Newform data - 7935.2.a.m

Formats: - HTML - YAML - JSON - 2026-10-05T23:50:59.956022

• 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': 31740, 'analytic_conductor': 63.36129400388599, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [5, -1], [23, -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': [7935, 1, [5291, 4762, 7411], [1, 1, 1]], 'cm_discs': [], '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, [-2, 1]], [7, [-2, 1]], [11, [-1, 1]]], 'hecke_orbit': 13, 'hecke_orbit_code': 54043195562008319, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '7935.2.a.m', 'level': 7935, '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, 5, 23], 'level_radical': 345, 'minimal_twist': '7935.2.a.l', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+2q^{2}+q^{3}+2q^{4}+q^{5}+2q^{6}+2q^{7}+\\cdots', 'related_objects': ['EllipticCurve/Q/7935/m'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '7935.2.a', 'trace_display': [2, 1, 1, 2], 'trace_hash': 1790800670799519869, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.024', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.019', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.040', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.969', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.103', 'prec': 10}, {'__RealLiteral__': 0, 'data': '4.782', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.009', 'prec': 4}, 'traces': [1, 2, 1, 2, 1, 2, 2, 0, 1, 2, 1, 2, 4, 4, 1, -4, 0, 2, 1, 2, 2, 2, 0, 0, 1, 8, 1, 4, -6, 2, -1, -8, 1, 0, 2, 2, 6, 2, 4, 0, 3, 4, 2, 2, 1, 0, 10, -4, -3, 2, 0, 8, 10, 2, 1, 0, 1, -12, 8, 2, 7, -2, 2, -8, 4, 2, 10, 0, 0, 4, -15, 0, -6, 12, 1, 2, 2, 8, -5, -4, 1, 6, 6, 4, 0, 4, -6, 0, -6, 2, 8, 0, -1, 20, 1, -8, 2, -6, 1, 2, -3, 0, -8, 0, 2, 20, 16, 2, -7, 2, 6, -8, 16, 2, 0, -12, 4, 16, 0, 0, -10, 14, 3, -2, 1, 4, -20, 0, 2, 8, -3, 2, 2, 20, 1, 0, -12, 0, -13, 4, 10, -30, 4, -4, -6, -12, -3, 12, -5, 2, 9, 0, 0, 4, -1, 8, -18, -10, 10, -8, 0, 2, 16, 6, 1, 12, -6, 0, 3, 0, 1, 4, -14, -12, 2, -4, 8, -12, -11, 2, -7, 16, 7, 0, 6, -2, 0, 20, 2, 2, 0, -8, 8, 4, 4, -6, 26, 2, -11, 0, 10, -6, -12, 0, 3, -16, 0, -16, 1, 4, -7, 20, -15, 32, 2, 0, -2, 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-22, -7, 0, -26, 56, 2, 22, 72, 12, -64, -4, 0, 16, -50, -12, -25, 0, 12, 0, -9, 20, -85, -36, 7, 20, -4, -16, -4, 76, 10, -6, 20, 64, -34, 0, 1, 60, -12, 6, 23, -24, -8, 80, 16, 32, 6, -60, 4, 72, 77, 0, -72, -82, 4, -24, -21, -2, 0, 0, -40, 6, -32, 2, 14, -40, -12, 0, 0, -40, 90, -16, 27, -54, 32, -8, 16, -52, 40, 20, 10, 0, -7, 0, 27, 0, 6, -28, -10, -82, 2, -32, 66, 44, 36, -34, -13, -20, 30, 0, 6, 2, 0, 56, 0, 4, 1, 12, -2, -30, -35, 4, 0, -40, 2, 0, -17, 8, -6, 0, 6, -14, 60, -8, 68, 36, 10, 0, 36, -60, 64, 0, -6, -6, 8, 16, 0, 44, -26, -8, 29, -30, 43, 24, -5, 4, 14, 0, -70, 2, 0, 32, 19, 0, -32, -80, 4, -72, 16, -22, 44, 4, -25, 0, 64, 0, 33, -6, 8, 48, 0, -4, -58, 0, -16, 6, -16, -36, 26, 0, -25, -4, -24, -14, 30, 76, -6, 0, 32, -20, 29, -14, -44, -56, 48, 0, 0, -64, 1, 12, -11, -12, -8, 48, 0, -72, -8, 14, -40, -72, 16, 0, 15, -64, 18, -12, -3, 120, 54, 0, 53, 0, 10, -20, 88, 6, -16, 0, -25, -30, 4, 12, -71, -6, 4, 52, -6, 40, 0, 48, 22, 24, 0, 0, -12, 92, -5, 16, -84, 48, -17, -16, 6, 16, -26, 0, -2, 44, 32, 0, -56, 2, -5, -48, -32, 0, 3, -40, 42, -114, 15, 32, 0, -48, 6, 0, 9, -16, 24, 4, 38, 8, -10, 120, 64, -56, 8, -42, 0, 0, 20, 0, 70, 64, -23, 14, 4, -40, -8, -16, -14, 54, 30, 0, -80, -12, 0, 0, 34, -12, -10, 0, 32, -90, -30, 16, 21, -128, 19, 28, -27, 4, -37, 0, 18, -48, -14, 16, 30, 14, 6, 24, -7, 4, 0, 24, -1, -48, -44, 0, 0, -4, 12, 20, 12, 6, 18, 48, 3, -24, 12, 8, -66, 88, -15, 0, 20, 0, -12, -20, -6, 20, -20, 12, -28, 32, -18, -2, -78, -6, 64, 0, -38, 86, 0, 52, 2, 12, 24, -48, 0, -10, 41, -60, 32, 24, 1, 0, 6, -36, 28, 0, -45, 72, -56, 20, 10, 16, -2, -22, -46, -50, 30, 0, -56, 4, -29, -34, 0, -14, -51, -8, -19, -20, -6, -70, 24, -50, -36, 0, -6, -50, 63, 20, -20, 0, 0, -36, 12, -8, 24, -20, 21, -56, 32, 0, 2, 12, 51, 32, 44, 2, 0, 0, 11, 4, -32, -24, 10, 0, -16, 0, 41, 12, 4, 80, 16, -112, 12, 0, 5, -6, 2, -56, 12, -42, 12, 0, 8, -78, 40, 6, 0, 94, -37, -16, 0, -24, 34, -44, -12, 8, -60, 0, 36, -48, 1, -78, -64, 32, 60, 4, -56, 0, 0, 0, -30, 32, 35, 0, -3, 12, 100, -24, -10, -24, 11, -32, 4, 22, 0, 2, 21, -26, -64, 0, -6, -44, 0, 2, 32, 30, -1, 72, 0, 2, -18, 0, -7, -6, 27, 0, -17, 16, 7, -90, -3, -34, -36, 40, 25, 0, 11, -14, 0, -28, 3, 0, 16, 20, 16, -40, -20, -6, -48, -40, -30, 20, -24, -24, 39, 0, 5, 0, 0, -64, -12, -30, 38, -110, -28, 32, 104, 28, -2, -78, 1, 112, 0, 0, -64, 36, -24, -16, -6, 8, -8, 0, -8, 12, -28, 4, 36, -90, 6, 0, 10, 66, -44, -36, -26, 24, 49, -8, -58, 64, -14, 16, -30, -32, 0, 0, -17, 52, -12, -4, -17, -64, -5, -64, 38, -12, 48, -32, 40, 24, 28, 0, 100, 0, 2, -6, 66, 0, 14, -24, 2, -24, -90, -12, -25, 48, 32, 0, 70, -16, 0, -26, -16, -62, -48, -4, -13, 126, 42, 54, 0, -6, -50, 0, 8, 20, -25, 0, -56, 32, 8, -48, -6, -32, -4, 4, 42, -42, 32, 0, 12, -4, -40, 0, 0, -12, -81, 24, 1, 0, 16, 24, 18, -64, 10, 0, -12, -10, 66, 14, -11, 0, 30, 0, -66, 42, 0, 20, 18, -4, -3, 0, 6, -30, 41, 2, -36, 32, 0, -12, 3, 6, 48, -16, 4, -32, -43, 0, 14, 0, -7, 8, 4, 18, -64, 0, 38, -36, 6, 8, -7, -120, -3, 0, -27, 16, -83, -80, 15, -68, 6, -4, 0, -2, 6, -24, 27, 8, -28, 0, 7, 56, 30, 54, 66, 2, -6, -16, -10, 0, -6, 80, 43, 104, 6, 0, 15, 20, 22, 54, -10, 42, 74, 56, -60, -20, 0, 4, 80, -12, 6, 0, 78, -28, 72, -26, -8, 128, 0, 48, 24, -44, 25, 0, 74, -2, 35, 0, -3, -40, 8, -4, 80, -30, 16, -8, -22, 36, -24, 4, 0, 0, -50, 0, 47, 50, 34, 12, -12, 40, -24, 16, -4, -106, 19, 20, -8, 0, -33, 0, 16, -36, 18, -12, 0, -48, -5, -32, -18, -56, 2, -52, 12, 4, 0, 0, 0, 36, -38, -10, -21, -76, -24, 48, 12, 2, -60, 0, 2, 96, 7, 0, -40, 126, 54, 8, 25, 20, -42, 44, 0, -36, 70, -50, 9, 12, -6, 0, 0, -58, 0, 16, -24, 40, -33, -8, 20, -6, -30, -32, 14, 48, 24, 0, 16, -34, -24, -50, 24, 92, 8, 28, -56, 0, 48, -12, 52, -16, -96, 0, 12, -20, 0, -88, 95, 4, -45, -64, -4, -20, 10, 2, -56, -80, -26, 0, 0, -64, -30, 0, 4, 4, -70, -28, 18, -32, 52, 32, 2, 32, -10, 0, -6, 128, -3, -6, 0, -144, -7, 0, -1, 24, -34, 20, 16, 16, 16, 0, 54, -28, 26, -50, -66, 0, 21, -24, 20, -50, 36, 8, -30, 100, 0, 0, 45, 2, 20, 44, 20, 132, 0, 8, 108, 92, 15, -10, -16, -60, -18, 0, -11, 16, 48, 12, -21, 0, 28, 0, -18, 22, -17, 64, 6, -58, 37, 0], 'weight': 2, '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], [2], [1], [2], [1], [2], [2], [0], [1], [2], [1], [2], [4], [4], [1], [-4], [0], [2], [1], [2], [2], [2], [0], [0], [1], [8], [1], [4], [-6], [2], [-1], [-8], [1], [0], [2], [2], [6], [2], [4], [0], [3], [4], [2], [2], [1], [0], [10], [-4], [-3], [2], [0], [8], [10], [2], [1], [0], [1], [-12], [8], [2], [7], [-2], [2], [-8], [4], [2], [10], [0], [0], [4], [-15], [0], [-6], [12], [1], [2], [2], [8], [-5], [-4], [1], [6], [6], [4], [0], [4], [-6], [0], [-6], [2], [8], [0], [-1], [20], [1], [-8], [2], [-6], [1], [2]], 'ap': [[2], [1], [1], [2], [1], [4], [0], [1], [0], [-6], [-1], [6], [3], [2], [10], [10], [8], [7], [10], [-15], [-6], [-5], [6], [-6], [2], [-3], [-8], [16], [-7], [16], [-20], [-3], [-12], [-13], [-5], [9], [-18], [16], [-6], [-14], [-11], [-7], [0], [8], [26], [-11], [-7], [12], [4], [27], [-2], [-25], [-25], [15], [18], [24], [21], [-16], [-10], [25], [-24], [-16], [22], [16], [-4], [2], [15], [32], [22], [2], [-30], [0], [-32], [24], [-28], [-6], [3], [36], [-25], [-21], [1], [-17], [33], [-16], [-8], [-16], [-2], [4], [21], [-14], [18], [-29], [-32], [12], [11], [-18], [-30], [-17], [28], [3], [6], [24], [-24], [-21], [7], [14], [-10], [-30], [-17], [-35], [16], [-28], [-22], [-39], [-45], [-39], [-8], [-18], [-16], [-13], [27], [10], [-8], [-40], [27], [2], [-26], [8], [-44], [16], [-25], [22], [-32], [-10], [-23], [19], [6], [-38], [30], [51], [11], [-37], [-12], [-56], [35], [-7], [-28], [-24], [-8], [-26], [32], [42], [8], [42], [38], [15], [43], [25], [34], [-33], [0], [54], [52], [-4], [52], [16], [20], [28], [38], [30], [36], [-41], [-27], [-26], [-41], [-15], [-20], [-3], [22], [1], [38], [-28], [-32], [-36], [60], [-15], [46], [22], [-57], [-45], [-64], [-24], [44], [43], [12], [8], [-10], [6], [2], [-56], [-39], [47], [-24], [11], [-3], [-32], [-55], [56], [6], [-45], [32], [26], [-32], [12], [-31], [63], [16], [-18], [-34], [28], [10], [-15], [-53], [-38], [48], [63], [-18], [20], [46], [-8], [-10], [-40], [-72], [-25], [50], [66], [46], [8], [-29], [72], [6], [-47], [14], [-35], [30], [-35], [38], [45], [3], [54], [48], [55], [22], [18], [-44], [64], [-22], [44], [24], [62], [50], [-46], [-11], [-32], [32], [29], [45], [-25], [-48], [-66], [58], [10], [56], [-31], [50], [-50], [12], [69], [-53], [-13], [-18], [63], [-62], [-34], [-46], [64], [-20], [82], [31], [17], [70], [38], [-78], [-4], [-38], [-22], [-59], [46], [28], [10], [-26], [72], [-64], [-50], [-85], [-4], [-12], [23], [77], [14], [32], [10], [66], [36], [30], [6], [-35], [60], [68], [29], [43], [-70], [19], [-32], [64], [-58], [29], [18], [54], [88], [-71], [-84], [-17], [-26], [-5], [24], [38], [64], [70], [-8], [-80], [34], [-27], [-37], [12], [12], [-66], [-12], [-20], [-78], [41], [6], [-45], [-56], [-46], [-56], [-51], [63], [12], [32], [10], [41], [12], [40], [34], [36], [-64], [-64], [-17], [11], [16], [-48], [39], [5], [38], [-28], [49], [-58], [38], [100], [66], [70], [-50], [-6], [-4], [32], [-81], [18], [66], [30], [-66], [18], [41], [48], [-43], [14], [-64], [-27], [-83], [27], [66], [-10], [74], [78], [74], [35], [80], [-22], [-24], [19], [-18], [12], [-38], [-60], [-40], [25], [-33], [24], [-56], [-96], [95], [-56], [-70], [-3], [54], [-66], [36], [45], [20], [37]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 54043195562008319, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '7935.2.a.m', 'level': 7935, 'maxp': 2999, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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, 44, 51, 33, 43, 40, 33, 51], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [11, 12, 12, 12, 12, 12, 12, 12], 'ALdims_old': [80, 98, 93, 89, 89, 92, 99, 81], 'Nk2': 31740, 'analytic_conductor': 63.36129400388599, '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': [7935, 1, [5291, 4762, 7411], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1057, 'dim': 336, 'eis_dim': 95, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33562367, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 5, 5, 6, 6, 6, 6, 8, 8, 10, 10, 12, 12, 15, 15, 15, 15, 16, 16, 25, 25, 25, 25], 'label': '7935.2.a', 'level': 7935, '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, 5, 23], 'level_radical': 345, 'mf_dim': 1152, 'mf_new_dim': 336, 'num_forms': 49, 'plus_dim': 147, 'prim_orbit_index': 1, 'relative_dim': 336, 'sturm_bound': 2208, 'trace_bound': 7, 'trace_display': [4, -2, 0, 0], 'traces': [336, 4, -2, 340, 0, 2, 0, 12, 336, 4, 16, -6, -8, -8, 2, 340, 0, 4, 8, -8, -8, -8, 0, -6, 336, 24, -2, 8, 16, 2, 16, 28, 0, -24, 8, 340, 16, 8, -4, 12, 24, 0, 8, 24, 0, 0, 16, 2, 328, 4, 12, -32, -8, 2, 0, -32, -16, 24, 0, 6, -16, -32, 0, 348, 16, 16, 8, 24, 0, -24, 24, 12, 8, 0, -2, 0, -40, -28, 8, 0, 336, 32, -8, -8, 8, 0, -20, 16, 8, 4, -32, 0, -16, 24, 0, -30, 0, 44, 16, 340, 16, 36, -8, 88, 0, 16, 16, -6, -8, -24, 4, 64, 56, 24, 0, 64, -8, -8, -8, -6, 376, -64, -12, 40, 0, -8, -48, 4, -16, 8, 8, -8, -8, -64, 2, -48, 24, 0, 40, 0, 24, 16, -40, 340, 24, -120, -18, 48, 16, 2, 8, -64, 0, -32, 0, 44, 8, -64, -28, 28, 0, 4, -56, 16, 0, 40, 8, 72, 384, 24, 8, 32, 88, 36, 0, -16, 32, 8, 40, -8, 88, -8, 4, 0, 16, 24, 64, -80, -8, -16, -96, 74, 16, 16, 4, 316, 72, -8, 0, 12, -24, 80, 48, 12, 8, -112, 0, -136, 32, 16, 24, -24, 8, 32, 24, -6, -88, -32, 20, 24, 72, 20, -48, 8, 336, 32, -88, -32, -40, 0, 32, -32, -48, 24, -8, 64, 8, 144, -32, 30, 56, 12, -2, 16, -16, -4, 40, -136, 24, 4, 0, 8, 0, 8, -12, 436, 16, 16, 16, -8, 16, -88, 0, 56, 32, 48, 36, 168, 56, 2, -8, 80, -48, -48, 16, 0, 40, 24, 16, 0, 40, -8, 80, -48, -8, -8, -40, 28, 360, -88, -60, 144, 64, 90, 24, 64, 0, 96, 0, -6, -8, 104, 44, 72, 16, -24, 0, 40, 8, -32, 8, -4, -64, 40, 8, -8, 104, 60, 0, -8, -8, 0, -96, 340, -8, 120, 52, 48, -72, 16, 72, -48, 16, -104, 16, -32, 8, 180, -36, -24, -72, 8, 0, -104, 0, 216, 184, -28, 0, -8, -4, -96, 72, 16, 8, 48, -24, -16, 120, 12, 352, -104, 38, 88, -32, -20, -72, 0, 24, -48, 104, -96, -64, 56, 2, 96, 80, 0, 56, 96, 24, 72, 24, -86, 24, 32, 8, -152, 64, -28, 0, 196, -8, -80, 16, 24, -336, 0, -344, 340, 88, -40, -184, 136, 0, -48, -48, -44, -296, 32, 20, -64, 160, 0, -16, 192, -328, 152, -96, -24, 0, 24, 16, -96, 0, -8, -216, -48, -96, 40, -24, 2, 56, 184, 12, -128, 0, -20, -240, -64, 328, -152, 112, 4, -40, 160, 4, 64, 80, 4, -24, 24, -384, 72, 0, 8, 64, -8, 12, 0, 88, 16, -48, 24, 16, 8, 32, -32, -256, 8, 44, 160, 88, -48, 8, 96, -8, -128, -184, -30, -56, -112, 0, 556, 16, 2, -304, -120, 24, 76, -24, -84, 72, -88, 0, 56, -88, 96, -24, -8, -24, -192, 8, -32, -8, 0, -350, -48, 72, 4, 48, 84, -16, 0, 24, -104, -168, 248, 28, 8, 48, 24, 48, -24, -8, 144, -56, -8, 0, 40, 0, 240, 8, -60, -8, -64, 24, 72, 96, 6, -120, 96, 4, 40, 0, 64, 64, 160, -16, -8, -120, 0, -368, 96, -4, 16, 24, -32, -40, 72, 72, -16, -96, 56, -16, 120, 0, -8, 8, -40, -72, 80, -40, 184, 0, 348, 176, 28, -276, 48, 8, -28, 128, -40, 16, 72, 8, 58, -120, -16, 76, 40, -64, 16, -40, -8, -72, 0, -72, -6, 128, 464, 8, -32, 64, 28, -336, 64, 88, 72, -96, 24, -72, 224, 28, 344, 128, -168, -16, 112, 0, 0, -40, 68, 336, 144, 32, 64, 168, -24, -168, 208, 40, 160, -96, -28, -200, 120, 24, 4, 80, 64, 24, 0, -48, 144, -64, 12, -48, 24, 32, 40, -80, -84, -32, -32, 8, -88, 8, 64, -48, 192, 32, -80, 16, 0, 0, 136, -368, -16, -16, 56, 96, 72, -2, 340, -72, -12, 176, 8, 16, 56, 128, 0, -16, 32, 68, 112, 80, 0, 192, 48, -40, -8, 0, 92, 80, 160, 100, 8, 40, -28, -296, 160, 48, 72, -312, 72, -8, 8, 8, -72, 0, 112, 40, 312, -88, 8, 0, 0, 160, 212, 28, 24, 16, -6, 192, -80, 336, 8, 120, -212, -208, -64, -14, 0, 208, 32, -272, 88, 8, 240, 104, 88, -8, 64, -8, 208, 88, 2, -88, -240, 56, 208, 96, -8, 56, 240, 0, -48, 104, 120, 144, 56, 8, -232, 32, 114, 56, 112, 84, 112, 16, 0, 16, -24, -432, 72, 64, 68, -88, 0, -20, 684, 0, -48, 152, 320, -32, 56, 72, 16, 104, 0, -4, 152, 8, 32, -8, 28, 8, -72, -104, 64, 0, 16, 76, 64, 64, 4, 96, 40, -32, 256, -104, -20, -296, -56, -32, 16, -8, 164, 88, -72, 0, -256, 48, 0, 24, -88, 20, -144, -144, -32, 48, 88, -16, 40, -80, 40, 360, -208, 60, 144, -48, 24, 24, 48, -32, -24, 0, -24, 88, 120, 0, -16, -96, 64, -248, 136, -56, -32, 8, -30, 56, 24, 170, -200, 24, -76, 120, -104, 0, 0, 8, 124, -80, -184, -44, 88, -16, 44, 160, 200, -8, 72, 80, -20, -8, -56, 16, 16, -24, -60, 16, -184, 0, 0, -72, 340, 112, 40, -336, 16, -16, 80, -56, -296, 16, 96, 112, 0, 104, 112, -20, -168, -48, 36, 80, 0, 96, 8, 200, 200, 16, -2008, -8, -2016, -136, 56, 56, -2064, -32, -224, -48, 88, 144, -2008, 28, 16, 16, -12, 0, 64, 0, -1696, 152, 56, -224, 8, -12, 256, -128, 16, 24, -1864, 144, 200, 112, 38, 376, 104, 16, 304, 48, 0, -48, -1932, 72, 64, -48, -6, -96, 72, -4, 152, 48, 64, 176, -168, -8, -1680, -24, 204, 0, 40, 56, 80, 0, -24, 232, 80, 88, 56, 64, -128, -240, -1880, 4, 12], 'weight': 2, '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: 1369993
    {'conductor': 23, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '7935.2.a.m', 'source_level': 7935, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 12, 'target_is_minimal': True, 'target_label': '7935.2.a.l', 'target_level': 7935, 'twist_class_label': '7935.2.a.l', 'twist_class_level': 7935, 'twisting_char_label': '23.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1369994
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 13, 'source_is_minimal': True, 'source_label': '7935.2.a.m', 'source_level': 7935, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': True, 'target_label': '7935.2.a.m', 'target_level': 7935, 'twist_class_label': '7935.2.a.l', 'twist_class_level': 7935, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 4612250
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 2}
  • id: 4612251
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 3}
  • id: 4612252
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 5}
  • id: 4612253
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 7}
  • id: 4612254
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 11}
  • id: 4612255
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 13}
  • id: 4612256
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 17}
  • id: 4612257
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 19}
  • id: 4612258
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 23}
  • id: 4612259
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 29}
  • id: 4612260
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 31}
  • id: 4612261
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 37}
  • id: 4612262
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 41}
  • id: 4612263
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 43}
  • id: 4612264
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 47}
  • id: 4612265
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 53}
  • id: 4612266
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 59}
  • id: 4612267
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 61}
  • id: 4612268
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 67}
  • id: 4612269
    {'charpoly_factorization': [[[15, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 71}
  • id: 4612270
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 73}
  • id: 4612271
    {'charpoly_factorization': [[[5, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 79}
  • id: 4612272
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 83}
  • id: 4612273
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 54043195562008319, 'p': 89}
  • id: 4612274
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 54043195562008319, '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': 13, 'label': '7935.2.a.m', 'level': 7935, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 57692905
    {'hecke_orbit_code': 54043195562008319, 'n': 1, 'trace_an': 1}
  • id: 57692906
    {'hecke_orbit_code': 54043195562008319, 'n': 2, 'trace_an': 2}
  • id: 57692907
    {'hecke_orbit_code': 54043195562008319, 'n': 3, 'trace_an': 1}
  • id: 57692908
    {'hecke_orbit_code': 54043195562008319, 'n': 4, 'trace_an': 2}
  • id: 57692909
    {'hecke_orbit_code': 54043195562008319, 'n': 5, 'trace_an': 1}
  • id: 57692910
    {'hecke_orbit_code': 54043195562008319, 'n': 6, 'trace_an': 2}
  • id: 57692911
    {'hecke_orbit_code': 54043195562008319, 'n': 7, 'trace_an': 2}
  • id: 57692912
    {'hecke_orbit_code': 54043195562008319, 'n': 8, 'trace_an': 0}
  • id: 57692913
    {'hecke_orbit_code': 54043195562008319, 'n': 9, 'trace_an': 1}
  • id: 57692914
    {'hecke_orbit_code': 54043195562008319, 'n': 10, 'trace_an': 2}
  • id: 57692915
    {'hecke_orbit_code': 54043195562008319, 'n': 11, 'trace_an': 1}
  • id: 57692916
    {'hecke_orbit_code': 54043195562008319, 'n': 12, 'trace_an': 2}
  • id: 57692917
    {'hecke_orbit_code': 54043195562008319, 'n': 13, 'trace_an': 4}
  • id: 57692918
    {'hecke_orbit_code': 54043195562008319, 'n': 14, 'trace_an': 4}
  • id: 57692919
    {'hecke_orbit_code': 54043195562008319, 'n': 15, 'trace_an': 1}
  • id: 57692920
    {'hecke_orbit_code': 54043195562008319, 'n': 16, 'trace_an': -4}
  • id: 57692921
    {'hecke_orbit_code': 54043195562008319, 'n': 17, 'trace_an': 0}
  • id: 57692922
    {'hecke_orbit_code': 54043195562008319, 'n': 18, 'trace_an': 2}
  • id: 57692923
    {'hecke_orbit_code': 54043195562008319, 'n': 19, 'trace_an': 1}
  • id: 57692924
    {'hecke_orbit_code': 54043195562008319, 'n': 20, 'trace_an': 2}
  • id: 57692925
    {'hecke_orbit_code': 54043195562008319, 'n': 21, 'trace_an': 2}
  • id: 57692926
    {'hecke_orbit_code': 54043195562008319, 'n': 22, 'trace_an': 2}
  • id: 57692927
    {'hecke_orbit_code': 54043195562008319, 'n': 23, 'trace_an': 0}
  • id: 57692928
    {'hecke_orbit_code': 54043195562008319, 'n': 24, 'trace_an': 0}
  • id: 57692929
    {'hecke_orbit_code': 54043195562008319, 'n': 25, 'trace_an': 1}
  • id: 57692930
    {'hecke_orbit_code': 54043195562008319, 'n': 26, 'trace_an': 8}
  • id: 57692931
    {'hecke_orbit_code': 54043195562008319, 'n': 27, 'trace_an': 1}
  • id: 57692932
    {'hecke_orbit_code': 54043195562008319, 'n': 28, 'trace_an': 4}
  • id: 57692933
    {'hecke_orbit_code': 54043195562008319, 'n': 29, 'trace_an': -6}
  • id: 57692934
    {'hecke_orbit_code': 54043195562008319, 'n': 30, 'trace_an': 2}
  • id: 57692935
    {'hecke_orbit_code': 54043195562008319, 'n': 31, 'trace_an': -1}
  • id: 57692936
    {'hecke_orbit_code': 54043195562008319, 'n': 32, 'trace_an': -8}
  • id: 57692937
    {'hecke_orbit_code': 54043195562008319, 'n': 33, 'trace_an': 1}
  • id: 57692938
    {'hecke_orbit_code': 54043195562008319, 'n': 34, 'trace_an': 0}
  • id: 57692939
    {'hecke_orbit_code': 54043195562008319, 'n': 35, 'trace_an': 2}
  • id: 57692940
    {'hecke_orbit_code': 54043195562008319, 'n': 36, 'trace_an': 2}
  • id: 57692941
    {'hecke_orbit_code': 54043195562008319, 'n': 37, 'trace_an': 6}
  • id: 57692942
    {'hecke_orbit_code': 54043195562008319, 'n': 38, 'trace_an': 2}
  • id: 57692943
    {'hecke_orbit_code': 54043195562008319, 'n': 39, 'trace_an': 4}
  • id: 57692944
    {'hecke_orbit_code': 54043195562008319, 'n': 40, 'trace_an': 0}
  • id: 57692945
    {'hecke_orbit_code': 54043195562008319, 'n': 41, 'trace_an': 3}
  • id: 57692946
    {'hecke_orbit_code': 54043195562008319, 'n': 42, 'trace_an': 4}
  • id: 57692947
    {'hecke_orbit_code': 54043195562008319, 'n': 43, 'trace_an': 2}
  • id: 57692948
    {'hecke_orbit_code': 54043195562008319, 'n': 44, 'trace_an': 2}
  • id: 57692949
    {'hecke_orbit_code': 54043195562008319, 'n': 45, 'trace_an': 1}
  • id: 57692950
    {'hecke_orbit_code': 54043195562008319, 'n': 46, 'trace_an': 0}
  • id: 57692951
    {'hecke_orbit_code': 54043195562008319, 'n': 47, 'trace_an': 10}
  • id: 57692952
    {'hecke_orbit_code': 54043195562008319, 'n': 48, 'trace_an': -4}
  • id: 57692953
    {'hecke_orbit_code': 54043195562008319, 'n': 49, 'trace_an': -3}
  • id: 57692954
    {'hecke_orbit_code': 54043195562008319, 'n': 50, 'trace_an': 2}
  • id: 57692955
    {'hecke_orbit_code': 54043195562008319, 'n': 51, 'trace_an': 0}
  • id: 57692956
    {'hecke_orbit_code': 54043195562008319, 'n': 52, 'trace_an': 8}
  • id: 57692957
    {'hecke_orbit_code': 54043195562008319, 'n': 53, 'trace_an': 10}
  • id: 57692958
    {'hecke_orbit_code': 54043195562008319, 'n': 54, 'trace_an': 2}
  • id: 57692959
    {'hecke_orbit_code': 54043195562008319, 'n': 55, 'trace_an': 1}
  • id: 57692960
    {'hecke_orbit_code': 54043195562008319, 'n': 56, 'trace_an': 0}
  • id: 57692961
    {'hecke_orbit_code': 54043195562008319, 'n': 57, 'trace_an': 1}
  • id: 57692962
    {'hecke_orbit_code': 54043195562008319, 'n': 58, 'trace_an': -12}
  • id: 57692963
    {'hecke_orbit_code': 54043195562008319, 'n': 59, 'trace_an': 8}
  • id: 57692964
    {'hecke_orbit_code': 54043195562008319, 'n': 60, 'trace_an': 2}
  • id: 57692965
    {'hecke_orbit_code': 54043195562008319, 'n': 61, 'trace_an': 7}
  • id: 57692966
    {'hecke_orbit_code': 54043195562008319, 'n': 62, 'trace_an': -2}
  • id: 57692967
    {'hecke_orbit_code': 54043195562008319, 'n': 63, 'trace_an': 2}
  • id: 57692968
    {'hecke_orbit_code': 54043195562008319, 'n': 64, 'trace_an': -8}
  • id: 57692969
    {'hecke_orbit_code': 54043195562008319, 'n': 65, 'trace_an': 4}
  • id: 57692970
    {'hecke_orbit_code': 54043195562008319, 'n': 66, 'trace_an': 2}
  • id: 57692971
    {'hecke_orbit_code': 54043195562008319, 'n': 67, 'trace_an': 10}
  • id: 57692972
    {'hecke_orbit_code': 54043195562008319, 'n': 68, 'trace_an': 0}
  • id: 57692973
    {'hecke_orbit_code': 54043195562008319, 'n': 69, 'trace_an': 0}
  • id: 57692974
    {'hecke_orbit_code': 54043195562008319, 'n': 70, 'trace_an': 4}
  • id: 57692975
    {'hecke_orbit_code': 54043195562008319, 'n': 71, 'trace_an': -15}
  • id: 57692976
    {'hecke_orbit_code': 54043195562008319, 'n': 72, 'trace_an': 0}
  • id: 57692977
    {'hecke_orbit_code': 54043195562008319, 'n': 73, 'trace_an': -6}
  • id: 57692978
    {'hecke_orbit_code': 54043195562008319, 'n': 74, 'trace_an': 12}
  • id: 57692979
    {'hecke_orbit_code': 54043195562008319, 'n': 75, 'trace_an': 1}
  • id: 57692980
    {'hecke_orbit_code': 54043195562008319, 'n': 76, 'trace_an': 2}
  • id: 57692981
    {'hecke_orbit_code': 54043195562008319, 'n': 77, 'trace_an': 2}
  • id: 57692982
    {'hecke_orbit_code': 54043195562008319, 'n': 78, 'trace_an': 8}
  • id: 57692983
    {'hecke_orbit_code': 54043195562008319, 'n': 79, 'trace_an': -5}
  • id: 57692984
    {'hecke_orbit_code': 54043195562008319, 'n': 80, 'trace_an': -4}
  • id: 57692985
    {'hecke_orbit_code': 54043195562008319, 'n': 81, 'trace_an': 1}
  • id: 57692986
    {'hecke_orbit_code': 54043195562008319, 'n': 82, 'trace_an': 6}
  • id: 57692987
    {'hecke_orbit_code': 54043195562008319, 'n': 83, 'trace_an': 6}
  • id: 57692988
    {'hecke_orbit_code': 54043195562008319, 'n': 84, 'trace_an': 4}
  • id: 57692989
    {'hecke_orbit_code': 54043195562008319, 'n': 85, 'trace_an': 0}
  • id: 57692990
    {'hecke_orbit_code': 54043195562008319, 'n': 86, 'trace_an': 4}
  • id: 57692991
    {'hecke_orbit_code': 54043195562008319, 'n': 87, 'trace_an': -6}
  • id: 57692992
    {'hecke_orbit_code': 54043195562008319, 'n': 88, 'trace_an': 0}
  • id: 57692993
    {'hecke_orbit_code': 54043195562008319, 'n': 89, 'trace_an': -6}
  • id: 57692994
    {'hecke_orbit_code': 54043195562008319, 'n': 90, 'trace_an': 2}
  • id: 57692995
    {'hecke_orbit_code': 54043195562008319, 'n': 91, 'trace_an': 8}
  • id: 57692996
    {'hecke_orbit_code': 54043195562008319, 'n': 92, 'trace_an': 0}
  • id: 57692997
    {'hecke_orbit_code': 54043195562008319, 'n': 93, 'trace_an': -1}
  • id: 57692998
    {'hecke_orbit_code': 54043195562008319, 'n': 94, 'trace_an': 20}
  • id: 57692999
    {'hecke_orbit_code': 54043195562008319, 'n': 95, 'trace_an': 1}
  • id: 57693000
    {'hecke_orbit_code': 54043195562008319, 'n': 96, 'trace_an': -8}
  • id: 57693001
    {'hecke_orbit_code': 54043195562008319, 'n': 97, 'trace_an': 2}
  • id: 57693002
    {'hecke_orbit_code': 54043195562008319, 'n': 98, 'trace_an': -6}
  • id: 57693003
    {'hecke_orbit_code': 54043195562008319, 'n': 99, 'trace_an': 1}
  • id: 57693004
    {'hecke_orbit_code': 54043195562008319, 'n': 100, 'trace_an': 2}