Newform data - 9576.2.a.y

Formats: - HTML - YAML - JSON - 2024-04-19T21:34:59.760256

• mf_newforms •

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

  
  {'Nk2': 38304, 'analytic_conductor': 76.4647449755781, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [3, -1], [7, 1], [19, 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': [9576, 1, [7183, 4789, 5321, 4105, 1009], [1, 1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'conrey_indexes': [1], 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[5, [-4, 1]], [11, [4, 1]], [13, [-2, 1]], [17, [-4, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090455912, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9576.2.a.y', 'level': 9576, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 19], 'level_radical': 798, 'minimal_twist': '3192.2.a.k', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q+4q^{5}-q^{7}-4q^{11}+2q^{13}+4q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/9576/y'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9576.2.a', 'trace_display': [0, 0, 4, -1], 'trace_hash': 1999084064182047218, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.011', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.040', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.049', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.156', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.255', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.573', 'prec': 17}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.012', 'prec': 17}, 'traces': [1, 0, 0, 0, 4, 0, -1, 0, 0, 0, -4, 0, 2, 0, 0, 0, 4, 0, -1, 0, 0, 0, 0, 0, 11, 0, 0, 0, -4, 0, -8, 0, 0, 0, -4, 0, -2, 0, 0, 0, 6, 0, 12, 0, 0, 0, 10, 0, 1, 0, 0, 0, 0, 0, -16, 0, 0, 0, 12, 0, -2, 0, 0, 0, 8, 0, -8, 0, 0, 0, -6, 0, 14, 0, 0, 0, 4, 0, -8, 0, 0, 0, -6, 0, 16, 0, 0, 0, -2, 0, -2, 0, 0, 0, -4, 0, 2, 0, 0, 0, 12, 0, -8, 0, 0, 0, 14, 0, -14, 0, 0, 0, 16, 0, 0, 0, 0, 0, -4, 0, 5, 0, 0, 0, 24, 0, -4, 0, 0, 0, 22, 0, 1, 0, 0, 0, 6, 0, 8, 0, 0, 0, -8, 0, -16, 0, 0, 0, 22, 0, 4, 0, 0, 0, -32, 0, -2, 0, 0, 0, 0, 0, 4, 0, 0, 0, 12, 0, -9, 0, 0, 0, -6, 0, -11, 0, 0, 0, 10, 0, -2, 0, 0, 0, -8, 0, -16, 0, 0, 0, -8, 0, -14, 0, 0, 0, 10, 0, 20, 0, 0, 0, 4, 0, 24, 0, 0, 0, 4, 0, -12, 0, 0, 0, 48, 0, 8, 0, 0, 0, 8, 0, 16, 0, 0, 0, 24, 0, -14, 0, 0, 0, -6, 0, 40, 0, 0, 0, -28, 0, 26, 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0, 0, 0, 0, 10, 0, -96, 0, 0, 0, 72, 0, 8, 0, 0, 0, 12, 0, -48, 0, 0, 0, -44, 0, 32, 0, 0, 0, 24, 0, 24, 0, 0, 0, 4, 0, -36, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 16, 0, 0, 0, 36, 0, -48, 0, 0, 0, 30, 0, 152, 0, 0, 0, -20, 0, -24, 0, 0, 0, 32, 0, -2, 0, 0, 0, 48, 0, 70, 0, 0, 0, 18, 0, 72, 0, 0, 0, -6, 0, 96, 0, 0, 0, -62, 0, -40, 0, 0, 0, -44, 0, -28, 0, 0, 0, 32, 0, 2, 0, 0, 0, 32, 0, -2, 0, 0, 0, 84, 0, 24, 0, 0, 0, -22, 0, 6, 0, 0, 0, -152, 0, -16, 0, 0, 0, -100, 0, 0, 0, 0, 0, -10, 0, 44, 0, 0, 0, 96, 0, 55, 0, 0, 0, -12, 0, -2, 0, 0, 0, 160, 0, 22, 0, 0, 0, -76, 0, 40, 0, 0, 0, -40, 0, -26, 0, 0, 0, -72, 0, 80, 0, 0, 0, 0, 0, -10, 0, 0, 0, -56, 0, -16, 0, 0, 0, 12, 0, -16, 0, 0, 0, -8, 0, 40, 0, 0, 0, 94, 0, -8, 0, 0, 0, 6, 0, 64, 0, 0, 0, 32, 0, -4, 0, 0, 0, -24, 0, -56, 0, 0, 0, -56, 0, -90, 0, 0, 0, -32, 0, 8, 0, 0, 0, 66, 0, -42, 0, 0, 0, 44, 0, 0, 0, 0, 0, -96, 0, 52, 0, 0, 0, -20, 0, 168, 0, 0, 0, 20, 0, -32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 32, 0, 24, 0, 0, 0, 56, 0, 80, 0, 0, 0, -88, 0, -26, 0, 0, 0, -12, 0, -44, 0, 0, 0, 4, 0, -110, 0, 0, 0, 8, 0, 36, 0, 0, 0, -96, 0, 64, 0, 0, 0, 0, 0, 26, 0, 0, 0, 96, 0, 48, 0, 0, 0, -64, 0, 9, 0, 0, 0, -64, 0, -46, 0, 0, 0, -36, 0, -136, 0, 0, 0, 20, 0, 26, 0, 0, 0, 0, 0, 72, 0, 0, 0, -48, 0, 24, 0, 0, 0, -192, 0, -32, 0, 0, 0, -68, 0, -54, 0, 0, 0, 36, 0, 36, 0, 0, 0, -52, 0, -24, 0, 0, 0, -14, 0, 20, 0, 0, 0, 242, 0, -64, 0, 0, 0, -56, 0, -8, 0, 0, 0, 6, 0, 0, 0, 0, 0, 4, 0, -24, 0, 0, 0, -26, 0, -66, 0, 0, 0, 8, 0, -52, 0, 0, 0, 48, 0, 50, 0, 0, 0, -112, 0, 88, 0, 0, 0, 50, 0, 11, 0, 0, 0, 54, 0, 72, 0, 0, 0, 0, 0, -60, 0, 0, 0, -12, 0, 40, 0, 0, 0, 110, 0, 40, 0, 0, 0, -6, 0, 32, 0, 0, 0, -44, 0, -98, 0, 0, 0, 8, 0, 4, 0, 0, 0, 18, 0, 14, 0, 0, 0, -80, 0, 112, 0, 0, 0, 80, 0, -8, 0, 0, 0, 50, 0, -76, 0, 0, 0, -8, 0, -96, 0, 0, 0, -10, 0, -36, 0, 0, 0, -114, 0, 8, 0, 0, 0, 60, 0, -88, 0, 0, 0, 24, 0, 24, 0, 0, 0, 66, 0, 0, 0, 0, 0, 140, 0, 106, 0, 0, 0, 16, 0, 2, 0, 0, 0, -104, 0, 0, 0, 0, 0, -50, 0, 16, 0, 0, 0, -112, 0, -98, 0, 0, 0, -22, 0, 8, 0, 0, 0, 32, 0, 50, 0, 0, 0, 0, 0, 88, 0, 0, 0, -6, 0, 85, 0, 0, 0, 96, 0, -48, 0, 0, 0, 72, 0, -28, 0, 0, 0, -36, 0, -76, 0, 0, 0, -128, 0, 40, 0, 0, 0, -20, 0, -108, 0, 0, 0, 8, 0, -34, 0, 0, 0, 6, 0, -16, 0, 0, 0, -96, 0, 114, 0, 0, 0, 86, 0, -48, 0, 0, 0, -36, 0, -42, 0, 0, 0, 104, 0, 100, 0, 0, 0, 0, 0, 16, 0, 0, 0, -18, 0, 4, 0, 0, 0, 18, 0, 0, 0, 0, 0, -72, 0, 68, 0, 0, 0, -88, 0, 14, 0, 0, 0, 70, 0, 40, 0, 0, 0, -48, 0, -4, 0, 0, 0, 96, 0, 56, 0, 0, 0, -24, 0, 20, 0, 0, 0, 32, 0, 48, 0, 0, 0, 0, 0, -90, 0, 0, 0, -8, 0, 40, 0, 0, 0, 114, 0, -96, 0, 0, 0, 8, 0, 80, 0, 0, 0, -32, 0, -14, 0, 0, 0, -96, 0, -116, 0, 0, 0, -10, 0, -12, 0, 0, 0, -32, 0, 192, 0, 0, 0, -102, 0, -4, 0, 0, 0, 40, 0, 14, 0, 0, 0, 46, 0, -46, 0, 0, 0, -28, 0, 16, 0, 0, 0, 16, 0, 128, 0, 0, 0, 32, 0, 68, 0, 0, 0, 48, 0, -42, 0, 0, 0, -66, 0, 23, 0, 0, 0, 8, 0, -74, 0, 0, 0, -80, 0, -88, 0, 0, 0, -6, 0, -57, 0, 0, 0, 242, 0, -32, 0, 0, 0, -12, 0, 74, 0, 0, 0, -24, 0, -96, 0, 0, 0, -10, 0, -56, 0, 0, 0, 0, 0, -40, 0, 0, 0, 48, 0, -2, 0, 0, 0, -28, 0, 0, 0, 0, 0, 24, 0, -46, 0, 0, 0, 4, 0, 44, 0, 0, 0, 86, 0, -20, 0, 0, 0, -136, 0, 18, 0, 0, 0, 64, 0, -98, 0, 0, 0, -32, 0, -88, 0, 0, 0, 78, 0, 128, 0, 0, 0, 68, 0, 16, 0, 0, 0, 56, 0, 128, 0, 0, 0, -26, 0, -32, 0, 0, 0, -24, 0, 4, 0, 0, 0, -84, 0, 96, 0, 0, 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], [0], [0], [0], [4], [0], [-1], [0], [0], [0], [-4], [0], [2], [0], [0], [0], [4], [0], [-1], [0], [0], [0], [0], [0], [11], [0], [0], [0], [-4], [0], [-8], [0], [0], [0], [-4], [0], [-2], [0], [0], [0], [6], [0], [12], [0], [0], [0], [10], [0], [1], [0], [0], [0], [0], [0], [-16], [0], [0], [0], [12], [0], [-2], [0], [0], [0], [8], [0], [-8], [0], [0], [0], [-6], [0], [14], [0], [0], [0], [4], [0], [-8], [0], [0], [0], [-6], [0], [16], [0], [0], [0], [-2], [0], [-2], [0], [0], [0], [-4], [0], [2], [0], [0], [0]], 'ap': [[0], [0], [4], [-1], [-4], [2], [4], [-1], [0], [-4], [-8], [-2], [6], [12], [10], [0], [12], [-2], [-8], [-6], [14], [-8], [-6], [-2], [2], [12], [-8], [14], [-14], [16], [-4], [22], [6], [8], [22], [4], [-2], [4], [12], [-6], [10], [-2], [-8], [-14], [10], [20], [-12], [16], [24], [-14], [-6], [-28], [26], [-26], [-6], [12], [-18], [-8], [10], [-16], [8], [34], [20], [-6], [26], [12], [24], [-2], [-32], [-26], [36], [-24], [36], [-34], [-32], [-4], [-18], [-2], [-28], [6], [-30], [2], [10], [2], [16], [24], [-20], [-26], [-20], [-24], [14], [6], [-8], [-16], [28], [-6], [-18], [10], [4], [-18], [-4], [46], [24], [-24], [-4], [18], [38], [24], [6], [-38], [40], [-14], [-2], [8], [8], [12], [-16], [18], [-6], [-6], [2], [2], [-2], [-22], [-28], [10], [26], [14], [-8], [10], [12], [-22], [12], [-34], [32], [-6], [-6], [-20], [-30], [22], [-12], [-2], [-56], [6], [46], [24], [-2], [6], [44], [-2], [-2], [-36], [-12], [-20], [-36], [46], [-40], [4], [-38], [-18], [-12], [44], [8], [-28], [44], [56], [56], [62], [-2], [36], [30], [10], [-44], [54], [-16], [24], [-28], [2], [-8], [-26], [32], [-12], [26], [-58], [-24], [-36], [-14], [36], [14], [-50], [30], [-52], [16], [14], [44], [66], [-26], [54], [-28], [22], [-40], [8], [-34], [-50], [-10], [20], [4], [-34], [18], [-4], [46], [4], [48], [48], [-40], [-50], [0], [-70], [6], [-18], [34], [-40], [-64], [-40], [12], [-10], [2], [-42], [-64], [24], [-10], [-4], [32], [0], [-44], [-66], [38], [-14], [24], [-52], [-54], [44], [-4], [-66], [-54], [-34], [12], [-8], [20], [-48], [-18], [48], [-36], [54], [-24], [-12], [-58], [28], [-26], [-46], [-56], [70], [58], [-46], [8], [-36], [72], [56], [20], [-18], [-82], [-4], [46], [-24], [-62], [36], [-56], [-26], [10], [-58], [-84], [80], [-22], [-74], [-76], [-44], [-62], [36], [4], [-22], [38], [10], [-24], [20], [14], [16], [48], [-60], [24], [-16], [-70], [-12], [-8], [54], [20], [30], [-34], [18], [-12], [50], [26], [-58], [-12], [-32], [-64], [58], [6], [-62], [-66], [-18], [36], [-2], [78], [-36], [-14], [-22], [-52], [-28], [18], [-14], [62], [-20], [-4], [26], [28], [-26], [78], [14], [30], [-88], [-66], [62], [82], [32], [-12], [-54], [10], [-84], [40], [-84], [-28], [-42], [50], [48], [-90], [-54], [-30], [66], [-78], [-14], [86], [48], [26], [-74], [72], [-62], [72], [44], [-46], [-20], [-76], [36], [8], [0], [-74], [-60], [-88], [74], [-24], [-62], [70], [6], [8], [-82], [76], [-60], [-40], [34], [68], [-52], [6], [-6], [-36], [28], [90], [-2], [88], [62], [72], [78], [34], [14], [-72], [-30], [94], [12], [70], [-84], [-60], [42], [-14], [6], [6], [20], [-86], [48], [10], [8], [-44], [24], [4], [38], [36], [-20], [70], [18], [-6], [-62], [-40], [-22], [6], [-100], [44], [96], [22], [-76], [-26], [-10], [-16], [40], [94], [6], [-90], [66], [-42], [-20], [80], [-88], [-26], [-110], [36], [-96], [96], [-64], [-46], [-36], [26], [-68], [-54], [36], [36], [20], [-26], [-66], [-52], [50], [88], [50], [54], [72], [40], [110], [-44], [-98], [18], [14], [50], [-76], [-114], [60], [106], [-50], [-98], [-22], [8], [32], [50], [72], [-76], [-108], [-34], [-96], [114], [86], [-36], [-42], [100], [-18], [4], [68], [70], [40], [96], [48], [-90], [-8], [114], [80], [-14], [-116], [-102], [46], [-46], [-28], [68], [-42], [-66], [-74], [-6], [-32], [74], [-96], [-28], [24], [-46], [86], [-98], [-32], [78], [-26], [-32], [-84]], 'char_orbit_index': 1, 'field_poly': [0, 1], 'hecke_orbit_code': 108086391090455912, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 1, 'label': '9576.2.a.y', 'level': 9576, 'maxp': 3833, 'weight': 2}
• mf_newspaces •

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

  
  {'AL_dims': [[[[2, -1], [3, -1], [7, -1], [19, -1]], 9, 4], [[[2, 1], [3, 1], [7, -1], [19, -1]], 6, 4], [[[2, 1], [3, -1], [7, -1], [19, 1]], 9, 4], [[[2, 1], [3, 1], [7, -1], [19, 1]], 7, 4], [[[2, -1], [3, 1], [7, -1], [19, 1]], 7, 4], [[[2, 1], [3, -1], [7, 1], [19, 1]], 12, 5], [[[2, -1], [3, 1], [7, -1], [19, -1]], 6, 4], [[[2, 1], [3, 1], [7, 1], [19, 1]], 6, 3], [[[2, 1], [3, -1], [7, -1], [19, -1]], 12, 4], [[[2, -1], [3, -1], [7, 1], [19, -1]], 11, 6], [[[2, 1], [3, -1], [7, 1], [19, -1]], 9, 5], [[[2, -1], [3, -1], [7, 1], [19, 1]], 9, 4], [[[2, -1], [3, 1], [7, 1], [19, -1]], 7, 4], [[[2, 1], [3, 1], [7, 1], [19, -1]], 7, 4], [[[2, -1], [3, 1], [7, 1], [19, 1]], 6, 3], [[[2, -1], [3, -1], [7, -1], [19, 1]], 11, 5]], 'ALdims': [6, 7, 7, 6, 12, 9, 9, 12, 6, 7, 7, 6, 9, 11, 11, 9], 'Nk2': 38304, 'analytic_conductor': 76.4647449755781, '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': [9576, 1, [7183, 4789, 5321, 4105, 1009], [1, 1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 1889, 'dim': 134, 'eis_dim': 63, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13, 17], 'hecke_orbit_code': 33564008, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5], 'label': '9576.2.a', 'level': 9576, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7, 19], 'level_radical': 798, 'mf_dim': 1952, 'mf_new_dim': 134, 'num_forms': 67, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 134, 'sturm_bound': 3840, 'trace_bound': 17, 'trace_display': [0, 0, 4, 0], 'traces': [134, 0, 0, 0, 4, 0, 0, 0, 0, 0, -12, 0, 4, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 134, 0, 0, 0, -4, 0, 16, 0, 0, 0, -12, 0, 4, 0, 0, 0, -4, 0, 20, 0, 0, 0, 0, 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0, 96, 0, 0, 0, -168, 0, -128, 0, 0, 0, 56, 0, -368, 0, 0, 0, -12, 0, -4, 0, 0, 0, 408, 0, -616, 0, 0, 0, 80, 0, -112, 0, 0, 0, 168, 0, 4, 0, 0, 0, -296, 0, 376, 0, 0, 0, 160, 0, -592, 0, 0, 0, 476, 0, 152, 0, 0, 0, 96, 0, 16, 0, 0, 0, -8, 0, -56, 0, 0, 0, -136, 0, -16, 0, 0, 0, 84, 0, -536, 0, 0, 0, 776, 0, 312, 0, 0, 0, 136, 0, -96, 0, 0, 0, 264, 0, 188, 0, 0, 0, 0, 0, -56, 0, 0, 0, 136, 0, 224, 0, 0, 0, -204, 0, -56, 0, 0, 0, 232, 0, -252, 0, 0, 0, -28, 0, 232, 0, 0, 0, -732, 0, 36, 0, 0, 0, -104, 0, -864, 0, 0, 0, -24, 0, -198, 0, 0, 0, 232, 0, 128, 0, 0, 0, 440, 0, -264, 0, 0, 0, 240, 0, 424, 0, 0, 0, -360, 0, -80, 0, 0, 0, -140, 0, -24, 0, 0, 0, -164, 0, -428, 0, 0, 0, 132, 0, -160, 0, 0, 0, 240, 0, -676, 0, 0, 0, -316, 0, 208, 0, 0, 0, 148, 0, 116, 0, 0, 0, 392, 0, 240, 0, 0, 0, -32, 0, 8, 0, 0, 0, 156, 0, -520, 0, 0, 0, 208, 0, -600, 0, 0, 0, -232, 0, -448, 0, 0, 0, 368, 0, 12, 0, 0, 0, -644, 0, 200, 0, 0, 0, -1016, 0, 504, 0, 0, 0, 204, 0, -368, 0, 0, 0, -48, 0, -536, 0, 0, 0, 112, 0, 144, 0, 0, 0, 80, 0, 132, 0, 0, 0, 476, 0, 252, 0, 0, 0, -192, 0, 392, 0, 0, 0, -48, 0, 696, 0, 0, 0, 8, 0, -356, 0, 0, 0, -80, 0, -136, 0, 0, 0, -120, 0, 80, 0, 0, 0, -16, 0, -456, 0, 0, 0, -312, 0, 24, 0, 0, 0, 300, 0, 96, 0, 0, 0, 88, 0, 436, 0, 0, 0, -68, 0, 80, 0, 0, 0, -344, 0, -24, 0, 0, 0, 96, 0, -36, 0, 0, 0, 736, 0, -264, 0, 0, 0, -84, 0, -32, 0, 0, 0, 1040, 0, -292, 0, 0, 0, -400, 0, 128, 0, 0, 0, 64, 0, 294, 0, 0, 0, -36, 0, 328, 0, 0, 0, -208, 0, -316, 0, 0, 0, 48, 0, 208, 0, 0, 0, 16, 0, -80, 0, 0, 0, -144, 0, -168, 0, 0, 0, -176, 0, 212, 0, 0, 0, -52, 0, -732, 0, 0, 0, -440, 0, -444, 0, 0, 0, 8, 0, -232, 0, 0, 0, -72, 0, -16, 0, 0, 0, -352, 0, -96, 0, 0, 0, 488, 0, -36, 0, 0, 0, -524, 0, 168, 0, 0, 0, -232, 0, 136, 0, 0, 0, -264, 0, -32, 0, 0, 0, 168, 0, 416, 0, 0, 0, -268, 0, -256, 0, 0, 0, -144, 0, -32, 0, 0, 0, 156, 0, -240, 0, 0, 0], '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: 1437961
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9576.2.a.y', 'source_level': 9576, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': True, 'target_label': '3192.2.a.k', 'target_level': 3192, 'twist_class_label': '3192.2.a.k', 'twist_class_level': 3192, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1437962
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9576.2.a.y', 'source_level': 9576, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': False, 'target_label': '6384.2.a.b', 'target_level': 6384, 'twist_class_label': '3192.2.a.k', 'twist_class_level': 3192, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 2}
  • id: 1437963
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 1, 'source_hecke_orbit': 25, 'source_is_minimal': False, 'source_label': '9576.2.a.y', 'source_level': 9576, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 25, 'target_is_minimal': False, 'target_label': '9576.2.a.y', 'target_level': 9576, 'twist_class_label': '3192.2.a.k', 'twist_class_level': 3192, '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: 5066775
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 2}
  • id: 5066776
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 3}
  • id: 5066777
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 5}
  • id: 5066778
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 7}
  • id: 5066779
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 11}
  • id: 5066780
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 13}
  • id: 5066781
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 17}
  • id: 5066782
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 19}
  • id: 5066783
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 23}
  • id: 5066784
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 29}
  • id: 5066785
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 31}
  • id: 5066786
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 37}
  • id: 5066787
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 41}
  • id: 5066788
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 43}
  • id: 5066789
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 47}
  • id: 5066790
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 53}
  • id: 5066791
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 59}
  • id: 5066792
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 61}
  • id: 5066793
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 67}
  • id: 5066794
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 71}
  • id: 5066795
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 73}
  • id: 5066796
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 79}
  • id: 5066797
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 83}
  • id: 5066798
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 108086391090455912, 'p': 89}
  • id: 5066799
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 108086391090455912, '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': 25, 'label': '9576.2.a.y', 'level': 9576, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 258260000
    {'hecke_orbit_code': 108086391090455912, 'n': 1, 'trace_an': 1}
  • id: 258260001
    {'hecke_orbit_code': 108086391090455912, 'n': 2, 'trace_an': 0}
  • id: 258260002
    {'hecke_orbit_code': 108086391090455912, 'n': 3, 'trace_an': 0}
  • id: 258260003
    {'hecke_orbit_code': 108086391090455912, 'n': 4, 'trace_an': 0}
  • id: 258260004
    {'hecke_orbit_code': 108086391090455912, 'n': 5, 'trace_an': 4}
  • id: 258260005
    {'hecke_orbit_code': 108086391090455912, 'n': 6, 'trace_an': 0}
  • id: 258260006
    {'hecke_orbit_code': 108086391090455912, 'n': 7, 'trace_an': -1}
  • id: 258260007
    {'hecke_orbit_code': 108086391090455912, 'n': 8, 'trace_an': 0}
  • id: 258260008
    {'hecke_orbit_code': 108086391090455912, 'n': 9, 'trace_an': 0}
  • id: 258260009
    {'hecke_orbit_code': 108086391090455912, 'n': 10, 'trace_an': 0}
  • id: 258260010
    {'hecke_orbit_code': 108086391090455912, 'n': 11, 'trace_an': -4}
  • id: 258260011
    {'hecke_orbit_code': 108086391090455912, 'n': 12, 'trace_an': 0}
  • id: 258260012
    {'hecke_orbit_code': 108086391090455912, 'n': 13, 'trace_an': 2}
  • id: 258260013
    {'hecke_orbit_code': 108086391090455912, 'n': 14, 'trace_an': 0}
  • id: 258260014
    {'hecke_orbit_code': 108086391090455912, 'n': 15, 'trace_an': 0}
  • id: 258260015
    {'hecke_orbit_code': 108086391090455912, 'n': 16, 'trace_an': 0}
  • id: 258260016
    {'hecke_orbit_code': 108086391090455912, 'n': 17, 'trace_an': 4}
  • id: 258260017
    {'hecke_orbit_code': 108086391090455912, 'n': 18, 'trace_an': 0}
  • id: 258260018
    {'hecke_orbit_code': 108086391090455912, 'n': 19, 'trace_an': -1}
  • id: 258260019
    {'hecke_orbit_code': 108086391090455912, 'n': 20, 'trace_an': 0}
  • id: 258260020
    {'hecke_orbit_code': 108086391090455912, 'n': 21, 'trace_an': 0}
  • id: 258260021
    {'hecke_orbit_code': 108086391090455912, 'n': 22, 'trace_an': 0}
  • id: 258260022
    {'hecke_orbit_code': 108086391090455912, 'n': 23, 'trace_an': 0}
  • id: 258260023
    {'hecke_orbit_code': 108086391090455912, 'n': 24, 'trace_an': 0}
  • id: 258260024
    {'hecke_orbit_code': 108086391090455912, 'n': 25, 'trace_an': 11}
  • id: 258260025
    {'hecke_orbit_code': 108086391090455912, 'n': 26, 'trace_an': 0}
  • id: 258260026
    {'hecke_orbit_code': 108086391090455912, 'n': 27, 'trace_an': 0}
  • id: 258260027
    {'hecke_orbit_code': 108086391090455912, 'n': 28, 'trace_an': 0}
  • id: 258260028
    {'hecke_orbit_code': 108086391090455912, 'n': 29, 'trace_an': -4}
  • id: 258260029
    {'hecke_orbit_code': 108086391090455912, 'n': 30, 'trace_an': 0}
  • id: 258260030
    {'hecke_orbit_code': 108086391090455912, 'n': 31, 'trace_an': -8}
  • id: 258260031
    {'hecke_orbit_code': 108086391090455912, 'n': 32, 'trace_an': 0}
  • id: 258260032
    {'hecke_orbit_code': 108086391090455912, 'n': 33, 'trace_an': 0}
  • id: 258260033
    {'hecke_orbit_code': 108086391090455912, 'n': 34, 'trace_an': 0}
  • id: 258260034
    {'hecke_orbit_code': 108086391090455912, 'n': 35, 'trace_an': -4}
  • id: 258260035
    {'hecke_orbit_code': 108086391090455912, 'n': 36, 'trace_an': 0}
  • id: 258260036
    {'hecke_orbit_code': 108086391090455912, 'n': 37, 'trace_an': -2}
  • id: 258260037
    {'hecke_orbit_code': 108086391090455912, 'n': 38, 'trace_an': 0}
  • id: 258260038
    {'hecke_orbit_code': 108086391090455912, 'n': 39, 'trace_an': 0}
  • id: 258260039
    {'hecke_orbit_code': 108086391090455912, 'n': 40, 'trace_an': 0}
  • id: 258260040
    {'hecke_orbit_code': 108086391090455912, 'n': 41, 'trace_an': 6}
  • id: 258260041
    {'hecke_orbit_code': 108086391090455912, 'n': 42, 'trace_an': 0}
  • id: 258260042
    {'hecke_orbit_code': 108086391090455912, 'n': 43, 'trace_an': 12}
  • id: 258260043
    {'hecke_orbit_code': 108086391090455912, 'n': 44, 'trace_an': 0}
  • id: 258260044
    {'hecke_orbit_code': 108086391090455912, 'n': 45, 'trace_an': 0}
  • id: 258260045
    {'hecke_orbit_code': 108086391090455912, 'n': 46, 'trace_an': 0}
  • id: 258260046
    {'hecke_orbit_code': 108086391090455912, 'n': 47, 'trace_an': 10}
  • id: 258260047
    {'hecke_orbit_code': 108086391090455912, 'n': 48, 'trace_an': 0}
  • id: 258260048
    {'hecke_orbit_code': 108086391090455912, 'n': 49, 'trace_an': 1}
  • id: 258260049
    {'hecke_orbit_code': 108086391090455912, 'n': 50, 'trace_an': 0}
  • id: 258260050
    {'hecke_orbit_code': 108086391090455912, 'n': 51, 'trace_an': 0}
  • id: 258260051
    {'hecke_orbit_code': 108086391090455912, 'n': 52, 'trace_an': 0}
  • id: 258260052
    {'hecke_orbit_code': 108086391090455912, 'n': 53, 'trace_an': 0}
  • id: 258260053
    {'hecke_orbit_code': 108086391090455912, 'n': 54, 'trace_an': 0}
  • id: 258260054
    {'hecke_orbit_code': 108086391090455912, 'n': 55, 'trace_an': -16}
  • id: 258260055
    {'hecke_orbit_code': 108086391090455912, 'n': 56, 'trace_an': 0}
  • id: 258260056
    {'hecke_orbit_code': 108086391090455912, 'n': 57, 'trace_an': 0}
  • id: 258260057
    {'hecke_orbit_code': 108086391090455912, 'n': 58, 'trace_an': 0}
  • id: 258260058
    {'hecke_orbit_code': 108086391090455912, 'n': 59, 'trace_an': 12}
  • id: 258260059
    {'hecke_orbit_code': 108086391090455912, 'n': 60, 'trace_an': 0}
  • id: 258260060
    {'hecke_orbit_code': 108086391090455912, 'n': 61, 'trace_an': -2}
  • id: 258260061
    {'hecke_orbit_code': 108086391090455912, 'n': 62, 'trace_an': 0}
  • id: 258260062
    {'hecke_orbit_code': 108086391090455912, 'n': 63, 'trace_an': 0}
  • id: 258260063
    {'hecke_orbit_code': 108086391090455912, 'n': 64, 'trace_an': 0}
  • id: 258260064
    {'hecke_orbit_code': 108086391090455912, 'n': 65, 'trace_an': 8}
  • id: 258260065
    {'hecke_orbit_code': 108086391090455912, 'n': 66, 'trace_an': 0}
  • id: 258260066
    {'hecke_orbit_code': 108086391090455912, 'n': 67, 'trace_an': -8}
  • id: 258260067
    {'hecke_orbit_code': 108086391090455912, 'n': 68, 'trace_an': 0}
  • id: 258260068
    {'hecke_orbit_code': 108086391090455912, 'n': 69, 'trace_an': 0}
  • id: 258260069
    {'hecke_orbit_code': 108086391090455912, 'n': 70, 'trace_an': 0}
  • id: 258260070
    {'hecke_orbit_code': 108086391090455912, 'n': 71, 'trace_an': -6}
  • id: 258260071
    {'hecke_orbit_code': 108086391090455912, 'n': 72, 'trace_an': 0}
  • id: 258260072
    {'hecke_orbit_code': 108086391090455912, 'n': 73, 'trace_an': 14}
  • id: 258260073
    {'hecke_orbit_code': 108086391090455912, 'n': 74, 'trace_an': 0}
  • id: 258260074
    {'hecke_orbit_code': 108086391090455912, 'n': 75, 'trace_an': 0}
  • id: 258260075
    {'hecke_orbit_code': 108086391090455912, 'n': 76, 'trace_an': 0}
  • id: 258260076
    {'hecke_orbit_code': 108086391090455912, 'n': 77, 'trace_an': 4}
  • id: 258260077
    {'hecke_orbit_code': 108086391090455912, 'n': 78, 'trace_an': 0}
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  • id: 258260844
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  • id: 258260845
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