -8}
  • id: 51656741
    {'hecke_orbit_code': 36028797086074155, 'n': 5, 'trace_an': 0}
  • id: 51656742
    {'hecke_orbit_code': 36028797086074155, 'n': 6, 'trace_an': 0}
  • id: 51656743
    {'hecke_orbit_code': 36028797086074155, 'n': 7, 'trace_an': 0}
  • id: 51656744
    {'hecke_orbit_code': 36028797086074155, 'n': 8, 'trace_an': 0}
  • id: 51656745
    {'hecke_orbit_code': 36028797086074155, 'n': 9, 'trace_an': 0}
  • id: 51656746
    {'hecke_orbit_code': 36028797086074155, 'n': 10, 'trace_an': 0}
  • id: 51656747
    {'hecke_orbit_code': 36028797086074155, 'n': 11, 'trace_an': 0}
  • id: 51656748
    {'hecke_orbit_code': 36028797086074155, 'n': 12, 'trace_an': 0}
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  • id: 51656946
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  • id: 51656949
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  • id: 51656950
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  • id: 51656952
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  • id: 51656953
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  • id: 51656954
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  • id: 51656955
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  • id: 51656962
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  • id: 51656965
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  • id: 51656967
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  • id: 51656969
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  • id: 51656971
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  • id: 51656972
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  • id: 51656973
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  • id: 51656974
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  • id: 51656976
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  • id: 51656978
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  • id: 51656980
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  • id: 51656982
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  • id: 51656983
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  • id: 51656984
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  • id: 51656985
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  • id: 51656986
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  • id: 51656987
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  • id: 51656988
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  • id: 51656989
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  • id: 51656990
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  • id: 51656991
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  • id: 51656992
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  • id: 51656994
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